Agent skill

Cy Spec Peer Review

by compozy in compozy/compozy

Run a requested external review of an approved Compozy spec; continue follow-ups in the same reviewer session and incorporate only user-selected findings.

MITAuto-check passedResearch & Science

Install Cy Spec Peer Review

skills CLI
$ npx skills add compozy/compozy --skill cy-spec-peer-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install compozy/compozy cy-spec-peer-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/compozy/compozy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/cy-spec-peer-review .claude/skills/cy-spec-peer-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cy-spec-peer-review
GitHub stars
2.8k
Token cost
~3.4k tokens
SKILL.md length
1,633 words
Files
4 (incl. scripts, references)
Skills in repo
47
Repo updated
First seen
Licence
MIT

At a glance

Run a requested external review of an approved Compozy spec; continue follow-ups in the same reviewer session and incorporate only user-selected findings.

  • Works in 7 steps: Resolve spec-path. If omitted, list… → Confirm the user has already approved… → Read the saved spec and identify its… → …
  • Tasks that involve Peer review
  • SKILL.md covers User Decisions, Bundled Path Rule, Required Inputs and Findings Artifact Contract, plus 3 more sections
  • Runs Shell scripts from its folder; calls bash and git

What it does

Cy Spec Peer Review is an agent skill from compozy/compozy. Run a requested external review of an approved Compozy spec; continue follow-ups in the same reviewer session and incorporate only user-selected findings. Excludes product drafts, automatic gates, code reviews, and review loops.

Its SKILL.md is about 3.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/peer-review-prompt.md`, `references/quality-markers.md` and `scripts/validate-findings.sh`).

It sits in Research & Science, covering Peer review and Code review. The repository describes itself as: An operating system for AI agents. Plug in the agent CLIs you already use (Claude Code, Codex, Gemini CLI, Cursor) and they become a team: they split the work, hand tasks to each… The licence is MIT.

When your agent uses it

  • Tasks that involve Peer review
  • Tasks that involve Code review

Example prompts

  • “/cy-spec-peer-review”

Requirements

  • A Bash shell

Workflow steps

7 steps, taken from the first numbered list in SKILL.md.

  1. Resolve spec-path. If omitted, list candidate paths and pick the freshest.
  2. Confirm the user has already approved the current draft or explicitly asked to review the saved spec as-is.
  3. Read the saved spec and identify its scope, changed contracts, and verification strategy; honor an explicit request to review it as-is.
  4. Use the applicable markers in references/quality-markers.md. Missing applicable contracts become findings; no mandatory Go/storage/lease…
  5. Resolve the slug from the path; ensure .compozy/tasks// exists and is writable.
  6. Ensure .compozy/tasks//qa/ exists before dispatch.
  7. Determine the next review round number by listing existing qa/peer-review-findings-round*.md, qa/peer-review-summary-round*.md, and legacy…

What it can do on your machine

Read from SKILL.md and the folder at commit c15729c. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Shell), which the agent can run.

    Shell commands in SKILL.md call:

    • bash
    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cy Spec Peer Review loads about 3.4k tokens when it runs, and up to ~5.2k if it reads all its reference files. Until then it costs about 62 tokens; SKILL.md has 1,633 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~3.4k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~5.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from compozy/compozy at commit c15729c, republished under its MIT licence (© compozy). 1,633 words, ~3,411 tokens.

Download SKILL.mdSave it as .claude/skills/cy-spec-peer-review/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
cy-spec-peer-review
description
Run a requested external review of an approved Compozy spec; continue follow-ups in the same reviewer session and incorporate only user-selected findings. Excludes product drafts, automatic gates, code reviews, and review loops.
trigger
explicit
argument-hint
[spec-path] [--reviewer] [--model] [--reasoning]

Spec Peer Review

An independent reviewer session pressure-tests an approved Spec (Part II focus). One review program = one reviewer session: round 1 spawns it and reads the full corpus; every later round is a continuation prompt to that same live session, so the reviewer re-reads only what changed. This skill runs that pressure-test only when the user explicitly asks for a review round after approving the current draft. It does not auto-run, auto-incorporate findings, or auto-loop additional rounds.

