Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cyberbird2048/gbrainmcp-cleannpx agentmods add skills/cyberbird2048/gbrainmcp-clean/academic-verifyWrote 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/cyberbird2048/gbrainmcp-clean/academic-verify)<a href="https://agentmods.dev/skills/cyberbird2048/gbrainmcp-clean/academic-verify"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/academic-verify/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/cyberbird2048/gbrainmcp-clean/academic-verify"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/academic-verify.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 | $0.00074 | $0.02164 |
| Opus 5 | $0.00037 | $0.01082 |
| Sonnet 5 | $0.00015 | $0.00433 |
| Haiku 4.5 | $0.00007 | $0.00216 |
Grade A, and why
academic-verify 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 11d 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 academic-verify — 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 — 226 lines — stays where its author put it; the contents beside it link to each section on GitHub.
academic-verify — Trace Claims to Source Data
Convention: see conventions/quality.md for citation rules; every verdict cites the source data, not just the author's claim about the source data.
Convention: see conventions/brain-first.md for the lookup chain. This skill enforces brain-first by checking existing brain pages before issuing a fresh web search.
What this is
A claim-verification flow for academic / research statements. When a book, article, or speaker cites a study or quotes a number, this skill traces the claim through:
claim → publication → methodology section → raw data source → independent verification
At each step, it answers:
- Where does this number come from? (Self-generated? Survey? Government data?)
- What's the baseline? (Reduction from what? Over what time period?)
- Is the raw data available? (Public? Proprietary? "Available on request"?)
- Has anyone independently verified it? (Replication study? Government audit?)
- Are there confounding factors? (Other interventions, policy changes, COVID, sampling bias?)
- Is the comparison fair? (Cherry-picked comparison group? Survivorship bias?)
The output is a brain page under concepts/<claim-slug>.md that records
the claim, the trace, and the verdict — so future references to the
same claim can re-use the verified analysis.
When to use this
- A book quotes a study and you want to confirm it's real and not miscited
- An article makes a quantified claim ("X reduced Y by 40%") that you want traced to the source data
- You're writing something that depends on a piece of research and you want to verify the underlying paper holds up
- You're updating a brain page that cites a research claim and you want to record the verification status alongside
What this skill is NOT
- Not adversarial / oppo work. The point is rigor, not takedown.
- Not generic web research — use
perplexity-researchdirectly for open-ended topic exploration. - Not a brain-only lookup — that's
gbrain query.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 226 lines · 74 tokens per session scan A 1c19e27e7524
academic-verify is a skill published in the GitHub repository cyberbird2048/gbrainmcp-clean (0 stars, last pushed 1mo ago), licensed MIT. It adds 74 tokens to every session and 2,164 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to academic-verify, differing in 0 lines, and is treated as a copy.
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