Borrowing it
Nothing to install: this file belongs to eunomia-bpf/ActPlane. 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/eunomia-bpf/ActPlane/master/.claude/skills/paper-review/SKILL.mdgit clone --depth 1 https://github.com/eunomia-bpf/ActPlaneWrote 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/eunomia-bpf/actplane/paper-review)<a href="https://agentmods.dev/skills/eunomia-bpf/actplane/paper-review"><img src="https://agentmods.dev/badge/skills/eunomia-bpf/actplane/paper-review/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/eunomia-bpf/actplane/paper-review"><img src="https://agentmods.dev/badge/skills/eunomia-bpf/actplane/paper-review.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 | $0.00031 | $0.03537 |
| Opus 5 | $0.00015 | $0.01768 |
| Sonnet 5 | $0.00006 | $0.00707 |
| Haiku 4.5 | $0.00003 | $0.00354 |
Grade A, and why
paper-review 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.
How it starts
The opening of the file, as written. The whole thing — 321 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Paper Writing Review & Fix
Review the LaTeX file at $ARGUMENTS sentence by sentence for academic writing quality. If no argument is given, ask which section to review.
Review process
- Read the entire file
- Check terminology consistency (Section T below) FIRST
- For each paragraph, analyze every sentence against the checklist below
- Report issues grouped by severity: Must fix (clarity/logic errors), Should fix (antipatterns), Consider (style preferences)
- For each issue, give the line number, quote the problematic text, explain the problem, and suggest a concrete rewrite
- Ask user which fixes to apply, then use Edit tool
Critical rules (for fixes)
- NEVER delete design decisions or technical content. Compression means better prose, not less information.
- NEVER change the meaning of a sentence. If unsure, ask.
- NEVER remove a scope-bearing hedge (
suggest ... on the selected subset,in our setting,up to): it protects the claim from outrunning its evidence (/paper-logic A4/A5). Only collapse stacked hedges down to one. - Always diff-check after multiple edits to ensure no content was lost.
- No em-dashes (
---) in paper text. Table---for N/A is fine. - No semicolons joining independent clauses. Use periods, conjunctions, or causal connectors.
- Why before what: every design decision states its motivation first.
- Example before abstraction: show a concrete case, then generalize.
Section T: Terminology Consistency (NEW - check FIRST)
Terminology drift confuses readers more than awkward prose. Run these checks before sentence-level review.
T1: Same concept, same term
Grep for near-synonyms. If the same concept uses multiple terms, unify to one.
grep -oE '(policy|rule|constraint|directive)' file.tex | sort | uniq -c
Common drift pairs to check:
- policy / rule / constraint / directive
- harness / runtime / framework
- enforce / check / validate / verify
- block / deny / prevent / reject
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 · 321 lines · 31 tokens per session scan A c9eab25b82f5
paper-review is a skill published in the GitHub repository eunomia-bpf/ActPlane (98 stars, last pushed yesterday), licensed MIT. It adds 31 tokens to every session and 3,537 once invoked, about $0.0002 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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