The review result is a direct-written Markdown findings file. Reviewer terminal/stream output is operational evidence only; never parse it as the review source of truth.

User Decisions

When this skill instructs the agent to ask whether to incorporate findings or run another round, it MUST use the runtime's dedicated interactive question tool — the tool or function that presents a question to the user and pauses execution until the user responds.

If the runtime does not provide such a tool, present the question as the complete assistant message and stop generating. Do not answer the question on the user's behalf.

Bundled Path Rule

Resolve bundled helper paths relative to the directory that contains this SKILL.md. When invoking the validator from a repository root, use the full repo-relative path:

bash
bash .agents/skills/cy-spec-peer-review/scripts/validate-findings.sh --kind spec --round <N> --path <findings-path>

The validator is a read-only helper: it inspects the findings artifact and exits non-zero on structural contract violations.

Required Inputs

  • spec-path (optional): explicit path to the _spec.md under review. When omitted, resolve to the most recently modified .compozy/tasks/<slug>/_spec.md whose sibling _meta.md shows Pending: > 0 or no _meta.md exists yet.
  • Reviewer selection (default: the configured reviewer runtime/model): how the reviewer session runs depends on the dispatch substrate —
    • CompozyOS session (canonical): a reviewer agent definition carries provider/model/reasoning; pass it via --reviewer <agent-name>.
    • herdr worker TUI (when the operator orchestrates through herdr): model flags ride the worker launch, e.g. --kind codex -- --yolo.
    • --model / --reasoning override the defaults on either substrate. Never substitute a different model than the user requested.

Findings Artifact Contract

Each review round has exactly one authoritative findings file:

.compozy/tasks/<slug>/qa/peer-review-findings-roundN.md

The reviewer may write exactly that file and no other file. If the target path is missing, ambiguous, unwritable, or outside the named .compozy/tasks/<slug>/qa/ directory, the reviewer must refuse and stop. It must not print findings to stdout as a fallback.

The findings file MUST use this structure:

markdown
---
schema_version: 1
review_kind: spec
round: N
readiness: READY|BLOCKED|NEEDS_REWORK
reviewer_runtime: <reviewer runtime, e.g. codex>
reviewer_model: <resolved --model>
generated_at: <ISO-8601 timestamp>
---

# Summary

# Blockers

# Nits

# Evidence

# Deferred Or Follow-Up

Every blocker and nit must include an ID, a real section/path reference, the issue, and a concrete suggested fix. Blockers must also include the rationale for why the issue blocks approval.

Procedures

Step 1: Validate Input and Context

  1. Resolve spec-path. If omitted, list candidate paths and pick the freshest.
  2. Confirm the user has already approved the current draft or explicitly asked to review the saved spec as-is.
  3. Read the saved spec and identify its scope, changed contracts, and verification strategy; honor an explicit request to review it as-is.
  4. Use the applicable markers in references/quality-markers.md. Missing applicable contracts become findings; no mandatory Go/storage/lease sections for unrelated designs.
  5. Resolve the slug from the path; ensure .compozy/tasks/<slug>/ exists and is writable.
  6. Ensure .compozy/tasks/<slug>/qa/ exists before dispatch.
  7. Determine the next review round number by listing existing qa/peer-review-findings-round*.md, qa/peer-review-summary-round*.md, and legacy qa/peer-review-result-round*.json* files (prior local output only — not a compatibility path). Start at round1 when none exist.

