{"slug":"k-dense-ai-analytical-method-validation","name":"analytical-method-validation","description":"Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works.","long_description":"---\nname: analytical-method-validation\ndescription: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works.\nlicense: MIT\ncompatibility: Requires Python 3.11+. Scripts use only the standard library - no numpy, scipy, or network access. Statistical distributions are computed from first principles so results are reproducible in any conforming interpreter.\nallowed-tools: Read Write Edit Bash\nmetadata:\n  version: \"1.0\"\n  skill-author: K-Dense Inc.\n  last-reviewed: \"2026-07-27\"\n---\n\n# Analytical Method Validation\n\n## When to use\n\nAny time the question is whether an analytical procedure is fit for its intended purpose:\ndesigning a validation study, evaluating validation data, verifying a compendial procedure,\ntransferring a procedure to another laboratory or instrument, or defending any of these in a\nreport.\n\n## The two rules\n\n**1. Establish which framework governs before designing anything.** The same assay validates\ndifferently under ICH Q2(R2), USP <1225>, ICH M10, CLSI EP, and ISO/IEC 17025. They differ in\nwhich characteristics are required, how the studies are laid out, and whether numeric acceptance\ncriteria are supplied at all. Blending them produces a protocol that satisfies none of them.\n\n**2. State acceptance criteria before collecting data.** Criteria chosen after seeing results are\nnot acceptance criteria, and deciding them post hoc is a standing audit finding. ICH Q2(R2)\ndeliberately supplies almost no numeric criteria — they have to come from the specification, the\nanalytical target profile (ICH Q14 section 3), or development data. ICH M10 is the exception: it\nsupplies explicit numbers, and they differ between chromatographic assays and ligand binding\nassays.\n\n## Scope\n\nThis skill plans studies, computes the statistics correctly, and structures the documentation. It\ndoes **not** decide that a procedure is validated, release a batch, accept or reject a run, close\nan investigation, or substitute for the analyst, the technical reviewer, the quality unit, or the\nregulator. Every script reports; none of them concludes.\n\n## Copyright boundary\n\nICH guidelines are published openly and licensed for reuse with acknowledgement, so their\nrequirements are encoded directly in this skill. **USP general chapters, CLSI EP documents, and\nISO standards are copyrighted and paywalled.** For those, this skill supplies the designation,\nscope, and where to obtain an authorised copy — never the text, never invented thresholds. Do not\nask an agent to retrieve, transcribe, or reconstruct their content. If a number matters and it\nlives in a paywalled document, read it from the authorised copy.\n\n## Frameworks\n\n```bash\ncd skills/analytical-method-validation/scripts\npython3 plan_validation.py --list-frameworks\n```\n\n| Key | Governs | Numeric criteria supplied |\n| --- | --- | --- |\n| `ich-q2r2` | Release and stability testing of drug substances and products | Almost none — you derive them |\n| `ich-m10` | Bioanalytical concentration measurement (PK, TK, BE) | Yes, and they differ by modality |\n| `usp-1220` | Compendial procedure lifecycle, three stages | Paywalled |\n| `usp-1225` / `usp-1226` | Validation / verification of compendial procedures | Paywalled |\n| `clsi` | Clinical laboratory measurement procedures (EP series) | Paywalled |\n| `iso-17025` | Lab-developed and modified methods under accreditation | No — \"to the extent necessary\" |\n\n**Q2(R2) replaced Q2(R1) in November 2023 and restructured the characteristics.** Range is now\nthe parent characteristic (section 3.2), containing *response* (linearity) and *validation of\nlower range limits* (DL/QL). Accuracy and precision are section 3.3 and may be evaluated in\ncombination against a single criterion. Robustness is treated as a development activity and\ncross-refers to ICH Q14. Multivariate procedures are addressed explicitly (2.5 and 3.2.2.3), and\nAnnex 2 adds worked examples for techniques Q2(R1) never covered — quantitative ¹H-NMR, NIR,\nquantitative LC/MS, qPCR, biological assays, and particle size. A Q2(R1)-shaped protocol — a flat\nlist of linearity, range, accuracy, precision, specificity, LOD, LOQ, robustness — is out of date.\nNote also the error correction dated 30 November 2023 to Table 5 and Tables 6–11.\n\n## Scripts\n\n```bash\ncd skills/analytical-method-validation/scripts\n```\n\n| Script | Question answered |\n| --- | --- |\n| `plan_validation.py` | Which framework, which characteristics, what study layout, what protocol? |\n| `check_response.py` | Does the calibration model actually hold across the range? |\n| `check_accuracy_precision.py` | What is the recovery, and how much of the variability is between days? |\n| `check_detection_limits.py` | What are DL and QL by each allowed approach, and do they serve the reporting threshold? |\n| `check_bioanalytical_run.py` | Does this run meet ICH M10 for its modality? |\n| `compare_methods.py` | Are two procedures equivalent, at a pre-stated margin? |\n\nAll take `--format table|tsv|json`. Provenance, guideline citations, and caveats go to stderr;\ndata goes to stdout, so `> out.tsv` keeps them separate. Exit code is `0` for no findings, `1`\nwhen findings were raised, `2` for bad input — so any of them can gate a workflow.\n\n## Workflow\n\n### 1. Fix the framework and the required characteristics\n\n```bash\npython3 plan_validation.py --framework ich-q2r2 --attribute assay --technique hplc --range-use assay\n```\n\nQ2(R2) Table 1 decides what is required from the *measured attribute*, not from the technique. For\nan assay: specificity, response, accuracy, repeatability, intermediate precision. For a limit\ntest: specificity and DL only. For an identity test: specificity alone. Attributes accepted include\n`assay`, `impurity` (quantitative), `impurity-limit`, and `identity`.\n\nReportable range comes from the specification. Q2(R2) Table 2 gives worked examples — 80–120% of\ndeclared content for an assay, 70–130% for content uniformity, reporting threshold to 120% of the\nspecification for an impurity.\n\n### 2. Generate the protocol and fill in the criteria\n\n```bash\npython3 plan_validation.py --framework ich-q2r2 --attribute impurity --protocol > protocol.md\n```\n\nEvery bracketed field is a decision to make and record *before* data collection. The protocol\nskeleton deliberately refuses to pre-fill acceptance criteria for Q2(R2) work, because there is no\ndefensible default.\n\n### 3. Evaluate the response\n\n```bash\npython3 check_response.py -i calibration.csv --max-back-calc-error 2\n```\n\nInput is `level,response`, one row per injection; repeated rows at the same level are replicates,\nand supplying them is what makes the linearity test possible.\n\nReal output from a curve that a coefficient of determination would wave through:\n\n```\nstatistic                           value\ndistinct levels                     5\nslope                               166.6000\nintercept                           2495.0000\nintercept CI includes 0             no\ncoefficient of determination (r2)   0.9830\nlack-of-fit F                       469.5294\nlack-of-fit p                       1.5139e-06\nruns test p                         0.0492\n\nlevel     n  mean_response  mean_back_calculated  relative_error_pct\n50.0000   2  10075.0000     45.4982               -9.0036\n75.0000   2  15150.0000     75.9604               1.2805\n100.0000  2  20050.0000     105.3721              5.3721\n125.0000  2  24050.0000     129.3818              3.5054\n150.0000  2  26450.0000     143.7875              -4.1417\n```\n\nr² = 0.983 and the model is unusable: −9.0% back-calculated error at the bottom of the range,\nlack-of-fit p = 1.5 × 10⁻⁶, non-random residual signs. **r² is not evidence of linearity** — it\nrises with range and is nearly insensitive to curvature. The lack-of-fit F test against pure error\nand the residual pattern are the evidence, which is why Q2(R2) 3.2.2.1 asks for an analysis of the\ndeviation of points from the line rather than a correlation coefficient alone.\n\nAdd `--weight 1/x2` for a wide-range curve. The script flags heteroscedasticity when the residual\nvariance in the top third of the range exceeds the bottom third by more than 10×, because an\nunweighted fit then biases exactly the low end where a reporting threshold lives.\n\n### 4. Evaluate accuracy and precision\n\n```bash\npython3 check_accuracy_precision.py -i ap.csv --accuracy-limit 2 --rsd-limit 1.0 --design-check assay\n```\n\nInput is `level,measured,group`, where `group` is the intermediate-precision factor — day, analyst,\nor instrument.\n\n```\nlevel  component                       sd      rsd_pct  df      ci90_low_sd  ci90_high_sd\n100    repeatability (within group)    0.0707  0.0707   3       0.0438       0.2065\n100    between-group                   1.6515  1.6515   2       n/a          n/a\n100    intermediate precision (total)  1.6530  1.6530   2.0037  0.9554       7.2821\n```\n\nRepeatability of 0.07% RSD looks superb; intermediate precision is 1.65%, twenty-three times\nlarger, because the variability lives entirely between days. Reporting the within-day figure as\nthe procedure's precision would understate routine performance by more than an order of magnitude.\nThis is why the script fits a one-way random-effects model rather than pooling.\n\nTwo traps the script handles for you:\n\n- **Precision is estimated within each level, never pooled across levels.** Pooling 80/100/120%\n  results into one standard deviation turns the range itself into apparent imprecision. The script\n  reports per level, plus a level-independent view as percent of nominal.\n- **`--require-ci-within-limit`** enforces that the whole confidence interval sits inside the\n  limit, not just the mean. Q2(R2) 3.3.1.4 asks for the interval to be *compatible with* the\n  criterion; a mean that scrapes inside on six replicates has not demonstrated much.\n\n### 5. Establish DL and QL, and confirm them\n\n```bash\npython3 check_detection_limits.py --calibration lowcal.csv --blanks blanks.csv \\\n    --confirm-ql 0.05 --confirm-data ql_check.csv --reporting-threshold 0.05\n```\n\n```\napproach                                          sigma   slope      DL      QL\nsd-and-slope (sigma = residual SD of regression)  7.2816  5033.3490  0.0048  0.0145\nsd-and-slope (sigma = SD of y-intercept)          4.3303  5033.3490  0.0028  0.0086\nsd-and-slope (sigma = SD of 8 blanks)             3.7702  5033.3490  0.0025  0.0075\n```\n\nThe same data give QL estimates spanning 1.9×, purely from the choice of σ. Q2(R2) 3.2.3.5\ntherefore requires the limit **and the approach used to determine it** to be reported, and an\nestimated limit to be confirmed with samples at or near it. For an impurity procedure the QL must\nbe at or below the reporting threshold. Reaching for `3.3σ/slope` reflexively, reporting one number\nwith no named approach, and never confirming it are three separate findings.\n\n### 6. Bioanalytical runs under ICH M10\n\n```bash\npython3 check_bioanalytical_run.py --modality chromatographic --run run1.csv\npython3 check_bioanalytical_run.py --modality lba --isr isr.csv\npython3 check_bioanalytical_run.py --modality lba --criteria\n```\n\n`--modality` is mand","tagline":"Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, q","category":"research","tags":["agent-skill"],"author":"K-Dense-AI","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"recursive skill source sync","sourceDetail":"K-Dense-AI/scientific-agent-skills","creatorName":"K-Dense-AI","creatorUrl":"https://github.com/K-Dense-AI","sourceUrl":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals."},"stats":{"stars":33974,"forks":3307,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":54.97},"quality":{"score":92,"tier":"excellent","label":"Excellent","summary":"High-confidence pick with strong adoption and healthy maintenance signals.","signals":[{"label":"GitHub stars","value":"34K","tone":"positive"},{"label":"Freshness","value":"2d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation."]},"trust":{"version":"trust-score-v5","score":67,"base_score":75,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. 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issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":48,"weight":0.07,"status":"warn","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"34K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"34K stars, 3.3K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"12 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"34K GitHub stars","repoActivity":"34K stars, 3.3K forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","install":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet","agentProvenScore":0,"outcomeConfidence":"0%","installPolicy":"human_review_before_install"},"installReadiness":{"ready":true,"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2d since push","Financial domain: human review is required before use in a live investment workflow.","Trust Score v5 requires review or sandbox-only use before install."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Compare alternatives before installing."},"outcome_loop":{"version":"openagentskill-agent-outcome-v3","required_after_install":true,"endpoint":"/api/agent/outcome","method":"POST","event_id_source":"feedback.event_id, install_receipt.resolve_event_id, or decision_packet.outcome_feedback.event_id","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"required_fields":["event_id","skill_slug","task"],"quality_fields":["task_success","output_quality","error_type","human_review_required","used_in_production","workspace","evidence_url","time_to_useful_ms"],"ranking_inputs_updated":["Trust Score v5 outcome confidence","Agent Proven Score","Resolve ranking task-fit evidence","Skill detail machine-readable metadata","Outcome leaderboard"]},"agent_contract":{"suited_tasks":["research","agent-skill"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"install_command":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","trust_score":67,"trust_version":"trust-score-v5","risk_level":"medium","do_not_use_when":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"before_install":["Read the audit page and machine-readable metadata.","Confirm the install command, license, and permission surface fit the workspace.","Get explicit human approval or choose an alternative before installing."],"after_run":["Report the outcome to /api/agent/outcome using the resolve event id.","Include output_quality, workspace, human_review_required, and evidence_url when available.","Re-resolve before broad production rollout."]},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":75,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v4":{"version":"trust-score-v4","score":75,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout.","recommendedAction":"Test in a sandbox workflow and compare its install path with close alternatives.","dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":100,"weight":0.13,"status":"pass","detail":"34K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":97,"weight":0.08,"status":"pass","detail":"34K stars, 3.3K forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"2d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":86,"weight":0.14,"status":"pass","detail":"Metadata includes enough usage and workflow context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":72,"weight":0.12,"status":"info","detail":"command execution surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation"},{"id":"install_safety","label":"Install command safety","score":92,"weight":0.1,"status":"pass","detail":"standard package or runtime install path"},{"id":"permission_surface","label":"Permission surface","score":48,"weight":0.07,"status":"warn","detail":"shell or command execution, filesystem or document access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation"},{"id":"review_status","label":"Review status","score":66,"weight":0.05,"status":"info","detail":"AI review data available"},{"id":"agent_outcomes","label":"Agent Proven outcomes","score":54,"weight":0.13,"status":"info","detail":"No agent outcome data yet"}],"checks":[{"status":"pass","label":"GitHub adoption","detail":"34K GitHub