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 skills add expandingideas-ai/mcp-wet --skill fact-checkgit clone --depth 1 https://github.com/expandingideas-ai/mcp-wetWrote 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/skills/expandingideas-ai/mcp-wet/fact-check)<a href="https://agentmods.dev/skills/expandingideas-ai/mcp-wet/fact-check"><img src="https://agentmods.dev/badge/skills/expandingideas-ai/mcp-wet/fact-check/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/skills/expandingideas-ai/mcp-wet/fact-check"><img src="https://agentmods.dev/badge/skills/expandingideas-ai/mcp-wet/fact-check.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 | $0.00018 | $0.00783 |
| Opus 5 | $0.00009 | $0.00392 |
| Sonnet 5 | $0.00004 | $0.00157 |
| Haiku 4.5 | $0.00002 | $0.00078 |
Grade A, and why
fact-check 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 10d 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.
This is a copy
100% identical to fact-check — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 66 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Fact Check
Verify a claim by actively searching for BOTH supporting and contradicting evidence. Counteracts LLM confirmation bias by enforcing adversarial search.
Steps
-
Decompose the claim into verifiable sub-claims:
- Separate factual assertions from opinions
- Identify the core falsifiable statement
- Note the domain: scientific, technical, historical, statistical, or current events
-
Search for SUPPORTING evidence using
search:search(action="search", query="[claim as stated]")- For scientific claims:
search(action="search", query="[claim] research evidence", search_type="academic") - Extract 2-3 strongest supporting sources with
extract
-
Search for CONTRADICTING evidence (mandatory — do NOT skip):
search(action="search", query="[claim] debunked OR wrong OR myth OR criticism")search(action="search", query="[opposite of claim] evidence")- For scientific claims:
search(action="search", query="[claim] replication failure OR meta-analysis", search_type="academic") - Extract 2-3 strongest contradicting sources with
extract
-
Assess source quality for each piece of evidence:
- Tier 1: Peer-reviewed journals, official statistics, primary sources
- Tier 2: Established news outlets, institutional reports, expert analysis
- Tier 3: Blogs, forums, social media, opinion pieces
- Tier 4: Anonymous sources, undated content, known biased outlets
- Discard Tier 4 unless no better sources exist
-
Produce verdict with structured output:
- Claim: [exact claim being checked]
- Verdict: Supported / Partially Supported / Disputed / Unsupported / Insufficient Evidence
- Confidence: High / Medium / Low (based on source tier and agreement)
- Supporting evidence: [bullet list with source tier tags]
- Contradicting evidence: [bullet list with source tier tags]
- Nuance: [important caveats, context-dependence, or scope limitations]
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.
- 10d ago First seen · 66 lines · 18 tokens per session scan A 4ff0af3752ca
fact-check is a skill published in the GitHub repository expandingideas-ai/mcp-wet (0 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 783 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to fact-check, differing in 0 lines, and is treated as a copy.
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