Step 2: Compose the Review Prompt

  1. Read references/peer-review-prompt.md for the canonical executable reviewer prompt template. The assembled prompt must start with the reviewer instructions, not with a Markdown wrapper describing the template.
  2. Define the round artifact paths:
    • Findings target: .compozy/tasks/<slug>/qa/peer-review-findings-roundN.md.
    • Operational evidence log (when the dispatch substrate produces one): .compozy/tasks/<slug>/qa/peer-review-log-roundN.txt.
    • Pre-run status snapshot: .compozy/tasks/<slug>/qa/peer-review-status-before-roundN.txt.
    • Post-run status snapshot: .compozy/tasks/<slug>/qa/peer-review-status-after-roundN.txt.
    • Validation error, only when needed: .compozy/tasks/<slug>/qa/peer-review-validation-error-roundN.md.
  3. Substitute the placeholders:
    • {spec_path} — exact path to the _spec.md under review.
    • {surface_paths} — any _dx.md/_uiux.md siblings, or none.
    • {adr_paths} — any adrs/*.md siblings, or none.
    • {related_research} — any analysis/*.md siblings, or none.
    • {findings_path} — exact absolute path to .compozy/tasks/<slug>/qa/peer-review-findings-roundN.md.
    • {round} — numeric review round N.
    • {reviewer_runtime} — the reviewer runtime (default codex).
    • {reviewer_model} — resolved explicit model or configured runtime default.
  4. Write the assembled prompt to .compozy/tasks/<slug>/qa/peer-review-prompt-roundN.md.
  5. Round 1 uses the full template. Round N+1 composes a continuation prompt instead — the reviewer session already holds the corpus. It contains only: the exact list of changed files (with a one-line summary of what changed in each), the incorporation record path, the instruction to verify each prior finding is genuinely resolved and to sweep the new text for fresh regressions, and the new findings target with frontmatter round: N+1 (new finding IDs continue the sequence). Same scoped-write contract and findings format; never resend the full corpus.

Step 3: Execute the Review Round in the Reviewer Session

  1. Capture the pre-run status snapshot:

    bash
    git status --short > .compozy/tasks/<slug>/qa/peer-review-status-before-roundN.txt
  2. Round 1 — spawn the reviewer session on the chosen substrate and deliver the full prompt:

    • CompozyOS session (canonical):

      bash
      compozy session new --cwd "$PWD" --agent <reviewer-agent> --name spec-review-<slug>   # capture the session id
      compozy session prompt <session-id> "$(cat .compozy/tasks/<slug>/qa/peer-review-prompt-round1.md)"
      compozy session wait <session-id> --until idle --timeout 1800s
    • herdr worker TUI (operator-orchestrated): create a labeled tab, herdr agent start <name> --kind codex --pane <pane> -- --yolo -m <model> -c model_reasoning_effort=<reasoning>, then herdr agent prompt <name> "$(cat …/peer-review-prompt-round1.md)" and wait on done in check-in intervals.

    Round N+1 — continue the same reviewer session: deliver the Step 2.5 continuation prompt (session prompt <session-id> … / herdr agent prompt <name> …).

  3. Capture the post-run status snapshot:

    bash
    git status --short > .compozy/tasks/<slug>/qa/peer-review-status-after-roundN.txt
  4. If the dispatch fails (session refuses the prompt, worker rejects launch flags, wait surfaces an error), fail loudly. Do not retry silently. Inspect the error for model/agent misconfiguration (see Error Handling).

  5. Treat any captured session/worker output log as operational evidence only. Do not parse it for readiness or findings.

  6. Require the findings target file to exist after the round settles. If missing, the round is invalid even when the session settled cleanly.

Step 4: Validate and Summarize Findings

  1. Run the bundled read-only validator:

    bash
    bash .agents/skills/cy-spec-peer-review/scripts/validate-findings.sh --kind spec --round N --path .compozy/tasks/<slug>/qa/peer-review-findings-roundN.md
  2. Manually inspect the findings file and verify the semantic contract:

    • every finding has a real section/path reference;
    • blockers include a rationale tied to project rules, lessons, or architecture constraints;
    • no TBD, placeholder text, invented paths, or stdout-only findings;
    • comparing the pre/post status snapshots shows no changes outside the expected review artifact/log paths.
  3. If validation fails, write .compozy/tasks/<slug>/qa/peer-review-validation-error-roundN.md with the failed checks, command, exit status, and artifact paths. Do not summarize the round as READY.

