{"slug":"aklofas-datasheets","name":"datasheets","description":"Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\".","long_description":"---\nname: datasheets\ndescription: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\".\n---\n\n# Datasheets Skill\n\n## Related Skills\n\n| Skill | Relationship |\n|-------|--------------|\n| `digikey` / `mouser` / `lcsc` / `element14` | **Producers** — download the PDFs under `<project>/datasheets/` that this skill extracts from |\n| `kicad` | **Primary consumer** — VM-001/PU-001/FS-001/PP-001/LR-001/XT-001 + Phase 4b lookup detectors (AM-001/OV-001/TJ-001/FT-001/EX-001) query extractions via `lookup(mpn)` for verified-IC knowledge |\n| `emc` | **Consumer** — switching-frequency, package-Rθ_JA, and operating-voltage data sharpen EMC heuristics |\n| `spice` | **Consumer** — SPICE model presence + IBIS data feed simulation-readiness checks |\n| `thermal` | **Consumer** — package Rθ_JA + junction temperature limits drive Tj estimates (TS-001..TJ-001) |\n| `bom` | **Indirect** — coverage of structured extractions affects BOM verification confidence |\n\n**Handoff guidance:** This skill is consumer infrastructure. The typical flow is `distributor skill downloads PDF → datasheets skill extracts → analyzer skill queries`. Use this skill directly when (a) the user asks to extract or verify a specific MPN, (b) an analyzer reports `trust_level: low` and the gap is per-MPN extraction quality, or (c) a new MPN was added to the BOM and downstream detectors should pick up its verified specs. Don't run this skill in isolation if the user just wants a design review — call it from the kicad workflow at the \"Sync datasheets\" step instead.\n\n## Purpose\n\nExtract structured, machine-readable specifications from component datasheet PDFs and make them available to analyzer skills. Works on whatever PDFs are downloaded under `<project>/datasheets/` (downloads are owned by distributor skills like `digikey`, `mouser`, `lcsc`, `element14`).\n\n## Scope\n\nThis skill owns:\n- **Extraction schemas** — canonical JSON structures for per-MPN specs. v1.4 ships 6 JSON Schema Draft 2020-12 schemas under `schemas/` (`base`, `pinout`, `spec_value`, `regulator`, `extraction`, `manifest`) plus 5 v1.4 category extensions (diode, transistor, opamp, mcu, crystal). v1.3 cache format (`EXTRACTION_VERSION` in `scripts/datasheet_extract_cache.py`) is still read for compat.\n- **Typed access layer (v1.4)** — `datasheet_types/` package exposes `DatasheetFacts`, `SpecValue`, `Pin`, `Pinout`, `lookup()`, `best()`, `trusted()`, `has_data()`. Recommended for all new consumers.\n- **PDF page selection** — heuristics to pick pages most likely to contain pinouts, e-chars, applications, SPICE models.\n- **Quality scoring** — v1.4 uses a three-dimension rubric (pinout completeness, base completeness, category-extension completeness, 0–100 scale). v1.3 5-dimension weighted rubric still applies to legacy caches.\n- **Consumer APIs** — `scripts/datasheet_lookup.py` for v1.4 typed access; `scripts/datasheet_features.py` for the v1.3 dict-shaped helpers (`get_regulator_features`, `get_mcu_features`, `get_pin_function`) — the v1.3 helpers dual-read v1.4 caches and translate to v1.3 dict shape for legacy detector code. Sunset planned for v1.6.\n- **Verification** — `datasheet_verify.py` (v1.3, schema-vs-usage cross-check) plus `datasheet_verify_v14_extraction` (v1.4, power_domain references resolve, recommended ≤ absolute, regulator pin references exist).\n\n## Non-goals\n\n- **No PDF downloading.** That is owned by distributor skills (`digikey`, `mouser`, `lcsc`, `element14`).\n- **No global library.** Each project's extractions live in `<project>/datasheets/extracted/`. There is no shared cross-project cache.\n\n## Cache location\n\n```\n<project>/\n  design.kicad_sch\n  datasheets/\n    TPS61023DRLR.pdf        # downloaded by distributor skills\n    extracted/\n      manifest.json         # extraction manifest (legacy name: index.json)\n      TPS61023DRLR.json     # structured extraction (this skill's output)\n```\n\n## Reference guides\n\n- `references/extraction-schema.md` — canonical schema, every field defined\n- `references/field-extraction-guide.md` — how to find each field in datasheets from common vendors (TI, ST, NXP, Espressif, Microchip)\n- `references/quality-scoring.md` — rubric details, score thresholds\n- `references/consumer-api.md` — how kicad/emc/spice/thermal consume extractions\n- `references/cache-layout.md` — v1.4 cache directory convention (per-MPN files, `_families/` reservation, staleness rules)\n\n## Entry-point scripts\n\n- `scripts/datasheet_extract_cache.py` — v1.3 cache manager, resolver, indexer\n- `scripts/datasheet_page_selector.py` — page selection heuristics (used by both v1.3 and v1.4 pipelines)\n- `scripts/datasheet_score.py` — v1.3 extraction quality scoring\n- `scripts/datasheet_verify.py` — cross-check extraction vs schematic usage (v1.3 + v1.4 `verify_v14_extraction` mode)\n- `scripts/datasheet_lookup.py` — **v1.4** typed `lookup(mpn) → DatasheetFacts` facade with staleness detection\n- `scripts/datasheet_features.py` — v1.3 consumer helper API (dual-reads v1.4 caches via `_derive_*_v14` translators)\n- `scripts/plan_extraction.py` — **v1.4** orchestration plan generator (Phase 3 extraction pipeline)\n- `scripts/merge_results.py` — **v1.4** per-task result validator + merger\n- `datasheet_types/` — **v1.4** typed access layer package (`DatasheetFacts`, `SpecValue`, `Pin`, `Pinout`, `lookup`, `best`, `trusted`, `has_data`)\n\n## Extraction workflow\n\nRun `python3 skills/datasheets/scripts/plan_extraction.py <project>` to generate an orchestration plan, then `merge_results.py` to validate and merge per-task outputs. Full scout→plan→dispatch→merge procedure: [`references/extraction-pipeline.md`](references/extraction-pipeline.md).