{"slug":"dongshuyan-academic-humanizer","name":"academic-humanizer","description":">-","long_description":"---\nname: academic-humanizer\ndescription: >-\n  Draft, audit, or minimally revise English- or Chinese-language academic prose\n  to reduce formulaic, vacuous, mechanically repetitive, or process-leaking\n  language while preserving claims, evidence strength, logical relations,\n  manuscript-wide terminology identity, document-level pattern variation, and\n  scholarly register. Use for papers, abstracts, grants, cover letters, and\n  reviewer responses when the user asks to de-AI, humanize, audit AI-like\n  phrasing, or rewrite text without changing meaning. English is primary;\n  Chinese is supported. Not for detector evasion, policy circumvention, pure\n  translation, non-academic copy, or adding facts, citations, examples, or\n  author experiences that the source does not contain.\n---\n\n# Academic Humanizer\n\nImprove academic prose by removing observable writing defects, not by imitating\nimperfection or optimizing an authorship detector. Preserve the author's facts,\nargument, uncertainty, and disciplinary voice. This skill does not guarantee how\nany reader or detector will classify a text.\n\n## Portability\n\nThis skill is agent-agnostic. Its core behavior is defined by `SKILL.md` and\n`references/`; Python is optional and supports reproducible diagnostics.\n\n- Resolve `<skill-dir>` from the directory containing this `SKILL.md`.\n- Let `<python>` mean an available Python 3 launcher, such as `python3`, `py -3`,\n  or `python`.\n- Let `<input-file>` mean a user-authorized local text file. Quote paths that\n  contain spaces and use the host shell's path separator.\n- Do not assume a fixed skill root, home directory, shell, operating system,\n  agent name, or path separator.\n- `agents/openai.yaml` is optional interface metadata. Core behavior does not\n  depend on a particular agent runtime.\n- If Python is unavailable, skip the scripts and apply the same contracts\n  directly.\n\n## Load the operating references\n\nRead these before drafting or editing:\n\n1. [Semantic contract](references/semantic-contract.md) for claim preservation,\n   locked spans, deletion safety, and the internal claim ledger.\n2. [Terminology contract](references/terminology-contract.md) for canonical terms,\n   declared aliases, coined names, intentional distinctions, and the internal\n   terminology ledger. Always load it for multi-span or manuscript-level work.\n3. [Global pattern contract](references/global-pattern-contract.md) for the\n   local-to-document audit, distribution map, scope limits, and whole-document\n   repair. Always load it for multi-sentence work.\n4. [Academic whitelist](references/whitelist-academic.md) for protected scholarly\n   forms in both languages.\n5. [Contrast logic](references/contrast-logic.md) for false-opposition triage in\n   English and Chinese. Always load it; this is a cross-language semantic rule.\n6. Route once by the majority language of editable prose, then read exactly one:\n   [English rules](references/rules-en.md) or\n   [Chinese rules](references/rules-zh.md).\n\nRead [worked examples](references/examples.md) on first use, after changing a\nrule, or whenever fact preservation, contrast, or over-correction is uncertain.\nRead [metrics specification](references/metrics-spec.md) before running\n`scripts/metrics.py`; its output is descriptive evidence only.\n\n## Supported operations\n\n- **generate**: draft from user-supplied claims, outline, data, and sources.\n- **detect**: identify high-confidence defects without rewriting.\n- **rewrite**: minimally revise supplied prose; this is the default when the user\n  asks to de-AI or humanize text.\n- **edit**: apply the same minimal revisions to a named file.\n\nDo not create another routing tree for paper section or discipline. Methods,\nResults, Discussion, reviewer responses, and grants use the same contracts; the\nwhitelist handles legitimate register differences. Ask one direct question only\nwhen the requested genre changes what counts as acceptable and context does not\nresolve it.\n\n## Language route\n\nRoute on editable prose, excluding fenced code, formulas, block quotations, and\na trailing reference list. Use orthographic tokens: each CJK character is one\ntoken and each contiguous Latin word is one token. This keeps embedded terms such\nas `Transformer` or `ImageNet` from outweighing the Chinese sentence around them:\n\n`r = CJK tokens / (CJK tokens + Latin word tokens)`\n\n- `r >= 0.5`: Chinese branch.\n- `r < 0.5`: English branch.\n- No countable prose: stop and ask for text or an intended output language.\n\nEnglish terms in Chinese prose and Chinese terms in English prose remain\nverbatim. If Python is available and the route is genuinely unclear, optionally\nrun `<python> \"<skill-dir>/scripts/metrics.py\" \"<input-file>\" --route`.\nRouting is internal and never appears in the clean artifact.\n\n## Single arbitration order\n\nEarlier rows win. References may elaborate this table but must not define a\nsecond priority order.