verify-claims
Extract factual claims from text and verify each one using execution, source inspection, or physics reasoning.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Extract factual claims from text and verify each one using execution, source inspection, or physics reasoning.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Install the MadAgents agent system into a folder on this machine, to be run without a container. Use when the user wants MadAgents outside Apptainer — in a project folder, on a login node, or anywhere they already have MadGraph — or wants to refresh an existing install.
Find documentation problems that caused agent mistakes — gaps, inaccuracies, or ambiguities. Uses grade context to guide diagnosis.
Edit MadGraph documentation with parallel review: style, quality, and factual verification. Revises until all checks pass or max rounds reached.
Generate evaluation questions about MadGraph and related tools with verified reference answers, using web research for real-world use cases.
Get a writable copy of the MadGraph documentation.
Run one iteration of the doc improvement loop: generate or accept questions, answer them in parallel, verify, grade, diagnose, fix the docs, and re-evaluate until convergence.
| name | verify-claims |
| description | Extract factual claims from text and verify each one using execution, source inspection, or physics reasoning. |
Extract verifiable claims from a text and verify each one.
$ARGUMENTS
If a file path was given, read it. If text was given, use it directly. If nothing was given, ask the user what to verify.
If the text references user-facing written artifacts (answer files, scripts, code, reports), read those artifacts and extract claims from them too — not just from the conversational response.
Split the text into individual, self-contained factual claims. Write them to /workspace/verify/claims.json.
Rules:
Output format — a JSON array, each object with a claim key:
[
{"claim": "The MadGraph command to generate Drell-Yan at LO is: generate p p > e+ e-"},
{"claim": "The default number of events in run_card.dat is 10000"}
]
For each claim, determine whether it is correct.
You may install any software needed for verification (e.g. MadGraph5_aMC@NLO, Pythia8, Delphes).
Only the following count as evidence, and only when the result is unambiguous:
Reason very carefully about what the evidence actually proves. If the result is ambiguous, could be interpreted multiple ways, or has a loophole that does not fully rule in or rule out the claim — it is not conclusive. Investigate further. Only mark the claim as inconclusive if you are confident that verification is not possible.
The following are NOT evidence — they may help you find the correct answer, but never count as proof:
/madgraph_docs/If you delegate verification to subagents, instruct them that these same evidence rules apply. Subagents must not cite curated documentation or web sources as proof.
For each claim, record:
claim: the claim textcorrect: true, false, or null (inconclusive)method: execution, inspection, source_inspection, physics_reasoning, or nullevidence: list of raw evidence itemsexplanation: auditable justificationAfter writing results, verify:
correct is true, false, or nullmethod is null only when correct is nullexplanation is non-empty