critique

critique is a skill for Claude Code from SebastianElvis/reaper. It costs 47 tokens per session (2,055 once invoked), scanned A, original, Apache-2.0.

A research-review tool that critiques investigation results using human feedback, another AI review, or a self-review. It can request more investigation when the critique finds gaps.

In plain words
What is it for?
Use it to review findings, challenge proofs or security claims, and trigger deeper investigation when needed.
Why use it?
It helps expose weak reasoning, missing evidence, and unanswered questions before the research is finalised.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions Codex.

Part of the reaper plugin — 10 skills shipped together

Good fit Use it to review findings, challenge proofs or security claims, and trigger deeper investigation when needed.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sebastianelvis/reaper/critique
Install

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.

Any agent
npx skills add SebastianElvis/reaper --skill critique
Clone the repo
git clone --depth 1 https://github.com/SebastianElvis/reaper

Made for: Claude Code.

Or install reaper, the plugin that ships this one along with the rest of its 10 skills.

Wrote 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.

agentmods badge for critique

README.md
[![agentmods](https://agentmods.dev/badge/skills/sebastianelvis/reaper/critique/github.svg)](https://agentmods.dev/skills/sebastianelvis/reaper/critique)
Your own site
<a href="https://agentmods.dev/skills/sebastianelvis/reaper/critique"><img src="https://agentmods.dev/badge/skills/sebastianelvis/reaper/critique/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.

agentmods 80×15 button for critique

Your own site · 80×15
<a href="https://agentmods.dev/skills/sebastianelvis/reaper/critique"><img src="https://agentmods.dev/badge/skills/sebastianelvis/reaper/critique.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,055 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00047 $0.02055
Opus 5 $0.00023 $0.01027
Sonnet 5 $0.00009 $0.00411
Haiku 4.5 $0.00005 $0.00205

Measured 10d ago against content hash 2fa4d1709d2b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

critique 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.

skills/critique/SKILL.md · 148 lines

How it starts

The opening of the file, as written. The whole thing — 148 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Critique

Provide external perspective on investigation results. Three modes: human feedback, Codex consultation, and self-review. Can trigger additional investigation cycles when feedback requires deeper exploration.

Usage

Invoke this skill by name; pass either feedback as a quoted string, --codex, or --self. On slash-command hosts, prefix with / (e.g. /critique "<feedback>").

# Human feedback — iterate on existing results
critique "dig deeper into the liveness proof gap under partial synchrony"

# External-model consultation — get AI devil's advocate or inspiration (requires MCP host)
critique --codex

# Self-review — agent reviews its own findings for gaps
critique --self

Inputs

Always read before starting:

  • reaper-workspace/notes/current-understanding.md — the "branch tip" of accumulated knowledge
  • reaper-workspace/notes/results.md — what's been tried and what happened
  • reaper-workspace/notes/problem-statement.md — model assumptions and property definitions
  • reaper-workspace/notes/ideas.md — the ideas to investigate
  • reaper-workspace/feedbacks/ — prior feedback rounds

Lazy-load only when needed:

  • reaper-workspace/notes/paper-summary.md — the source paper (if provided)
  • reaper-workspace/notes/literature.md — known prior work
  • reaper-workspace/papers/ — downloaded PDFs and per-paper notes

Mode: Human Feedback

When the argument is quoted text, the skill enters human feedback mode. This is used after investigation has produced results and the user wants to refine, deepen, or challenge specific findings.

1. Determine the Feedback Round

Check reaper-workspace/feedbacks/ for existing round-*.md files. The new round number is one greater than the highest existing round, or 1 if none exist.

2. Classify and Save Feedback

Classify the user's feedback and write reaper-workspace/feedbacks/round-N.md:

# Feedback Round N

**User request**: [the user's feedback, verbatim or lightly paraphrased]

**Category**: [scope | deepen | explore | rewrite]

**Action plan**: [what will be done]

Read the full file on GitHub · 148 lines

Changes

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.

  1. 10d ago First seen · 148 lines · 47 tokens per session scan A 2fa4d1709d2b

Subscribe to this mod's changes

critique is a skill published in the GitHub repository SebastianElvis/reaper (9 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 47 tokens to every session and 2,055 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 2026-08-31.

Related

Other skills, from other repositories

content-refinement-agent

Step 5 of the PaperOrchestra pipeline (arXiv:2604.05018). Iteratively refine drafts/paper.tex by simulating peer review and applying targeted revisions, with strict accept/revert halt rules, deterministic 0-100 decision bands (Accept/Minor/Major/Reject) that drive a target-met early stop, and a Devil's Advocate…

Ar9av/PaperOrchestra · 145 tokens

literature-review-agent

Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Crossref + OpenAlex to…

Ar9av/PaperOrchestra · 149 tokens

agent-research-aggregator

Pre-pipeline aggregator that scans AI agent cache directories (.claude, .cursor, .antigravity, .openclaw) or any user-specified directory for experimentation logs, extracts insights and numeric results, and formats them as PaperOrchestra-ready inputs (idea.md + experimentallog.md). TRIGGER when the user says…

Ar9av/PaperOrchestra · 177 tokens

paper-orchestra

Orchestrate the full PaperOrchestra (Song et al., 2026, arXiv:2604.05018) five-agent pipeline to turn unstructured research materials (idea, experimental log, LaTeX template, conference guidelines, optional figures) into a submission-ready LaTeX manuscript and compiled PDF. TRIGGER when the user asks to "write a paper…

Ar9av/PaperOrchestra · 143 tokens

section-writing-agent

Step 4 of the PaperOrchestra pipeline (arXiv:2604.05018). ONE single multimodal LLM call that drafts the remaining paper sections (Abstract, Methodology, Experiments, Conclusion), extracts numeric values from experimentallog.md into LaTeX booktabs tables, splices the generated figures from Step 2, and merges…

Ar9av/PaperOrchestra · 125 tokens

plotting-agent

Step 2 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the visualization plan from outline.json — render plots and conceptual diagrams from experimentallog.md and idea.md, optionally refine via VLM critique loop, and produce context-aware captions. Runs in parallel with the literature-review-agent. TRIGGER…

Ar9av/PaperOrchestra · 102 tokens