stars"},{"status":"pass","label":"Stars/forks activity","detail":"34K stars, 3.3K forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"2d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"pass","label":"README/SKILL.md completeness","detail":"Metadata includes enough usage and workflow context"},{"status":"info","label":"Dependency/runtime risk","detail":"command execution surface"},{"status":"pass","label":"Install availability","detail":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"shell or command execution, filesystem or document access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation"},{"status":"info","label":"Review status","detail":"AI review data available"},{"status":"info","label":"Agent Proven outcomes","detail":"No agent outcome data yet"},{"status":"warn","label":"Ownership","detail":"No approved owner claim yet"},{"status":"pass","label":"OpenAgentSkill usage","detail":"12 views, 0 install copies"},{"status":"info","label":"Agent outcomes","detail":"No agent outcome data yet"}],"strengths":["AI review approved","Install path is available","Repository evidence is available","Recently maintained repository","Large GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"],"evidence":{"stars":"34K GitHub stars","repoActivity":"34K stars, 3.3K forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","install":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","policy":"human_review_before_install","label":"Human review before install","notes":["Install path is available","Repository evidence is available","License is declared","No Agent Proven outcome evidence yet","2d since push","Financial domain: human review is required before use in a live investment workflow."]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"outcomeEvidence":{"total":0,"successes":0,"failures":0,"notRelevant":0,"successRate":null,"installAttempts":0,"riskBlocked":0,"setupRequired":0,"installSuccessRate":null,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"recentSuccessRate":null,"recentFailureRate":null,"uniqueAgents":0,"agentProvenScore":0,"agentProvenLabel":"Needs first agent run","lastOutcomeAt":null,"label":"No agent outcome data yet"},"autoInstall":{"allowed":false,"sandboxRequired":true,"policy":"human_review_before_install","reason":"Human review or sandbox validation is required before automatic installation."},"bestFor":["research","agent-skill"],"doNotUseFor":["Production credentials, payments, or irreversible account changes without explicit human review","Sensitive private data before reviewing repository code, license, and permission surface","Automatic installation in a production workspace","Autonomous investment, trading, tax, or suitability decisions without a qualified human review"],"knownRisks":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"outcome_stats":null,"safety":{"score":57,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","summary":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","auto_install_policy":"review","reasons":["High-risk permission hints: Shell or command execution","57/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"id":"shell","label":"Shell or command execution","reason":"Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.","severity":"high"},{"id":"network","label":"Network access","reason":"Skill likely fetches remote pages, APIs, repositories, or external services.","severity":"medium"},{"id":"filesystem","label":"Filesystem access","reason":"Skill may read or write project files, documents, generated artifacts, or local workspace state.","severity":"medium"}],"policy_warnings":["High-risk permission hints: Shell or command execution","Permission surface may require sandboxing"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"experimental","label":"Experimental","badge":"EXPERIMENTAL","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","reasons":["High-risk permission hints: Shell or command execution","57/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":79,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Permission surface: shell or command execution, filesystem or document access","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Permission surface: shell or command execution, filesystem or document access"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","The skill depends on legally obtained copies of paywalled standards; this is correctly handled but requires human access to those documents for full implementation.","No explicit 'do not execute arbitrary shell commands' guardrail is stated in SKILL.md, though the skill description and scripts appear constrained to safe, standard-library-only operations.