\n\n| Priority | Constraint | Operational meaning |\n|---|---|---|\n| **C0** | Artifact boundary | Process instructions, editor narration, and tool residue never enter the artifact. C0 applies only to process-layer text; it never authorizes deletion of real content. |\n| **C1** | Semantic fidelity | Every output claim maps to the source bundle; every material source claim remains represented. No added facts, relations, examples, citations, motivations, or limitations. |\n| **C2** | Locked-span protection | Quotations, formulas, code, references, citation keys, statistical notation, proper nouns, and requested verbatim text remain unchanged. |\n| **C3** | Terminology identity | One scientific concept uses one canonical term across the editable manuscript. Preserve declared full-name/abbreviation pairs, necessary grammatical forms, and intentional distinctions; never infer identity from similarity alone. |\n| **C4** | Academic register | Preserve functional hedging, passive voice, nominalization, discourse markers, and Chinese scholarly morphology. |\n| **C5** | Argument structure | Preserve causal strength, contrast, concession, addition, chronology, scope, and paragraph-level reasoning. Surface connectives may change when the relation survives. |\n| **C6** | Document patterning | Audit recurrence, clustering, dispersion, positional regularity, sentence rhythm, and rhetorical-function saturation across the complete editable scope. A count is evidence, never a verdict. |\n| **C7** | Local style repair | Apply language-specific rules only to locally unsupported, vacuous, mechanical, or stacked defects. |\n\nExamples of conflict resolution:\n\n- A style rule suggests adding a number, mechanism, baseline, or limitation that\n  is absent from the source: C1 blocks the addition.\n- A leak and a result share one sentence: C0 removes only the process phrase;\n  C1 and C5 preserve the result and its relation to adjacent sentences.\n- A coined method name drifts across the abstract, body, and caption: C3 restores\n  the canonical term after C1 and C2 confirm that the referent and spans permit it.\n- A passive sentence is conventional in Methods: C4 blocks stylistic activation.\n- A contrast pattern is present but its two concrete claims lack surrounding\n  evidence: C1 blocks automatic deletion; mark it uncertain in diagnostic output.\n- One dash, triad, connective, or emphatic sentence has a clear function: C4-C6\n  protect it. Repeated functionless instances may activate C6 after a distribution\n  audit, while C1-C5 still constrain every repair.\n\n## Workflow\n\n### 1. Read the complete editable scope\n\nRead all supplied title, abstract, body sections, captions, tables, appendices,\nand supplementary prose before changing anything. Identify which parts are\neditable and which are evidence or protected context. Separate content\nrequirements from style/process instructions. For generation, treat only\nsupplied claims, data, citations, and explicitly marked hypotheticals as content.\n\n### 2. Lock spans and build the evidence and terminology ledgers\n\nApply the semantic and terminology contracts. Build the claim/evidence ledger\nwith source-to-output mappings and provenance status for:\n\n- numbers, units, entities, citations, datasets, methods, and study design;\n- negation, comparison direction and baseline;\n- association, causation, prediction, and attribution;\n- modality, uncertainty, limitations, population, time, and scope.\n\nThe editable draft establishes what the author currently says; it does not by\nitself prove that a cited paper, result, quotation, or factual premise exists.\nMark unsupported evidence assertions as `draft-only` and preserve or flag them\ninstead of silently treating them as verified or extending the argument from them.\n\nBuild a separate terminology ledger for scientific concepts, especially newly\ncoined methods, modules, losses, metrics, datasets, and task names. Record:\n\n- `concept_id`, `canonical_term`, and the span that defines or first formally\n  names the concept;\n- declared `allowed_forms`, including full-name/abbreviation pairs and necessary\n  grammatical or bilingual mappings;\n- `observed_variants`, `distinguish_from`, and resolution `status`.\n\nUse explicit user terminology first, then formal definitions, then the first\nunambiguous formal naming. Frequency alone never selects the canonical term.\nKeep both ledgers internal unless the user asks for an audit trail.\n\n### 3. Run the local candidate pass\n\n1. Find process leakage and tool residue.\n2. Audit terminology across the complete editable scope. Classify each apparent\n   variation as **declared form**, **same-concept drift**, **intentional\n   distinction**, **protected mention**, or **uncertain identity**.\n3. Triage contrast candidates as **protected**, **unsupported rhetorical**, or\n   **uncertain** using `contrast-logic.md`.\n4. Apply the routed language rules to identify candidates with three questions:\n   - **Load**: does the wording carry a claim or logical relation?\n   - **Support**: can each claim be traced to the source bundle?\n   - **Patterning**: is the defect mechanical, vacuous, or reinforced by other\n     signals in the same span?\n\nA lone word or sentence form is not enough to infer authorship or poor quality.\nIt can still be a local defect when it adds an unsupported claim, false relation,\nor empty evaluation. Multiple weak signals in one span form one finding, not\nseveral duplicate findings.