u06740-skill-gap-diagnosis-for-scientific-publishing-pipelines
Operate the "Skill Gap Diagnosis for scientific publishing pipelines" capability in production for scientific publishing pipelines workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.
Best use case
u06740-skill-gap-diagnosis-for-scientific-publishing-pipelines is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Operate the "Skill Gap Diagnosis for scientific publishing pipelines" capability in production for scientific publishing pipelines workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.
Teams using u06740-skill-gap-diagnosis-for-scientific-publishing-pipelines should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/u06740-skill-gap-diagnosis-for-scientific-publishing-pipelines/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How u06740-skill-gap-diagnosis-for-scientific-publishing-pipelines Compares
| Feature / Agent | u06740-skill-gap-diagnosis-for-scientific-publishing-pipelines | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Operate the "Skill Gap Diagnosis for scientific publishing pipelines" capability in production for scientific publishing pipelines workflows. Use when mission execution explicitly requires this capability and outcomes must be reproducible, policy-gated, and handoff-ready.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Skill Gap Diagnosis for scientific publishing pipelines ## Why This Skill Exists This skill hardens a generated capability for production execution so scientific publishing pipelines workflows remain deterministic, auditable, and fail-closed under risk. ## When To Use Use this skill only when the request explicitly needs `Skill Gap Diagnosis for scientific publishing pipelines` in scientific publishing pipelines and a downstream consumer requires contract-bound artifacts. ## Step-by-Step Implementation Guide 1. Validate production trigger criteria: explicit capability request, approved source-tagged inputs, and named downstream consumer. 2. Enforce deterministic normalization workflow with pinned mapping/ruleset versions and stable serialization order. 3. Apply explicit determinism tolerance checks (score delta <= 0.005 absolute; identical input must produce zero artifact hash drift). 4. Execute fail-closed validation gates (schema, determinism, policy-risk) and block output on any failure. 5. Require explicit human sign-off token for high-risk runs before publication or downstream routing. 6. Emit handoff envelope with artifact paths, gate results, risk tier, and approval state for the next stage. ## Deterministic Workflow Constraints - Replay score variance: <= 0.005 absolute per item. - Artifact hash drift for identical replay: 0 allowed. - Time-dependent fields allowed only in metadata and excluded from scoring. ## Validation Gates 1. **schema-gate** — all required fields present and schema-valid; otherwise block and return error bundle. 2. **determinism-gate** — replay output within tolerance; otherwise quarantine and escalate. 3. **policy-risk-gate** — policy and risk checks pass; otherwise block routing. 4. **approval-gate-high-risk** — if risk is high, require human sign-off token; otherwise fail closed. ## Handoff Contract - Inputs: source-tagged signals, claims, evidence, confidence traces, run context. - Outputs: deterministic artifact, scorecard, and handoff envelope with approval metadata. - Routing rule: forward only when every gate passes; high-risk requires explicit sign-off token. ## Immediate Hardening Additions - Fixture: `fixtures/minimal-valid.json` - Regression case: `tests/regression-case.md` - Machine-readable summary: `hardening-summary.json`
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