external-evidence-audit
Audit completed results from literature, database, analysis, sequence, structure, or slide capabilities, then optionally assemble an explicitly adjudicated…
Skill by HERRY423
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/herry423-external-evidence-audit
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: presentations, backend, security, research
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/external-evidence-audit
What's inside
- Skill name
external-evidence-audit- Description
- Audit completed results from literature, database, analysis, sequence, structure, or slide capabilities, then optionally assemble an explicitly adjudicated multi-source claim assessment. Passive only; never select tools, infer evidence relationships, or make the final scientific decision.
- License
- Apache-2.0
- Instructions
- 92 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (3)
- SKILL.md
- assess_ecosystem_claim.py · scripts/
- audit_external_evidence.py · scripts/
SKILL.md (first lines)
# External evidence audit Use this skill only after the host or researcher has supplied a JSON envelope for a completed external capability call. ## Boundary - Do not choose, call, retry, or schedule another plugin. - Do not infer producer authenticity from a declared plugin name. - Do not treat a content hash as a signature. - Do not convert a database record, paper, viewer observation, or successful analysis run into independent validation. - Do not assign scientific maturity; intake always starts `UNASSESSED`. - Do not infer whether an envelope supports or contradicts a claim. The host must supply one review-bound adjudication per envelope. - Do not treat `PASS` as final scientific acceptance. The named `decision_owner` remains accountable for the final decision. ## Input Create `bionexus.external-evidence-envelope.v1` with the producer identity, capability family, exact returned payload, originating request, and the family-specific source context documented in `docs/ecosystem-collaboration.md`. Audit it with: ```bash python skills/external-evidence-audit/scripts/audit_external_evidence.py envelope.json ``` Write a reusable JSON audit artifact with: ```bash python skills/external-evidence-audit/scripts/audit_external_evidence.py envelope.json --out audit.json ``` `VALID` means only that the payload hash and required declared context are internally consistent. Producer identity remains `DECLARED_NOT_AUTHENTICATED`. `INCOMPLETE` or `INVALID` must not enter the Claim–Evidence Ledger as support. ## Multi-source claim assessment After each envelope is `VALID`, create `bionexus.ecosystem-claim-packet.v1` with: - the exact envelopes; - a declared claim and explicit `claim_context` constraints; - exactly one `supports`, `contradicts`, `context`, or `depends_on` adjudication per envelope; - rationale, named adjudicator, and SHA-256 adjudication receipt for every claim-bearing edge; - a named human `decision_owner`. Then run: ```bash python skills/external-evidence-audit/scripts/assess_ecosystem_claim.py claim-packet.json --out assessment.json ``` The result contains Warrant, Audit, EvidenceCard, and Claim–Evidence Ledger artifacts. Duplicate payloads count once, declared context conflicts block all claim-bearing edges, explicit contradictory evidence yields `CONFLICTED`, and `final_decision` always remains `PENDING_HUMAN_DECISION`. ## Epistemic Lineage & Independence Graph When multiple connectors (e.g. PubMed, Consensus, bioRxiv, Open Targets, ChEMBL) return distinct payloads, the Evidence Independence Graph resolves their epistemic lineage (`origin_id`, `derived_from`, `same_study_as`, `dataset_identity`, `assay_identity`) to eliminate epistemic double counting. Derived syntheses, preprints, and secondary database mirrors are grouped into primary study clusters: ```text Raw Evidence Count = 8 Independent Origins = 2 Primary Studies = 2 Derived Syntheses = 4 Database Mirrors = 2 ``` The resulting EvidenceCard reports the exact resolution: *"8 evidence objects were retrieved through 5 connectors, but they resolve to only 2 independent primary studies."* ## Connector Profile Registry Scientific contracts for external capabilities are governed declaratively in `standards/connector-profiles/profiles/` (e.g. `enrichr.yaml`, `pubmed.yaml`, `chembl.yaml`). Each profile defines `required_context`, `default_evidence_role`, `maximum_default_claim`, `forbidden_claims`, and BNS-019 `semantic_profile`. BioNexus Core knows only the protocol and does not act as an MCP router or marketplace.
From HERRY423/BioNexus, Apache-2.0.
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Signals
- Stars
- 31
- Forks
- 4
- Open issues
- 9
- Last commit (this folder)
- Sep 6, 2026 (1 month ago)
- Last release
- Aug 18, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- Repository
- github.com/HERRY423/BioNexus
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
external-evidence-audit skill. Agent Mart. https://agentmart.dev/skills/herry423-external-evidence-audit (last updated 2026-10-24)