\n\n### 4. Build the distribution map and run the global pass\n\nFor multi-sentence input, map candidates by section, paragraph, sentence,\nposition, and rhetorical function using `global-pattern-contract.md`. Inspect:\n\n- sentence-initial discourse markers and punctuation such as dashes;\n- contrast scaffolds, parallel triads, flat enumeration, and exhaustive listing;\n- repeated sentence/paragraph templates and recurring paragraph closures;\n- sentence-length sequence and rhythm within each functional section;\n- unsupported certainty, elevation, and aphoristic peak saturation.\n\nUse within-document evidence and section function; never apply a universal count\nor ratio. A distribution map supports findings only about the supplied editable\nscope; an excerpt cannot support a whole-manuscript judgment. Optional metrics\nproduce a distribution map, not an authorship or quality judgment.\n\n### 5. Classify before editing\n\nClassify each finding as **local defect**, **distributional defect**,\n**functional/protected**, or **uncertain**. A distributional defect requires both\nrepetition or positional regularity and redundant rhetorical function. Several\nvalid ablation contrasts, method steps, reported metrics, or theorem consequences\nremain protected even when their surface forms repeat.\n\n### 6. Make the smallest coherent edit\n\n- Remove process-layer text while retaining any content in the same sentence.\n- Normalize confirmed same-concept drift to the ledger's canonical term across\n  every editable occurrence, including captions and tables. Preserve declared\n  abbreviations and grammatical forms; do not replace protected mentions.\n- Keep terms sepa","tagline":">-","category":"automation","tags":["agent-skill"],"author":"dongshuyan","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github candidate review","sourceDetail":"dongshuyan/compass-skills","creatorName":"dongshuyan","creatorUrl":"https://github.com/dongshuyan","sourceUrl":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/dongshuyan-academic-humanizer#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":721,"forks":60,"verified_installs":0,"successful_runs":0,"total_outcomes":0,"rating":0,"review_count":0,"quality_score":43.41},"quality":{"score":76,"tier":"strong","label":"Strong","summary":"Solid option that is likely worth shortlisting for production workflows.","signals":[{"label":"GitHub stars","value":"721","tone":"positive"},{"label":"Freshness","value":"13d ago","tone":"positive"},{"label":"Install ready","value":"Yes","tone":"positive"},{"label":"License","value":"MIT","tone":"neutral"}],"warnings":[]},"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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execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"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":76,"weight":0.13,"status":"info","detail":"721 GitHub stars"},{"id":"repo_activity","label":"Stars/forks activity","score":71,"weight":0.08,"status":"info","detail":"721 stars, 60 forks; issue activity unavailable in current metadata"},{"id":"maintenance","label":"Recent maintenance","score":100,"weight":0.14,"status":"pass","detail":"13d since push"},{"id":"license","label":"License clarity","score":86,"weight":0.09,"status":"pass","detail":"MIT"},{"id":"documentation","label":"README/SKILL.md completeness","score":70,"weight":0.14,"status":"info","detail":"Public metadata needs stronger README/SKILL.md context"},{"id":"dependency_risk","label":"Dependency/runtime risk","score":54,"weight":0.12,"status":"warn","detail":"command execution surface, credential or environment access"},{"id":"installability","label":"Install availability","score":92,"weight":0.1,"status":"pass","detail":"npx skills add dongshuyan/compass-skills --skill academic-humanizer"},{"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":36,"weight":0.07,"status":"fail","detail":"secrets or environment access, shell or command execution"},{"id":"repository","label":"Repository evidence","score":86,"weight":0.04,"status":"pass","detail":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer"},{"id":"review_status","label":"Review status","score":88,"weight":0.05,"status":"pass","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":"info","label":"GitHub adoption","detail":"721 GitHub stars"},{"status":"info","label":"Stars/forks activity","detail":"721 stars, 60 forks; issue activity unavailable in current metadata"},{"status":"pass","label":"Recent maintenance","detail":"13d since push"},{"status":"pass","label":"License clarity","detail":"MIT"},{"status":"info","label":"README/SKILL.md completeness","detail":"Public metadata needs stronger README/SKILL.md context"},{"status":"warn","label":"Dependency/runtime risk","detail":"command execution surface, credential or environment access"},{"status":"pass","label":"Install availability","detail":"npx skills add dongshuyan/compass-skills --skill academic-humanizer"},{"status":"pass","label":"Install command safety","detail":"standard package or runtime install path"},{"status":"fail","label":"Permission surface","detail":"secrets or environment access, shell or command execution"},{"status":"pass","label":"Repository evidence","detail":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer"},{"status":"pass","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":["Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"evidence":{"stars":"721 GitHub stars","repoActivity":"721 stars, 60 forks","lastPushed":"13d since push","license":"MIT","repository":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer","install":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Usable