Borrowing it
Nothing to install: this file belongs to FilippoScaramuzza/agentic-reviewer. 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/FilippoScaramuzza/agentic-reviewer/main/.agents/skills/review-paper/SKILL.mdgit clone --depth 1 https://github.com/FilippoScaramuzza/agentic-reviewerWrote 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/filipposcaramuzza/agentic-reviewer/review-paper)<a href="https://agentmods.dev/skills/filipposcaramuzza/agentic-reviewer/review-paper"><img src="https://agentmods.dev/badge/skills/filipposcaramuzza/agentic-reviewer/review-paper/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/filipposcaramuzza/agentic-reviewer/review-paper"><img src="https://agentmods.dev/badge/skills/filipposcaramuzza/agentic-reviewer/review-paper.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 | $0.00021 | $0.00386 |
| Opus 5.5 | $0.00008 | $0.00154 |
| Sonnet 5.5 | $0.00004 | $0.00077 |
| Haiku 4.5 | $0.00002 | $0.00039 |
Grade A, and why
review-paper 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 2mo 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.
What it actually says
Review Paper
Run the repository's paper review workflow from prompts/editor-in-chief.txt.
Inputs required from the user:
- Paper path, usually under
papers/ - Target journal or conference name
If either input is missing, ask for it before starting.
Workflow
- Create
reports/<journal-slug>/<YYYY-MM-DD-HHMMSS>/. - Write
00-session-info.md. - If the paper is not Markdown, use the
paper-converteragent to convert it. - Check
context/<journal-slug>/for cached journal context. - Unless the user says
re-explore, reuse cached context only when all four files exist:scope-and-criteria.mdrecent-papers-analysis.mdstyle-guide.mdreputation-profile.md
- If context is missing, stale, or incomplete, run only the exploration agents needed to produce missing or stale files:
scope-explorerrecent-papers-explorerstyle-guide-explorerreputation-explorer
- After exploration is complete, run the reviewer agents:
scope-reviewermethodology-reviewerwriting-style-reviewerstatistics-reviewerethics-reviewer
- After all reviewer outputs exist, use
report-compiler.
Output Contract
All session artifacts must be written to the timestamped report directory:
reports/<journal-slug>/<YYYY-MM-DD-HHMMSS>/
Do not write review artifacts to reviews/.
Do not commit changes unless the user explicitly asks.
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.
- 2mo ago First seen · 52 lines · 21 tokens per session scan A 499ab71ba265
review-paper is a skill published in the GitHub repository FilippoScaramuzza/agentic-reviewer (3 stars, last pushed 4mo ago), licensed MIT. It adds 21 tokens to every session and 386 once invoked, about $0.0001 per session on Opus 5.5. 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.
review-paper compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| review-paperFilippoScaramuzza/agentic-reviewer | Skill | 3 | 4mo ago | MIT | A | 21 | Claude Code, Codex |
| wiki-ingestAvalancheAI-labs/agent-wiki-kit | Skill | 0 | 2mo ago | MIT | A | 77 | Claude Code, Codex |
| ingest-wikipanamini/Pagecraft | Skill | 2 | 6mo ago | GPL-3.0 | A | 68 | Claude Code |
| ingest-wikipanamini/Pagecraft | Skill | 2 | 6mo ago | GPL-3.0 | A | 114 | Claude Code |
| karpathy-guidelinespanamini/Pagecraft | Skill | 2 | 6mo ago | GPL-3.0 | A | 46 | Claude Code |
| ai-agent-evaluation-benchmarkingsickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 31 | Claude Code |
| implement-outlinehumanlayer/humanlayer | Skill | 13k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |