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CC fact-check

Fact-checks manuscript claims against their cited sources. Locates each source’s knowledge-base Markdown file and verifies that every in-text claim is supported. Runs a pre-flight gate requiring a clean per-source Markdown knowledge base, one file per cited source, with all raw PDFs converted. Then runs citation-check and audits claim support, overclaiming, direction, scope, and misattribution.

scdenney/open-science-skills Claude Code author: scdenney NOASSERTION 1 file body ≈ 3 280 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Fact-checks manuscript claims against their cited sources.

As a process C 52/100 · Has gaps — References files that are not bundled: ../research-repo/SKILL.md, scripts/convert-sources.sh

AnalyzerResearchData and analyticstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
C
52/100
Has gaps
References files that are not bundled: ../research-repo/SKILL.md, scripts/convert-sources.sh
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: ../research-repo/SKILL.md
  • warning missing-ref reference to a missing file: scripts/convert-sources.sh

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: ../research-repo/SKILL.md, scripts/convert-sources.sh
  • 0Tools and files. 2 referenced file(s) missing: ../research-repo/SKILL.md, scripts/convert-sources.sh
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 85Steps. 48 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3280 tokens
  • 100Running it twice. Mutating operations check current state
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (6 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +1No license
  • +2Single-language instructions
  • +3Description length 397: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 48 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.