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/citation-fixerWrote 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/citation-fixer)<a href="https://agentmods.dev/skills/cyberbird2048/gbrainmcp-clean/citation-fixer"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/citation-fixer/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/citation-fixer"><img src="https://agentmods.dev/badge/skills/cyberbird2048/gbrainmcp-clean/citation-fixer.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 | $0.00067 | $0.01544 |
| Opus 5 | $0.00034 | $0.00772 |
| Sonnet 5 | $0.00013 | $0.00309 |
| Haiku 4.5 | $0.00007 | $0.00154 |
Grade A, and why
citation-fixer 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 citation-fixer — 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Citation Fixer Skill
Convention: see conventions/quality.md for the canonical citation format every fix should match.
Output rule: all links MUST be deterministic (built from API data, not composed by LLM). See _output-rules.md.
Contract
This skill guarantees:
- Every brain page is scanned for citation compliance.
- Missing citations are flagged with specific location.
- Malformed citations are fixed to match the standard format.
- (v0.25.1) Tweet / post references without URLs are resolved via
X API and patched with deterministic
https://x.com/<handle>/status/<id>links. - Results reported with counts (scanned, fixed, remaining).
Phases
- Scan pages. List pages and read each one, checking for inline
[Source: ...]citations. - Identify issues:
- Facts without any citation
- Citations missing date
- Citations missing source type
- Citations with wrong format
- (v0.25.1) Tweet references without
x.comURLs
- Fix format issues. Rewrite malformed citations to match
conventions/quality.md. - (v0.25.1) Resolve tweet references via the X API integration.
- Report results. Count: pages scanned, citations found, issues fixed, tweets resolved, remaining gaps.
Tweet resolution pipeline (v0.25.1 extension)
For each broken tweet reference, follow this chain. The actual API call
goes through whatever X integration the host has configured (typical
shape: a recipe under recipes/x-api/ with handle / search-all
endpoints).
Step 1: Identify broken references
Scan the page for patterns that indicate tweet references without URLs:
- Contains words like
tweeted,posted,said on X,RT,retweet,X post - Contains quoted text that looks like a tweet (short, punchy, often starts with a quote)
- Has
[Source: ... X/Twitter ...]without anx.comURL - References engagement metrics (likes, impressions) without a link
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.
- 10d ago First seen · 209 lines · 67 tokens per session scan A abdadbf0740a
citation-fixer is a skill published in the GitHub repository cyberbird2048/gbrainmcp-clean (0 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 1,544 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to citation-fixer, differing in 0 lines, and is treated as a copy.
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