\n\n## Consuming extractions (v1.4 typed API)\n\nThe recommended consumer surface is the typed `lookup(mpn, cache_dir=...)` facade plus the trust-gating helpers from `datasheet_types`. Import like:\n\n```python\nimport sys, pathlib\nsys.path.insert(0, str(pathlib.Path(__file__).parent.parent / \"datasheets\"))\nfrom datasheet_types import lookup, has_data, best, trusted\n\n# Returns Optional[DatasheetFacts]. None on cache miss / stale PDF / low quality.\nfacts = lookup(\"TPS61023DRLR\", cache_dir=pathlib.Path(\"datasheets/extracted\"))\nif facts is None:\n    return  # heuristic-only path; no datasheet evidence available\n\n# Field-level trust gating — every SpecValue list runs through has_data() / best() / trusted().\npu_range = facts.base.recommended_pullup_range  # Optional[list[SpecValue]]\nif has_data(pu_range):\n    # Most-trusted single value (first SpecValue meeting threshold, preserves extractor order).\n    rec = best(pu_range, min_confidence=\"medium\")  # Optional[SpecValue]\n    if rec is not None and rec.min is not None:\n        ...  # use rec.min, rec.max, rec.typ, rec.unit, rec.evidence.{page,section,confidence}\n\n# All SpecValues at threshold (for multi-value fields like absolute_max).\nhi_conf = trusted(facts.base.absolute_max.get(\"VDD\", []), min_confidence=\"high\")\n```\n\n**Defensive patterns** (mirrors `kicad/SKILL.md` § \"Probing Analyzer JSON\"):\n\n- `lookup()` returns `None` on cache miss, stale PDF (PDF newer than extraction), or quality score below the configured floor. Always guard with `if facts is None: return`.\n- Category extensions are optional on `DatasheetFacts`. `facts.regulator` is `None` when the part isn't in the `regulator` category — check before dereferencing.\n- SpecValue lists can be `None` (field not extracted), `[]` (extracted but empty), or `list[SpecValue]`. `has_data()` collapses the first two to `False`; pair with `best()` / `trusted()` for confidence gating.\n- `SpecValue.min` / `.max` / `.typ` are each `Optional[float]`. A SpecValue carrying only `typ` (no range) makes `>` / `<` comparisons against `.min` / `.max` raise `TypeError` — guard with explicit `is not None` chains on every numeric access.\n- `confidence` is one of `\"low\"` / `\"medium\"` / `\"high\"`. Calling `best()` / `trusted()` with any other string raises `ValueError`.\n\n## v1.3 compat shim\n\nLegacy detectors still call `get_regulator_features(mpn)` / `get_mcu_features(mpn)` / `get_pin_function(mpn, pin)` from `scripts/datasheet_features.py`. These dual-read v1.4 caches and translate to the v1.3 dict shape. Sunset planned for v1.6 — new code should use `lookup()` directly.\n\n## When to trigger this skill\n\n- **Immediately after downloading datasheets** via `sync_datasheets_digikey.py`, `sync_datasheets_lcsc.py`, or equivalent. Without extraction, IC-aware checks (VM-001 rail voltage, PS-001 power-good, PR-004 USB, DP-002 USB speed classification) fall back to heuristics on unknown ICs.\n- **Before running analyzers on a new project** where datasheets are present but `datasheets/extracted/` is empty — the analyzers won't produce the extractions themselves.\n- **When a review flags low trust level** due to missing manufacturer evidence: extracting the ICs referenced by power regulators, MCUs, and high-speed peripherals typically flips `trust_level: low` → `mixed` or `high`.\n- **When a user asks for pin verification** (\"verify U1 pin names match datasheet\") — this skill's cached extraction is the authoritative source.\n","tagline":"Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`,","category":"research","tags":["agent-skill"],"author":"aklofas","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"aklofas/kicad-happy","creatorName":"aklofas","creatorUrl":"https://github.com/aklofas","sourceUrl":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/aklofas-datasheets#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":1099,"forks":94,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":44.39},"quality":{"score":77,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"1.1K","tone":"positive"},{"label":"Freshness","value":"4d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":["SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files."]},"trust":{"version":"trust-score-v5","score":71,"base_score":79,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["71/100 Trust Score v5","79/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","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"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"weight":0.13,"status":"pass","detail":"1.1K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":77,"weight":0.08,"status":"info","detail":"1.1K stars, 94 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"4d 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":82,"weight":0.12,"status":"pass","detail":"network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add aklofas/kicad-happy --skill datasheets"},{"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":60,"weight":0.07,"status":"warn","detail":"filesystem or document access, network or browser access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets"},{"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":"1.1K GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"1.1K stars, 94 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"4d 