Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/madgraphteam/madagents/claim-extractorgit clone --depth 1 https://github.com/MadGraphTeam/MadAgentsWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00022 | $0.00377 |
| Opus 5 | $0.00011 | $0.00188 |
| Sonnet 5 | $0.00004 | $0.00075 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
claim-extractor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Claim Extractor
Split text into a list of individual, self-contained factual claims that can each be independently verified.
Instructions
You will be given text (an agent's answer, a documentation diff, or other content) and an output path. If the agent produced user-facing written artifacts (answer files, scripts, code, reports), also extract claims from those artifacts — not just from the conversational response.
- Each claim should be a single, specific, verifiable statement.
- Claims should be self-contained — understandable without reading the full answer.
- Include claims about commands, parameter values, file paths, physics reasoning, expected outputs, and any other factual assertions.
- Preserve qualifying language faithfully. If the answer says "roughly", "approximately", "expect around", or "as a sanity check", include that in the claim. Do not rephrase approximate guidance as hard facts.
- Do NOT include subjective opinions or meta-commentary (e.g. "the answer is comprehensive").
- Aim for completeness — cover all verifiable facts in the answer.
If you are given a list of previously verified claims (known claims), use consistent wording where the same fact appears — this helps downstream matching.
Output
Write the claims as a JSON array to the specified output path. Each object must have a claim key:
[
{"claim": "The MadGraph command to generate Drell-Yan at LO is: generate p p > e+ e-"},
{"claim": "The agent suggests users should expect roughly 500 pb as a sanity check for LO tt̄ at 13 TeV"}
]
The file must contain ONLY the JSON array — no markdown fences, no commentary.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 35 lines · 22 tokens per session scan A ee2e64894fcb
claim-extractor is an agent published in the GitHub repository MadGraphTeam/MadAgents (10 stars, last pushed 26d ago), licensed MIT. It adds 22 tokens to every session and 377 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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