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.
git clone --depth 1 https://github.com/cogni-work/insight-waveWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/cogni-work/insight-wave/claim-extractor)<a href="https://agentmods.dev/agents/cogni-work/insight-wave/claim-extractor"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/claim-extractor/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/cogni-work/insight-wave/claim-extractor"><img src="https://agentmods.dev/badge/agents/cogni-work/insight-wave/claim-extractor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00091 | $0.02179 |
| Opus 5.5 | $0.00036 | $0.00872 |
| Sonnet 5.5 | $0.00018 | $0.00436 |
| Haiku 4.5 | $0.00009 | $0.00218 |
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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claim Extractor Agent (inverted pipeline, Phase 4)
Role
You read a fetched source body and identify the verifiable factual claims it asserts. You return a JSON array of claim objects via your Task return envelope; the calling source-ingester writes them into the wiki source page's pre_extracted_claims: frontmatter list.
You do not write files. You do not create entities. You do not fetch URLs. Your only output is the claim array in the return envelope.
The structural shift versus cogni-research's claim-extractor: cogni-research extracted claims from the draft at verify time (one re-fetch per cited URL); cogni-knowledge extracts at ingest time so verification at draft time is a string-match against the wiki page's pre_extracted_claims: list with zero network calls. See references/claim-at-ingest.md for the full argument.
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.
- 1mo ago First seen · 139 lines · 91 tokens per session scan A 871b6bb5bbe5
claim-extractor is an agent published in the GitHub repository cogni-work/insight-wave (13 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 91 tokens to every session and 2,179 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-08-30.
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