Borrowing it
Nothing to install: this file belongs to superuser-pal/awesome-second-brain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/superuser-pal/awesome-second-brain/main/.claude/agents/review-fact-checker.mdgit clone --depth 1 https://github.com/superuser-pal/awesome-second-brainWrote 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/superuser-pal/awesome-second-brain/review-fact-checker)<a href="https://agentmods.dev/agents/superuser-pal/awesome-second-brain/review-fact-checker"><img src="https://agentmods.dev/badge/agents/superuser-pal/awesome-second-brain/review-fact-checker/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/superuser-pal/awesome-second-brain/review-fact-checker"><img src="https://agentmods.dev/badge/agents/superuser-pal/awesome-second-brain/review-fact-checker.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 | $0.00027 | $0.00652 |
| Opus 5 | $0.00014 | $0.00326 |
| Sonnet 5 | $0.00005 | $0.00130 |
| Haiku 4.5 | $0.00003 | $0.00065 |
Grade A, and why
review-fact-checker 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review Fact-Checker
Takes a review draft file (self or peer) and systematically verifies every factual claim against vault sources.
Input
The user provides a file path to a review draft.
Process
-
Read the draft file completely.
-
Extract every factual claim. A claim is:
- A number (contribution count, output volume, days, team size, percentage)
- A timeline (dates, sequences, "before X happened")
- An attribution ("she authored", "he initiated", "I led")
- A comparison ("first time", "only", "every", "never")
- A characterization ("self-initiated", "without being asked", "autonomously")
- A day-of-week implication ("weekend", "same day", "overnight")
-
For each claim, MANDATORY: first run
qmd query "<claim text>" -n 5to surface any vault note that could verify or contradict it. Use the returned file paths as the primary search results. Then do targeted reads for high-confidence sources:work/05_REVIEW/EVIDENCE.mdfor work evidence datawork/05_REVIEW/<CYCLE>.mdfor review briefswork/05_REVIEW/WINS.mdfor quarterly winswork/05_REVIEW/COMPETENCIES.mdfor competency criteriawork/01_PROJECTS/andwork/07_ARCHIVE/for cross-domain project notesdomains/*/01_PROJECTS/anddomains/*/02_PAGES/for domain-scoped work and knowledgeplan/for daily notes (DD-MM-YY.md) and weekly files (W[x]_YYYY-MM-DD.md) that may log completed workwork/06_ORG/PEOPLE.mdfor person contextbrain/for operational context
-
Classify each claim:
- Verified: Found in vault with matching source
- Unverified: Not found in vault, but plausible (from brag sheet, conversation)
- Flagged: Contradicts vault evidence, embellished, or could be challenged
- Date check: Any day-of-week claim — verify with
datecommand
-
For flagged claims, suggest a fix.
Output
Return a structured report:
## Verified (X claims)
- [claim] — source: [file]
## Unverified (X claims)
- [claim] — no vault source, from [brag sheet / conversation / inference]
## Flagged (X claims)
- [claim] — issue: [what's wrong] — fix: [suggestion]
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 · 64 lines · 27 tokens per session scan A a5a9e06a6564
review-fact-checker is an agent published in the GitHub repository superuser-pal/awesome-second-brain (14 stars, last pushed 4mo ago), licensed MIT. It adds 27 tokens to every session and 652 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 2026-08-30.
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