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 HezaoHezao/poirot --skill academic-paper-reviewgit clone --depth 1 https://github.com/HezaoHezao/poirotWrote 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/hezaohezao/poirot/academic-paper-review)<a href="https://agentmods.dev/skills/hezaohezao/poirot/academic-paper-review"><img src="https://agentmods.dev/badge/skills/hezaohezao/poirot/academic-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/hezaohezao/poirot/academic-paper-review"><img src="https://agentmods.dev/badge/skills/hezaohezao/poirot/academic-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 | $0.00011 | $0.01637 |
| Opus 5 | $0.00005 | $0.00818 |
| Sonnet 5 | $0.00002 | $0.00327 |
| Haiku 4.5 | $0.00001 | $0.00164 |
Grade A, and why
academic-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 13d 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Academic Paper Review
Overview
Produces structured, peer-review-quality analyses of academic papers. Follows review standards used by top-tier venues (NeurIPS, ICML, ACL, Nature, IEEE) to provide rigorous, constructive, and balanced assessments.
Covers summary, strengths, weaknesses, methodology assessment, contribution evaluation, literature positioning, and actionable recommendations — all grounded in evidence from the paper itself.
When to Use
- User provides a paper URL (arXiv, DOI, conference proceedings)
- User asks to "review", "analyze", "critique", "assess", or "summarize" a research paper
- User wants to understand strengths and weaknesses of a study
- User requests a peer-review-style evaluation
Review Methodology
Phase 1: Paper Comprehension
Step 1.1: Identify Paper Metadata
Extract: Title, Authors, Venue/Status, Year, Domain, Paper Type (Empirical / Theoretical / Survey / Systems / Position).
Step 1.2: Deep Reading Pass
Read the paper systematically using browse_page:
- Abstract & Introduction — Identify claimed contributions and motivation
- Related Work — Note how authors position relative to prior art
- Methodology — Understand the proposed approach in detail
- Experiments / Results — Examine datasets, baselines, metrics, outcomes
- Discussion & Limitations — Note self-identified limitations
- Conclusion — Compare concluded claims against actual evidence
Step 1.3: Key Claims Extraction
List the paper's main claims explicitly:
Claim 1: [Specific claim]
Evidence: [What evidence supports this]
Strength: [Strong / Moderate / Weak]
Phase 2: Critical Analysis
Step 2.1: Literature Context Search
Use web_search to understand the research landscape:
"[paper topic] state of the art [current year]"
"[key method name] comparison benchmark"
"[specific technique] limitations criticism"
Use browse_page on key related papers or surveys.
Step 2.2: Methodology Assessment
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.
- 13d ago First seen · 207 lines · 11 tokens per session scan A 0c4f96304308
academic-paper-review is a skill published in the GitHub repository HezaoHezao/poirot (217 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 1,637 once invoked, about $0.0001 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.
Other skills, from other repositories
commit
Atomic git commit with conventional message. Use when the user says "commit", "save my changes", "commit this", or wants to create a git commit. Stages specific files, writes a conventional commit message with body explaining non-obvious decisions. Never uses git add -A.
python-run
Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.
hqe
Comprehensive codebase health auditing, remediation, and verification skill based on the canonical HQE Protocol v5.0.0.
cost-efficiency-analyzer
Analyzes cost structure, cost efficiency, and expense management from P&L data. Use when the user asks about costs, expenses, COGS, operating expenses, cost ratios, cost control, spending efficiency, margin compression from cost side, or wants to understand where money is going. Also use for "are we spending too…
computer-use
Read and drive native desktop applications through the accessibility layer — list on-screen apps, snapshot one window as a numbered element tree, then click / type / set a value / scroll / drag / run a named action, by element index or by screen coordinates. Use for work in a desktop app rather than a web page. Full…
goal-conductor
Own a long-horizon goal end to end - decompose it into work items, stand up one top-level session per item, patrol their state on a nudge loop, and decide each next round until the goal is met or a stop condition fires. Use when the user hands over a goal too large for one session ("clear the flaky-test backlog"…