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":"pass","label":"Dependency/runtime risk","detail":"network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add aklofas/kicad-happy --skill datasheets"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"filesystem or document access, network or browser access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets"},{"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":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"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","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"1.1K GitHub stars","repoActivity":"1.1K stars, 94 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","install":"npx skills add aklofas/kicad-happy --skill datasheets","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser 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 aklofas/kicad-happy --skill datasheets","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","4d since push","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 does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser 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-v4","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","source_version"],"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 aklofas/kicad-happy --skill datasheets","trust_score":71,"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"],"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"],"knownRisks":["SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":79,"tier":"strong","label":"Strong shortlist","summary":"Good trust signals with a few areas worth checking before rollout."}}},"trust_score_v5":{"version":"trust-score-v5","score":71,"base_score":79,"outcome_confidence":0,"tier":"review","label":"Sandbox only","summary":"Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.","recommendedAction":"Run only in a sandbox and compare close alternatives before using it for real work.","decision":{"install_policy":"human_review_before_install","auto_install_allowed":false,"human_review_required":true,"sandbox_first":true,"agent_action":"Compare alternatives before installing.","reasoning":["71/100 Trust Score v5","79/100 Trust Score v4 baseline","Needs more real agent outcomes before unattended install","Install path is available","Review before production"],"review_required_when":["The workspace contains production secrets, payments, private customer data, or irreversible actions.","The install command requests shell, network, credential, database, or broad filesystem access.","Outcome evidence is missing, recently failed, or required human review.","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"]},"dimensions":[{"id":"github_adoption","label":"GitHub adoption","score":86,"weight":0.13,"status":"pass","detail":"1.1K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":77,"weight":0.08,"status":"info","detail":"1.1K stars, 94 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"4d 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":82,"weight":0.12,"status":"pass","detail":"network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add aklofas/kicad-happy --skill datasheets"},{"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":60,"weight":0.07,"status":"warn","detail":"filesystem or document access, network or browser access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets"},{"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":"1.1K GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"1.1K stars, 94 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"4d 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":"pass","label":"Dependency/runtime risk","detail":"network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add aklofas/kicad-happy --skill datasheets"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"filesystem or document access, network or browser access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets"},{"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":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"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","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern","Outcome loop is ready but needs first real agent run"],"warnings":["SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access","No real agent outcome reports yet","Human review required before unattended installation"],"evidence":{"stars":"1.1K GitHub stars","repoActivity":"1.1K stars, 94 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","install":"npx skills add aklofas/kicad-happy --skill datasheets","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser 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 aklofas/kicad-happy --skill datasheets","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","4d since push","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 does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser 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-v4","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","source_version"],"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 aklofas/kicad-happy --skill datasheets","trust_score":71,"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"],"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"],"knownRisks":["SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"],"backward_compatible":{"trust_score_v4":{"version":"trust-score-v4","score":79,"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":79,"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":86,"weight":0.13,"status":"pass","detail":"1.1K GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":77,"weight":0.08,"status":"info","detail":"1.1K stars, 94 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"4d 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":82,"weight":0.12,"status":"pass","detail":"network or browser surface"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add aklofas/kicad-happy --skill datasheets"},{"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":60,"weight":0.07,"status":"warn","detail":"filesystem or document access, network or browser access"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets"},{"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":"1.1K GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"1.1K stars, 94 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"4d 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":"pass","label":"Dependency/runtime risk","detail":"network or browser surface"},{"status":"pass","label":"Install availability","detail":"npx skills add aklofas/kicad-happy --skill datasheets"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"warn","label":"Permission surface","detail":"filesystem or document access, network or browser access"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets"},{"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":"info","label":"OpenAgentSkill usage","detail":"No local usage activity yet"},{"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","Meaningful GitHub adoption signal","Install command has no obvious high-risk pattern"],"warnings":["SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"],"evidence":{"stars":"1.1K GitHub stars","repoActivity":"1.1K stars, 94 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","install":"npx skills add aklofas/kicad-happy --skill datasheets","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser access","documentation":"Strong README/SKILL.md context","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add aklofas/kicad-happy --skill datasheets","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","4d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser 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"],"knownRisks":["SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser 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":63,"level":"review_before_install","label":"Review before install","safety_tier":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","summary":"Usable candidate, but the agent should surface permission and audit notes before installation.","recommended_action":"Require human approval before installing into a real workspace.","auto_install_policy":"review","reasons":["Permission surface may require sandboxing","63/100 agent safety score"]},"auto_install_allowed":false,"human_review_required":true,"blocked":false,"audit_risk":"needs_review","permission_hints":[{"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"},{"id":"database","label":"Database access","reason":"Skill may inspect schemas, query databases, or work with persistent stores.","severity":"medium"}],"policy_warnings":["Permission surface may require sandboxing"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","badge":"REVIEWED","auto_install_policy":"review","auto_install_allowed":false,"blocked":false,"human_review_required":true,"recommended_action":"Require human approval before installing into a real workspace.","reasons":["Permission surface may require sandboxing","63/100 agent safety score"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"review","score":77,"risk_level":"medium","decision":{"recommendation":"manual_review","reason":"Require human approval before installing into a real workspace.","auto_install_allowed":false,"policy":"review","human_review_required":true},"blockers":[],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","Agent safety gate: Usable candidate, but the agent should surface permission and audit notes before installation.","Permission surface: filesystem or document access, network or browser access","Permission surface may require sandboxing","SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser 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":84,"required_for_auto_install":true,"detail":"Task wording matches this skill metadata.","evidence":["Evaluate datasheets before installing it in an agent workflow","research","RAG and knowledge 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 aklofas/kicad-happy --skill datasheets"]},{"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 aklofas/kicad-happy --skill datasheets"]},{"id":"trust_score","label":"Trust score","status":"warn","score":79,"required_for_auto_install":true,"detail":"Good trust signals with a few areas worth checking before rollout.","evidence":["Strong shortlist","1.1K GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":83,"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":63,"required_for_auto_install":true,"detail":"Usable candidate, but the agent should surface permission and audit notes before installation.","evidence":["Require human approval before installing into a real workspace.","Permission surface may require sandboxing"]},{"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":"4d since push","evidence":["4d since push"]},{"id":"permission_surface","label":"Permission surface","status":"warn","score":60,"required_for_auto_install":true,"detail":"filesystem or document access, network or browser access","evidence":["Network access: medium","Filesystem access: medium","Database 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/aklofas-datasheets/evals","api":"/api/agent/evals?slug=aklofas-datasheets","text":"/api/agent/evals?slug=aklofas-datasheets&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"aklofas-datasheets","name":"datasheets","description":"Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\".","category":"research","url":"https://www.openagentskill.com/skills/aklofas-datasheets","repository":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","github_repo":"aklofas/kicad-happy"},"suited_tasks":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add aklofas/kicad-happy --skill datasheets","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add aklofas-datasheets"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"datasheets\" agent skill from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets. 