metadata, review docs","agentOutcomes":"No agent outcome data yet"},"installReadiness":{"ready":true,"command":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","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","13d since push"]},"agentCompatibility":["Codex","Claude Code","Cursor","OpenAgentSkill CLI"],"riskSummary":{"level":"medium","label":"Review before production","notes":["Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command 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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":37,"level":"avoid_auto_install","label":"Avoid automatic install","safety_tier":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","summary":"This skill should not be selected by an agent without explicit human security review.","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","auto_install_policy":"block","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access"]},"auto_install_allowed":false,"human_review_required":true,"blocked":true,"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":"browser","label":"Browser automation","reason":"Skill may drive a browser or interact with web pages.","severity":"medium"},{"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":"secrets","label":"Secrets or environment access","reason":"Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.","severity":"high"}],"policy_warnings":["High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review"],"constraints_applied":{"max_risk":"medium","needs_install_command":true,"min_stars":0}},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","badge":"BLOCKED","auto_install_policy":"block","auto_install_allowed":false,"blocked":true,"human_review_required":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","reasons":["Metadata combines secrets access with shell or command execution","High-risk permission hints: Shell or command execution, Secrets or environment access"]},"eval":{"version":"openagentskill-skill-eval-v1","status":"failed","score":70,"risk_level":"high","decision":{"recommendation":"do_not_auto_install","reason":"Agent safety gate: This skill should not be selected by an agent without explicit human security review.","auto_install_allowed":false,"policy":"block","human_review_required":true},"blockers":["Agent safety gate: This skill should not be selected by an agent without explicit human security review.","Permission surface: secrets or environment access, shell or command execution"],"warnings":["Trust score: Good trust signals with a few areas worth checking before rollout.","Audit score: Needs review","README/SKILL.md completeness: Public metadata needs stronger README/SKILL.md context","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"],"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 academic-humanizer before installing it in an agent workflow","automation","Local desktop 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 dongshuyan/compass-skills --skill academic-humanizer"]},{"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 dongshuyan/compass-skills --skill academic-humanizer"]},{"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","721 GitHub stars","MIT"]},{"id":"audit_score","label":"Audit score","status":"warn","score":81,"required_for_auto_install":true,"detail":"Needs review","evidence":["Dependency or permission surface needs review"]},{"id":"agent_safety_gate","label":"Agent safety gate","status":"fail","score":37,"required_for_auto_install":true,"detail":"This skill should not be selected by an agent without explicit human security review.","evidence":["Do not auto-install. Inspect the source, dependencies, and permission surface first.","Metadata combines secrets access with shell or command execution"]},{"id":"readme_skillmd_completeness","label":"README/SKILL.md completeness","status":"warn","score":70,"required_for_auto_install":false,"detail":"Public metadata needs stronger README/SKILL.md context","evidence":["Usable metadata, review docs"]},{"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":"13d since push","evidence":["13d since push"]},{"id":"permission_surface","label":"Permission surface","status":"fail","score":36,"required_for_auto_install":true,"detail":"secrets or environment access, shell or command execution","evidence":["Shell or command execution: high","Browser automation: medium","Network 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/dongshuyan-academic-humanizer/evals","api":"/api/agent/evals?slug=dongshuyan-academic-humanizer","text":"/api/agent/evals?slug=dongshuyan-academic-humanizer&format=text"}},"agent_readable_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"dongshuyan-academic-humanizer","name":"academic-humanizer","description":">-","category":"automation","url":"https://www.openagentskill.com/skills/dongshuyan-academic-humanizer","repository":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer","github_repo":"dongshuyan/compass-skills"},"suited_tasks":["Local desktop workflows","Claude Code teams","teams that value GitHub adoption signals","Navigate local resources","Run repeatable desktop actions","Verify file outputs","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","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 dongshuyan-academic-humanizer"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"academic-humanizer\" agent skill from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer. 