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access"],"validation_plan":["Inspect repository, README/SKILL.md, license, and recent commits before production use.","Install in an isolated workspace or sandbox with no production secrets available.","Run the smallest representative task and record files touched, commands run, network access, and outputs.","Compare the selected skill against at least one alternative when the eval status is review or failed.","Promote only after the agent reports a successful verification result and unresolved warnings are accepted."],"checks":[{"id":"task_fit","label":"Task fit","status":"pass","score":94,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate analytical-method-validation before installing it in an agent workflow","research","Research agents workflows; Claude Code teams; teams that value GitHub adoption signals"]},{"id":"install_path","label":"Install path","status":"pass","score":92,"required_for_auto_install":true,"detail":"Install handoff is available.","evidence":["npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation"]},{"id":"install_safety","label":"Install command safety","status":"pass","score":92,"required_for_auto_install":true,"detail":"standard package or runtime install path","evidence":["npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation"]},{"id":"trust_score","label":"Trust score","status":"warn","score":75,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","34K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":85,"required_for_auto_install":true,"detail":"Needs review","evidence":["Permission surface may require sandboxing"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"warn","score":57,"required_for_auto_install":true,"detail":"Sparse or mixed signals. Useful for discovery, but not for autonomous installation.","evidence":["Test manually in an isolated workspace and compare against safer alternatives.","High-risk permission hints: Shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"pass","score":86,"required_for_auto_install":false,"detail":"Metadata includes enough usage and workflow context","evidence":["Strong README/SKILL.md context"]},{"id":"license_clarity","label":"License clarity","status":"pass","score":86,"required_for_auto_install":true,"detail":"MIT","evidence":["MIT"]},{"id":"recent_maintenance","label":"Recent maintenance","status":"pass","score":100,"required_for_auto_install":false,"detail":"2d since push","evidence":["2d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":48,"required_for_auto_install":true,"detail":"shell or command execution, filesystem or document access","evidence":["Shell or command execution: high","Network access: medium","Filesystem access: medium"]},{"id":"alternatives","label":"Alternatives available","status":"info","score":55,"required_for_auto_install":false,"detail":"No close alternatives were found in the current shortlist.","evidence":[]}],"endpoints":{"web":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation/evals","api":"/api/agent/evals?slug=k-dense-ai-analytical-method-validation","text":"/api/agent/evals?slug=k-dense-ai-analytical-method-validation&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"k-dense-ai-analytical-method-validation","name":"analytical-method-validation","description":"Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works.","category":"research","url":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","github_repo":"K-Dense-AI/scientific-agent-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install k-dense-ai-analytical-method-validation"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"analytical-method-validation\" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"analytical-method-validation\" as a Claude Code skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"analytical-method-validation\" from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/k-dense-ai-analytical-method-validation/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-analytical-method-validation"},"trust":{"score":75,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"34K GitHub stars","repoActivity":"34K stars, 3.3K forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","install":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":85,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","The skill depends on legally obtained copies of paywalled standards; this is correctly handled but requires human access to those documents for full implementation.","No explicit 'do not execute arbitrary shell commands' guardrail is stated in SKILL.md, though the skill description and scripts appear constrained to safe, standard-library-only operations.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":92,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"2d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","The skill depends on legally obtained copies of paywalled standards; this is correctly handled but requires human access to those documents for full implementation.","No explicit 'do not execute arbitrary shell commands' guardrail is stated in SKILL.md, though the skill description and scripts appear constrained to safe, standard-library-only operations."],"agent_contract":{"task_input":"Use analytical-method-validation in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 75/100 Strong shortlist","Audit: 85/100 Needs review","Safety: 57/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"k-dense-ai-analytical-method-validation (analytical-method-validation)","install_command":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"k-dense-ai-analytical-method-validation","task":"Use analytical-method-validation in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation","api":"https://www.openagentskill.com/api/agent/skills/k-dense-ai-analytical-method-validation","audit":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=k-dense-ai-analytical-method-validation&task=Use%20analytical-method-validation%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20analytical-method-validation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20analytical-method-validation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/k-dense-ai-analytical-method-validation/install","manifest":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-analytical-method-validation"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"k-dense-ai-analytical-method-validation","name":"analytical-method-validation","description":"Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works.","category":"research","url":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","github_repo":"K-Dense-AI/scientific-agent-skills"},"suited_tasks":["Research