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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 \"datasheets\" as a Claude Code skill from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets. 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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 \"datasheets\" from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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/aklofas-datasheets/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/aklofas-datasheets"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"1.1K GitHub stars","repoActivity":"1.1K stars, 94 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","install":"npx skills add aklofas/kicad-happy --skill datasheets","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser 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 does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser 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":83,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":77,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"4d 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 does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","No OpenAgentSkill engagement data yet","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"],"agent_contract":{"task_input":"Use datasheets in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 83/100 Needs review","Safety: 63/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"aklofas-datasheets (datasheets)","install_command":"npx skills add aklofas/kicad-happy --skill datasheets","risk_summary":"Needs review; Reviewed with permission notes; 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":"aklofas-datasheets","task":"Use datasheets 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/aklofas-datasheets","api":"https://www.openagentskill.com/api/agent/skills/aklofas-datasheets","audit":"https://www.openagentskill.com/skills/aklofas-datasheets/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aklofas-datasheets&task=Use%20datasheets%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20datasheets%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20datasheets%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aklofas-datasheets/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aklofas-datasheets"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"aklofas-datasheets","name":"datasheets","description":"Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\".","category":"research","url":"https://www.openagentskill.com/skills/aklofas-datasheets","repository":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","github_repo":"aklofas/kicad-happy"},"suited_tasks":["RAG and knowledge workflows","Claude Code teams","teams that value GitHub adoption signals","Chunk documents","Create embeddings","Retrieve and cite relevant passages","Search sources","Extract claims"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","CLI"],"install":{"command":"npx skills add aklofas/kicad-happy --skill datasheets","ready":true,"targets":[{"id":"openagentskill-cli","label":"CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add aklofas-datasheets"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"datasheets\" agent skill from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets. 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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 \"datasheets\" as a Claude Code skill from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets. 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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 \"datasheets\" from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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/aklofas-datasheets/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/aklofas-datasheets"},"trust":{"score":79,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"1.1K GitHub stars","repoActivity":"1.1K stars, 94 forks","lastPushed":"4d since push","license":"MIT","repository":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","install":"npx skills add aklofas/kicad-happy --skill datasheets","installSafety":"standard package or runtime install path","permissionSurface":"filesystem or document access, network or browser 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 does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser 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":83,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Permission surface may require sandboxing","SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":77,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"4d 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 does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","No OpenAgentSkill engagement data yet","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"],"agent_contract":{"task_input":"Use