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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 \"academic-humanizer\" as a Claude Code skill from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer. 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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 \"academic-humanizer\" from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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/dongshuyan-academic-humanizer/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/dongshuyan-academic-humanizer"},"trust":{"score":75,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"721 GitHub stars","repoActivity":"721 stars, 60 forks","lastPushed":"13d since push","license":"MIT","repository":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer","install":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Usable metadata, review docs","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":["automation","agent-skill"],"known_risks":["Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":81,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":76,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"13d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use academic-humanizer in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 75/100 Strong shortlist","Audit: 81/100 Needs review","Safety: 37/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"dongshuyan-academic-humanizer (academic-humanizer)","install_command":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","risk_summary":"Needs review; Blocked for auto-install; 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":"dongshuyan-academic-humanizer","task":"Use academic-humanizer 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/dongshuyan-academic-humanizer","api":"https://www.openagentskill.com/api/agent/skills/dongshuyan-academic-humanizer","audit":"https://www.openagentskill.com/skills/dongshuyan-academic-humanizer/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=dongshuyan-academic-humanizer&task=Use%20academic-humanizer%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20academic-humanizer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20academic-humanizer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/dongshuyan-academic-humanizer/install","manifest":"https://www.openagentskill.com/api/registry/manifest/dongshuyan-academic-humanizer"}},"machine_metadata":{"version":"openagentskill-agent-metadata-v2","skill":{"slug":"dongshuyan-academic-humanizer","name":"academic-humanizer","description":">-","category":"automation","url":"https://www.openagentskill.com/skills/dongshuyan-academic-humanizer","repository":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer","github_repo":"dongshuyan/compass-skills"},"suited_tasks":["Local desktop workflows","Claude Code teams","teams that value GitHub adoption signals","Navigate local resources","Run repeatable desktop actions","Verify file outputs","Move data between tools","Transform files"],"suited_agents":["Codex","Claude Code","Cursor","OpenAgentSkill CLI","OpenAI Agents","CLI"],"install":{"command":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","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 dongshuyan-academic-humanizer"},{"id":"codex","label":"Codex","kind":"agent-prompt","value":"Install the \"academic-humanizer\" agent skill from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer. 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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 \"academic-humanizer\" as a Claude Code skill from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer. 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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 \"academic-humanizer\" from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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/dongshuyan-academic-humanizer/install","manifest_url":"https://www.openagentskill.com/api/registry/manifest/dongshuyan-academic-humanizer"},"trust":{"score":75,"label":"Strong shortlist","version":"trust-score-v4","install_policy":"human_review_before_install","evidence":{"stars":"721 GitHub stars","repoActivity":"721 stars, 60 forks","lastPushed":"13d since push","license":"MIT","repository":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer","install":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","installSafety":"standard package or runtime install path","permissionSurface":"secrets or environment access, shell or command execution","documentation":"Usable metadata, review docs","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":["automation","agent-skill"],"known_risks":["Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"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":81,"risk_level":"needs_review","risk_label":"Needs review","warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"safety_gate":{"tier":"blocked","label":"Blocked for auto-install","auto_install_policy":"block","auto_install_allowed":false,"human_review_required":true,"blocked":true,"recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first."