agents workflows","Claude Code teams","teams that value GitHub adoption signals","Search sources","Extract claims","Synthesize findings","Inspect source files","Explain architecture"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install k-dense-ai-analytical-method-validation"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"analytical-method-validation\" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"analytical-method-validation\" as a Claude Code skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"analytical-method-validation\" from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."}],"handoff_url":"https://www.openagentskill.com/api/skills/k-dense-ai-analytical-method-validation/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-analytical-method-validation"},"trust":{"score":75,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"34K GitHub stars","repoActivity":"34K stars, 3.3K forks","lastPushed":"2d since push","license":"MIT","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","install":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","installSafety":"standard package or runtime install path","permissionSurface":"shell or command execution, filesystem or document access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"outcome_evidence":{"total":0,"successes":0,"failures":0,"not_relevant":0,"success_rate":null,"recent_success_rate":null,"recent_failure_rate":null,"install_attempts":0,"install_success_rate":null,"risk_blocked":0,"setup_required":0,"avg_output_quality":null,"production_outcomes":0,"last_outcome_at":null,"label":"No agent outcome data yet"},"auto_install":{"allowed":false,"sandbox_required":true,"reason":"Human review or sandbox validation is required before automatic installation."},"best_for":["research","agent-skill"],"known_risks":["SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"agent_proven":{"version":"agent-proven-v1","score":0,"tier":"unproven","label":"Needs first agent run","summary":"No agent outcome reports yet. Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":85,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","The skill depends on legally obtained copies of paywalled standards; this is correctly handled but requires human access to those documents for full implementation.","No explicit 'do not execute arbitrary shell commands' guardrail is stated in SKILL.md, though the skill description and scripts appear constrained to safe, standard-library-only operations.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access"]},"safety_gate":{"tier":"experimental","label":"Experimental","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Test manually in an isolated workspace and compare against safer alternatives."},"quality":{"score":92,"label":"Excellent"},"supply":{"track":"Research and knowledge work","scenario":"Research agents","maintenance":"2d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","production agents without a repository review","SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","High-risk permission hints: Shell or command execution","Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","The skill depends on legally obtained copies of paywalled standards; this is correctly handled but requires human access to those documents for full implementation.","No explicit 'do not execute arbitrary shell commands' guardrail is stated in SKILL.md, though the skill description and scripts appear constrained to safe, standard-library-only operations."],"agent_contract":{"task_input":"Use analytical-method-validation in an agent workflow","recommended_action":"Test manually in an isolated workspace and compare against safer alternatives.","install_policy":"review","minimum_review_before_use":["Trust: 75/100 Strong shortlist","Audit: 85/100 Needs review","Safety: 57/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"k-dense-ai-analytical-method-validation (analytical-method-validation)","install_command":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","risk_summary":"Needs review; Experimental; Review before production","verification_result":"Report the smallest successful task, files touched, warnings, and any missing setup."}},"outcome_feedback":{"endpoint":"https://www.openagentskill.com/api/agent/outcome","method":"POST","requires_resolve_event_id":true,"event_id_source":"Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.","expected_outcomes":["success","failed","not_relevant","blocked_by_risk","setup_required"],"payload_template":{"event_id":"<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>","skill_slug":"k-dense-ai-analytical-method-validation","task":"Use analytical-method-validation in an agent workflow","agent":"codex","outcome":"success","install_used":true,"risk_blocked":false,"setup_required":false,"task_success":true,"output_quality":4,"error_type":null,"human_review_required":false,"workspace":"sandbox","time_to_useful_ms":120000,"notes":"Report the smallest successful task, setup friction, files touched, and risk notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation","api":"https://www.openagentskill.com/api/agent/skills/k-dense-ai-analytical-method-validation","audit":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=k-dense-ai-analytical-method-validation&task=Use%20analytical-method-validation%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20analytical-method-validation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20analytical-method-validation%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/k-dense-ai-analytical-method-validation/install","manifest":"https://www.openagentskill.com/api/registry/manifest/k-dense-ai-analytical-method-validation"}},"supply_profile":{"track":{"slug":"research","label":"Research and knowledge work","shortLabel":"Research","description":"Deep research, source comparison, literature review, RAG, knowledge search, and reports."},"scenario":{"label":"Research agents","description":"I need my agent to research a topic, compare sources, and produce a concise report.","useCases":[{"slug":"research-agents","title":"Research agents"},{"slug":"coding-agents","title":"Coding agents"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":33974,"starsLabel":"34K","forks":3307,"license":"MIT","qualityScore":92,"trustScore":75,"auditScore":85},"maintenance":{"status":"fresh","label":"2d since push","daysSincePush":2,"lastPushedAt":"2026-08-20T13:03:17+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","The skill depends on legally obtained copies of paywalled standards; this is correctly handled but requires human access to those documents for full implementation.","No explicit 'do not execute arbitrary shell commands' guardrail is stated in SKILL.md, though the skill description and scripts appear constrained to safe, standard-library-only operations."]},"coverageTags":["Research","Research agents","agent-skill"]},"audit":{"audit_score":85,"risk_level":"needs_review","risk_label":"Needs review","quality_score":92,"trust_score":75,"maintenance_score":100,"security_score":77,"install_score":92,"warnings":["Permission surface may require sandboxing","Financial research output is not financial advice; require human review before any live investment decision","SKILL.md excerpt does not include the full script usage and command outcomes; the agent may not know expected outputs or error handling without additional documentation.","The skill depends on legally obtained copies of paywalled standards; this is correctly handled but requires human access to those documents for full implementation.","No explicit 'do not execute arbitrary shell commands' guardrail is stated in SKILL.md, though the skill description and scripts appear constrained to safe, standard-library-only operations.","Financial research output is not financial advice; require human review before any live investment decision.","Quality score needs review","Permission surface needs review: shell or command execution, filesystem or document access","Permission surface: shell or command execution, filesystem or document access"]},"quality_signals":{"model":"v2","star_score":31.72,"usage_score":0,"review_score":5.25,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"}],"install":"npx skills add K-Dense-AI/scientific-agent-skills --skill analytical-method-validation","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install k-dense-ai-analytical-method-validation","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"analytical-method-validation\" agent skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"analytical-method-validation\" as a Claude Code skill from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"analytical-method-validation\" from https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Plan, execute, and document validation, verification, and transfer of analytical procedures under the governing framework - ICH Q2(R2) and Q14, USP <1220>/<1225>/<1226>, ICH M10 bioanalytical, CLSI EP, or ISO/IEC 17025. Use for HPLC, LC-MS/MS, GC, CE, ICP-MS, dissolution, qNMR, qPCR, NIR, and ligand binding or cell-based assays whenever the question is whether a procedure is fit for its intended purpose. Triggers include \"method validation\", \"analytical method validation\", \"AMV\", \"validation protocol\", \"acceptance criteria\", \"linearity\", \"reportable range\", \"accuracy and precision\", \"repeatability\", \"intermediate precision\", \"recovery\", \"LOD\", \"LOQ\", \"detection limit\", \"quantitation limit\", \"specificity\", \"robustness\", \"method transfer\", \"method comparison\", \"Deming\", \"Passing-Bablok\", \"Bland-Altman\", \"equivalence testing\", \"OOS investigation\", \"ICH Q2\", \"Q2(R2)\", \"Q14\", \"USP 1225\", \"ICH M10\", \"incurred sample reanalysis\", \"ISR\", \"CLSI EP\", and any request to show that an assay works. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"k-dense-ai-analytical-method-validation\",\"task\":\"Install analytical-method-validation\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","github_repo":"K-Dense-AI/scientific-agent-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/k-dense-ai-analytical-method-validation","repository":"https://github.com/K-Dense-AI/scientific-agent-skills/tree/main/skills/analytical-method-validation","api":"/api/agent/skills/k-dense-ai-analytical-method-validation","install_api":"/api/skills/k-dense-ai-analytical-method-validation/install"},"meta":{"created_at":"2026-08-20T13:22:49.178433+00:00","updated_at":"2026-08-20T13:22:49.178433+00:00","agent_friendly":true}}