datasheets in an agent workflow","recommended_action":"Require human approval before installing into a real workspace.","install_policy":"review","minimum_review_before_use":["Trust: 79/100 Strong shortlist","Audit: 83/100 Needs review","Safety: 63/100 Review before install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"aklofas-datasheets (datasheets)","install_command":"npx skills add aklofas/kicad-happy --skill datasheets","risk_summary":"Needs review; Reviewed with permission notes; 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":"aklofas-datasheets","task":"Use datasheets 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/aklofas-datasheets","api":"https://www.openagentskill.com/api/agent/skills/aklofas-datasheets","audit":"https://www.openagentskill.com/skills/aklofas-datasheets/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=aklofas-datasheets&task=Use%20datasheets%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20datasheets%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20datasheets%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/aklofas-datasheets/install","manifest":"https://www.openagentskill.com/api/registry/manifest/aklofas-datasheets"}},"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":"RAG and knowledge","description":"I need my agent to build a RAG workflow over documents and retrieve reliable context.","useCases":[{"slug":"rag-knowledge","title":"RAG and knowledge"},{"slug":"research-agents","title":"Research agents"},{"slug":"workflow-automation","title":"Workflow automation"}]},"applicableAgents":["Claude Code","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add aklofas/kicad-happy --skill datasheets","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":1099,"starsLabel":"1.1K","forks":94,"license":"MIT","qualityScore":77,"trustScore":79,"auditScore":83},"maintenance":{"status":"fresh","label":"4d since push","daysSincePush":4,"lastPushedAt":"2026-09-01T18:10:53+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Permission surface may require sandboxing","SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"]},"coverageTags":["Research","RAG and knowledge","agent-skill"]},"audit":{"audit_score":83,"risk_level":"needs_review","risk_label":"Needs review","quality_score":77,"trust_score":79,"maintenance_score":100,"security_score":80,"install_score":92,"warnings":["Permission surface may require sandboxing","SKILL.md does not explicitly instruct the model to treat datasheet PDF content as untrusted data. A maliciously crafted PDF could contain text that resembles instructions, which is a hardening gap for an extraction skill that parses external files.","Quality score needs review","Permission surface needs review: filesystem or document access, network or browser access","Permission surface: filesystem or document access, network or browser access"]},"quality_signals":{"model":"v2","star_score":21.29,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"rag-knowledge","title":"RAG and knowledge","url":"https://www.openagentskill.com/use-cases/rag-knowledge"},{"slug":"research-agents","title":"Research agents","url":"https://www.openagentskill.com/use-cases/research-agents"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"}],"stacks":[{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"research-report-agent","title":"Research report agent","url":"https://www.openagentskill.com/collections/research-report-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add aklofas/kicad-happy --skill datasheets","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add aklofas-datasheets","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 \"datasheets\" agent skill from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets. 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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 \"datasheets\" as a Claude Code skill from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets. 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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 \"datasheets\" from https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets 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: Extract structured specifications from electronic component datasheet PDFs — pinouts, electrical characteristics, peripherals, topology, and features. Cache extractions per project for consumption by schematic and PCB analyzers. Primary consumer infrastructure for `kicad`, `emc`, `spice`, and `thermal` analyzers. Use this skill whenever the user asks to extract, verify, or read specs from a component datasheet; when analyzers need verified IC knowledge (EN pin thresholds, PG presence, USB peripheral speed); or when a review mentions datasheet coverage, extraction quality, or per-MPN specifications. Also triggers on \"extract this datasheet\", \"what are the specs for MPN X\", \"verify datasheet extraction\", or \"check pin functions for part Y\". 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\":\"aklofas-datasheets\",\"task\":\"Install datasheets\",\"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/aklofas/kicad-happy/tree/main/skills/datasheets","github_repo":"aklofas/kicad-happy","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/aklofas-datasheets","repository":"https://github.com/aklofas/kicad-happy/tree/main/skills/datasheets","api":"/api/agent/skills/aklofas-datasheets","install_api":"/api/skills/aklofas-datasheets/install"},"meta":{"created_at":"2026-09-04T17:26:00.818964+00:00","updated_at":"2026-09-04T17:26:00.970625+00:00","agent_friendly":true}}