},"quality":{"score":76,"label":"Strong"},"supply":{"track":"Research and knowledge work","scenario":"RAG and knowledge","maintenance":"13d since push","risk":"Needs review"},"alternative_skills":[],"do_not_use_when":["teams that need a vendor-supported SLA","high-compliance environments without internal security review","No OpenAgentSkill engagement data yet","High-risk permission hints: Shell or command execution, Secrets or environment access","Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution"],"agent_contract":{"task_input":"Use academic-humanizer in an agent workflow","recommended_action":"Do not auto-install. Inspect the source, dependencies, and permission surface first.","install_policy":"block","minimum_review_before_use":["Trust: 75/100 Strong shortlist","Audit: 81/100 Needs review","Safety: 37/100 Avoid automatic install","Review repository, license, install command, and permission surface before production use."],"expected_agent_output":{"selected_skill":"dongshuyan-academic-humanizer (academic-humanizer)","install_command":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","risk_summary":"Needs review; Blocked for auto-install; 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":"dongshuyan-academic-humanizer","task":"Use academic-humanizer 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/dongshuyan-academic-humanizer","api":"https://www.openagentskill.com/api/agent/skills/dongshuyan-academic-humanizer","audit":"https://www.openagentskill.com/skills/dongshuyan-academic-humanizer/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=dongshuyan-academic-humanizer&task=Use%20academic-humanizer%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20academic-humanizer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20academic-humanizer%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/dongshuyan-academic-humanizer/install","manifest":"https://www.openagentskill.com/api/registry/manifest/dongshuyan-academic-humanizer"}},"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":"local-desktop","title":"Local desktop"},{"slug":"workflow-automation","title":"Workflow automation"},{"slug":"rag-knowledge","title":"RAG and knowledge"}]},"applicableAgents":["Claude Code","OpenAI Agents","CLI","Codex","Cursor"],"install":{"ready":true,"command":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","primaryTarget":"CLI","targetCount":4},"githubQuality":{"stars":721,"starsLabel":"721","forks":60,"license":"MIT","qualityScore":76,"trustScore":75,"auditScore":81},"maintenance":{"status":"fresh","label":"13d since push","daysSincePush":13,"lastPushedAt":"2026-08-26T12:54:01+00:00"},"risk":{"level":"needs_review","label":"Needs review","requiresReview":true,"notes":["Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access"]},"coverageTags":["Research","RAG and knowledge","automation","agent-skill"]},"audit":{"audit_score":81,"risk_level":"needs_review","risk_label":"Needs review","quality_score":76,"trust_score":75,"maintenance_score":100,"security_score":79,"install_score":92,"warnings":["Dependency or permission surface needs review","Permission surface may require sandboxing","Quality score needs review","Permission surface needs review: secrets or environment access, shell or command execution","Dependency/runtime risk: command execution surface, credential or environment access","Permission surface: secrets or environment access, shell or command execution"]},"quality_signals":{"model":"v2","star_score":20.01,"usage_score":0,"review_score":5.4,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code","OpenAI Agents"],"use_cases":[{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"workflow-automation","title":"Workflow automation","url":"https://www.openagentskill.com/use-cases/workflow-automation"},{"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":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"},{"slug":"rag-knowledge-base","title":"RAG knowledge base","url":"https://www.openagentskill.com/collections/rag-knowledge-base"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"}],"install":"npx skills add dongshuyan/compass-skills --skill academic-humanizer","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 dongshuyan-academic-humanizer","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 \"academic-humanizer\" agent skill from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer. 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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 \"academic-humanizer\" as a Claude Code skill from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer. 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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 \"academic-humanizer\" from https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer 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: >- 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\":\"dongshuyan-academic-humanizer\",\"task\":\"Install academic-humanizer\",\"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/dongshuyan/compass-skills/tree/master/skills/academic-humanizer","github_repo":"dongshuyan/compass-skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/dongshuyan-academic-humanizer","repository":"https://github.com/dongshuyan/compass-skills/tree/master/skills/academic-humanizer","api":"/api/agent/skills/dongshuyan-academic-humanizer","install_api":"/api/skills/dongshuyan-academic-humanizer/install"},"meta":{"created_at":"2026-09-05T04:01:33.531563+00:00","updated_at":"2026-09-05T04:01:33.719962+00:00","agent_friendly":true}}