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external-evidence-audit

Audit completed results from literature, database, analysis, sequence, structure, or slide capabilities, then optionally assemble an explicitly adjudicated…

Skill by HERRY423

IndexedApache-2.0★ 31
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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

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About

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.

Use cases: presentations, backend, security, research

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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.

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
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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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)