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 CanXiangCC/aminer-open-skill --skill citation-faithfulnessgit clone --depth 1 https://github.com/CanXiangCC/aminer-open-skillWrote 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/canxiangcc/aminer-open-skill/citation-faithfulness)<a href="https://agentmods.dev/skills/canxiangcc/aminer-open-skill/citation-faithfulness"><img src="https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/citation-faithfulness/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/canxiangcc/aminer-open-skill/citation-faithfulness"><img src="https://agentmods.dev/badge/skills/canxiangcc/aminer-open-skill/citation-faithfulness.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00274 | $0.03442 |
| Opus 5 | $0.00137 | $0.01721 |
| Sonnet 5 | $0.00055 | $0.00688 |
| Haiku 4.5 | $0.00027 | $0.00344 |
Grade A, and why
citation-faithfulness 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 9d 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 — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Citation Faithfulness Checker
Verify whether the in-text citations in a paper PDF are faithful to the original sources. For each place the paper says "according to [X], …" or "[X] reports …", this skill retrieves what X actually says and judges whether the paper's claim is genuinely supported — catching misrepresentation, reversed conclusions, wrong attribution, mismatched numbers, and claims the source never made.
This is agent-driven: there is no upload service and no bundled script. Claude reads the PDF, retrieves sources with its own web tools, and applies the judging rubric itself. Invoke via natural language or /citation-faithfulness.
What This Skill Does vs. Does Not
This skill (citation-faithfulness) |
pdf-citation-verifier |
|
|---|---|---|
| Question | Does the cited source actually support the claim? | Does the reference exist at all? |
| Catches | Distortion, reversed meaning, wrong numbers, over-claiming | Ghost references, fabricated DOIs |
| Method | Read PDF + web-retrieve source + agent judges | Upload PDF to AMiner service |
| Key | none required | needs AMINER_API_KEY |
If the user actually wants existence/hallucination checking, stop and route them to pdf-citation-verifier.
Verdict Labels
Each checked claim–source pair gets exactly one verdict (keep the English label in JSON/tables; explain in the user's language):
SUPPORTED— the source clearly states what the paper attributes to it.PARTIALLY_SUPPORTED— the source supports part of the claim but the paper overstates, narrows, or adds qualifiers the source did not make.NOT_SUPPORTED— the source addresses the topic but says something different or opposite (a genuine misrepresentation).NOT_IN_SOURCE— the retrieved source (full text) simply does not contain the claimed fact/result.UNVERIFIABLE— the source could not be retrieved, or only an abstract was available and the claim targets a detail the abstract does not cover. This is not an accusation — it means "we could not check", not "the citation is wrong".
What ships with it
4 files 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.
- 9d ago Changed 7712d3bf5f12
- 13d ago First seen · 173 lines · 274 tokens per session scan A fbc98f9b4740
citation-faithfulness is a skill published in the GitHub repository CanXiangCC/aminer-open-skill (60 stars, last pushed 5d ago), licensed MIT. It adds 274 tokens to every session and 3,442 once invoked, about $0.0014 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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