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 nolainjin/paper-verify --skill paper-verify-webchatgit clone --depth 1 https://github.com/nolainjin/paper-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/nolainjin/paper-verify/paper-verify-webchat)<a href="https://agentmods.dev/skills/nolainjin/paper-verify/paper-verify-webchat"><img src="https://agentmods.dev/badge/skills/nolainjin/paper-verify/paper-verify-webchat/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/nolainjin/paper-verify/paper-verify-webchat"><img src="https://agentmods.dev/badge/skills/nolainjin/paper-verify/paper-verify-webchat.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 | $0.00070 | $0.01036 |
| Opus 5 | $0.00035 | $0.00518 |
| Sonnet 5 | $0.00014 | $0.00207 |
| Haiku 4.5 | $0.00007 | $0.00104 |
Grade A, and why
paper-verify-webchat 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Paper Verify (web chat)
Citation verification from a chat. Deterministic parts (extraction, rubric
scoring, report) run as bundled code; fetching and judging use your web
tools. The rubric is exactly the CLI's (paperverify/score.py).
Requirements
- This skill folder bundles the stdlib-only
paperverifypackage — no pip install needed. Run all commands from this skill's directory (the folder containing this SKILL.md), sopython -m paperverifyresolves. - Code execution unavailable? Follow
fallback-prompt.md(bundled) inline instead — same protocol, model-computed scores, clearly lower precision.
Workflow
-
Get the document. Save the user's text/upload to a file, e.g.
/tmp/doc.md. -
Extract (code):
python -m paperverify /tmp/doc.md --extract-only > /tmp/citations.jsonShow the user a short table (id, type, ref, line) and the count.
-
Fetch + judge (web tools). For each citation object: open
refwith web fetch (search the title if it fails). Then build one evidence item:citation: the object from step 2, verbatim.fetched:status(HTTP-ish: 200 ok / 404 dead / 0 unreachable),title,abstract(the relevant passage, ≤1500 chars),url_final,authors(list, if visible),year(int or null),source:"http"(or"none"when unreachable — then also seterror),soft_404_suspect: true for error/placeholder pages that return 200.judgements: exactly one —{"judge": "webchat:claude", "verdict": Match|Partial|Mismatch|Uncertain|Inaccessible, "reason": "one line quoting the source"}. Unreachable source ⇒Inaccessible; never guess (preferUncertain).
-
Assemble
/tmp/evidence.json:{"source_file": "doc.md", "level": "L2", "citations": [ ...evidence items... ]}(Shape reference: bundled
examples/evidence-sample.json.) -
Score + report (code):
python -m paperverify --from-evidence /tmp/evidence.json --json --out /tmp/pv
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 · 87 lines · 70 tokens per session scan A e72cc29f653a
paper-verify-webchat is a skill published in the GitHub repository nolainjin/paper-verify (5 stars, last pushed yesterday), licensed MIT. It adds 70 tokens to every session and 1,036 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
academic-research
Nested swiss-knife reference for academic literature work — find papers, fetch full-text PDFs, trace citations, write LaTeX manuscripts. First action for any "get me this paper" request: python3 /scripts/fetchpaper.py — walks arXiv → Unpaywall → Europe PMC → CORE → in-house publisher-page extraction…
cvpr-iccv-eccv
CVPR / ICCV / ECCV paper formatting — activate when the user wants to submit to CVPR, ICCV, or ECCV, follow their template, or fix format issues for these computer vision conferences.
figure-drawing
MANDATORY skill for creating any figure, diagram, chart, table visualization, or TikZ graphic in a paper. Must be activated BEFORE writing any drawing code. Produces standalone .tex → compiled PDF/PNG → \includegraphics in paper. Never inline TikZ code directly into paper sections.
paper-research-form
A workflow for collecting and comparing research papers in a structured CSV file. A literature review is a selected summary of existing research on a topic.
user-preview
Compile the current project's LaTeX files and send the generated PDF to the user for preview. Use when the user wants to check typesetting results or confirm the effect of recent edits.
paper-fetch
Use when the user wants to download a paper PDF from a DOI (or title, resolved to a DOI first). Tries Unpaywall, arXiv, bioRxiv/medRxiv, PubMed Central, Semantic Scholar, and Sci-Hub mirrors as a last-resort fallback.