agentsclimarketplace

Critique

Skill SebastianElvis/reaper/skills/critique

Provide critique on investigation results via human feedback, Codex consultation, or self-review. Can trigger additional investigation cycles for deepen/explore feedback. Use when iterating on research, requesting AI review, or providing human feedback.From its SKILL.md

Install
npx -y skills add SebastianElvis/reaper --skill critique

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 9 stars9 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 6 commands, including `critique "<feedback>"` and 5 more.

What its file declares

Copied from the file, not written here

The file declares its own license as Apache-2.0. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

8.8 KB, ~1.9k tokens by cl100k_base, as published. Nobody here has run it

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]

Categories:

CategorySignalExample
scopeChange assumptions, threat model, or framing"What if we assume a stronger adversary?"
deepenDig into a specific claim, finding, or proof step"The proof gap in Theorem 3 — find a concrete counterexample"
exploreInvestigate an area the report didn't cover"What about liveness under partial synchrony?"
rewriteImprove clarity, structure, or presentation only"Make the contributions more concrete"

3. Execute

scope: Return control to the orchestrator — this requires re-running /formalize-problem before investigation. Do not run cycles yourself; instead, write the feedback file and indicate that re-formalization is needed.

deepen: Invoke the /brainstorm skill with "context from the user's feedback" to generate targeted hypotheses based on the feedback, then invoke the /investigate skill with argument 5.

explore: If the area may need additional literature, use the search scripts first and update literature.md. Then invoke the /brainstorm skill with "context from the user's feedback" to generate hypotheses for the new area, followed by the /investigate skill with argument 5.

rewrite: No investigation cycles needed. Return control to the orchestrator to re-run /synthesize only.

For deepen and explore, after completing the cycles, the orchestrator should re-run /synthesize to produce an updated report.

Mode: Codex Consultation (--codex)

Consult an external AI (OpenAI Codex via MCP) for an independent second opinion on the current investigation state. This establishes an automated feedback loop where Codex plays devil's advocate or provides alternative inspiration.

See ../reaper/references/codex-consultation.md for MCP setup, fallback behavior, session continuity, and context compression rules. The critique skill's Codex mode is the most thorough consultation — other skills have lighter-weight checkpoint consultations.

Determining the Role

Check reaper-workspace/feedbacks/ for existing codex-consultation-*.md files. Count them to determine the consultation number N. Alternate roles:

  • Devil's Advocate (odd N: 1st, 3rd, 5th, ...): Ask Codex to challenge the current findings. Send it a compressed context (not full files):

    • The last 5 findings from current-understanding.md (extract the most recent insights, ~500 words — not the full file)
    • A summary row from notes/results.md (e.g., "Last 10 cycles: 6 keep, 4 discard; key patterns: [list]")
    • The prompt: "You are reviewing a research investigation. Play devil's advocate: identify the weakest claims, unstated assumptions, logical gaps, or alternative explanations that the investigators may have missed. Be specific — point to exact claims and explain why they might be wrong."
  • Inspiration / Alternative Angles (even N: 2nd, 4th, 6th, ...): Ask Codex for fresh perspectives. Send it a compressed context:

    • The last 5 findings from current-understanding.md (~500 words)
    • The unresolved hypotheses only from ideas.md (skip resolved ones)
    • The prompt: "You are consulting on a research investigation. Suggest alternative proof strategies, related techniques from other fields, or hypotheses the investigators haven't considered. Focus on non-obvious connections and approaches that could break through current blockers."

Context efficiency: Sending compressed context (~800 words) to Codex instead of full files (~5000 words) reduces latency and improves response quality by focusing Codex on what matters most.

Processing Codex Feedback

  1. Log the Codex response to reaper-workspace/feedbacks/codex-consultation-N.md.
  2. Triage the feedback:
    • Actionable critique: If Codex identifies a genuine gap or flaw, add a new hypothesis to ideas.md with the next available H-number (continuing from the highest existing H# in ideas.md), tagged [Codex-N] in the Source field.
    • Alternative approach: If Codex suggests a promising technique, add it as a hypothesis marked [Codex-N].
    • Already addressed: Note this in the consultation log and move on.
    • Irrelevant or wrong: Dismiss with a brief note in the log.
  3. Do not block on Codex feedback. If the MCP call times out or fails, log the failure and return.

Session Continuity

Use a single Codex session ID across all consultations within one investigation run. This allows Codex to build context across consultations. Pass the sessionId parameter to the codex tool, using a consistent ID like "reaper-critique-<timestamp>".

Mode: Self-Review (--self)

The agent reviews its own investigation results for gaps, inconsistencies, or missed angles.

Process

  1. Read current-understanding.md, notes/results.md, and ideas.md.
  2. Identify:
    • Weak claims: Findings with low or medium confidence that haven't been strengthened.
    • Untested assumptions: Assumptions listed in hypotheses or proofs that haven't been validated.
    • Missing angles: Obvious questions raised by the current findings that haven't been investigated.
    • Inconsistencies: Claims in current-understanding.md that conflict with each other or with notes/results.md.
  3. For each actionable finding, add a hypothesis to ideas.md with the next available H-number, tagged [Self-N] in the Source field (where N is one more than the count of existing self-review rounds).
  4. If actionable hypotheses were added, invoke the /investigate skill with argument 3 to address them. The self-review findings are recorded as part of the cycle logs in reaper-workspace/logs/ — no separate self-review file is needed.

Quality Criteria

  • Each investigate-critique loop produces a cycle log in reaper-workspace/logs/ (append-only)
  • Human feedback is classified before action is taken
  • Codex consultations alternate between devil's advocate and inspiration roles
  • Self-reviews identify specific, actionable gaps — not vague concerns
  • New hypotheses generated by critique are tagged with their source ([Round N], [Codex-N], [Self-N])
  • When critique triggers investigation cycles, results flow back through the normal investigation pipeline

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most review quality skills give in ~1.9k tokens

Counted across 1,273 of the 2,403 authors here whose files we hold, read 2026-09-06

  • Ask one question at a timein 63 of 1273, across 62 files
  • Provide a recommended answer for each questionin 47 of 1273, across 45 files
  • Rank findings by severityin 44 of 1273
  • Use parameterized queries for database accessin 38 of 1273, across 20 files
  • Validate all user input with schemasin 33 of 1273, across 15 files
  • Store secrets in environment variablesin 32 of 1273, across 14 files
  • Explore the codebase to answer questionsin 31 of 1273, across 29 files
  • Store tokens in httpOnly cookiesin 30 of 1273, across 12 files
  • Implement rate limiting on API endpointsin 30 of 1273, across 12 files
  • Sanitize user-provided HTMLin 29 of 1273, across 11 files
  • Return generic error messages to usersin 28 of 1273, across 10 files
  • Cite file and line for every findingin 28 of 1273, across 25 files

Said here and by no other author read

  • determine the feedback round number from existing files
  • classify user feedback into scope, deepen, explore, or rewrite
  • write a feedback round file for human input
  • invoke brainstorm and investigate for deepen or explore feedback
  • alternate codex roles between devil's advocate and inspiration
  • send compressed context to codex

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.