  4. Write .compozy/tasks/<slug>/qa/peer-review-summary-roundN.md from the validated findings file with:

    • readiness verdict (READY / BLOCKED / NEEDS_REWORK);
    • one-line rationale per blocker;
    • nits list;
    • recommended sections and ADRs likely affected;
    • operational artifact paths.
  5. Present a concise user-facing summary of the review. Include the verdict, blocker/nit counts, the main themes, and the artifact paths written for the round.

  6. Do NOT modify the spec or ADRs yet.

Show full SKILL.md (527 more words)Show less

Step 5: User-Directed Incorporation

  1. Ask the user which findings to incorporate:
    • A) all blockers
    • B) selected blockers/nits
    • C) nothing
    • D) manual edits before any incorporation
  2. Apply only the findings the user selected. Do not silently apply all blockers or all nits.
  3. If incorporation requires an ADR update, update only the ADRs tied to the selected findings.
  4. Record the incorporation decision in .compozy/tasks/<slug>/qa/peer-review-incorporation-roundN.md, listing:
    • incorporated items;
    • deferred items;
    • files changed.
  5. Show the user what changed and what remains deferred.

Step 6: Optional Additional Rounds

  1. Ask whether the user wants another peer-review round or wants to stop with the current saved spec.
  2. If the user requests another round, run Step 2.5 and Step 3 (round N+1) with a fresh roundN+1 artifact set.
  3. If the reviewer session is gone or invalid, follow Error Handling → Reviewer session lost between rounds.
  4. Do not auto-loop. The user explicitly requests further rounds.
  5. When the review program ends (user stops or the final round is incorporated), retire the reviewer session (compozy session stop <session-id> / close the herdr worker tab) after recording anything the registry needs.

Critical Rules

  • This skill never commits, pushes, opens PRs, auto-approves specs, or invokes provider review fetchers.
  • Prompt, event log, findings, summary, incorporation, and status snapshot artifacts are versioned with -roundN. Never overwrite a prior round.
  • The reviewer dispatch is the only place this skill spends external review credit — one prompt per round unless the round is explicitly invalid and the user requests a rerun.
  • The bundled helper paths used by this skill (references/peer-review-prompt.md, references/quality-markers.md, scripts/validate-findings.sh) are read-only templates/helpers — the skill reads or runs them, never edits them during a review round.

Error Handling

  • Model misconfiguration (The model 'X' does not exist): stop and surface the configured model. The reviewer agent definition or worker flags may carry an unavailable name. Preserve an explicitly requested model; correct a stale skill default from the configured runtime when no override was requested. (See docs/_memory/lessons/L-010-model-name-validation.md.)
  • Dispatch substrate unavailable (daemon not running for compozy session, herdr absent for a worker): fail with the start hint (compozy daemon start / herdr status) rather than swallowing.
  • Reviewer session lost between rounds (stopped, daemon restarted, worker retired, corrupted state): note the loss in the round summary, spawn a fresh reviewer with the full round-1 template, and continue the round numbering.
  • Quality markers missing: if the Step 1 quality-marker check fails, do not run the reviewer. Print the missing markers and exit so the user can amend the spec first.
  • Reviewer selection invalid (unknown agent definition or worker kind): list what exists (compozy agent list / herdr-supported kinds) and ask the user to choose — do not fall back.
  • Missing findings file: treat this as an invalid round, not a clean review. Write a validation-error artifact and ask whether to rerun.
  • Malformed findings frontmatter or missing required sections: treat this as an invalid round. Do not infer readiness from stdout.
  • Empty or placeholder findings: treat empty # Blockers or # Nits sections as acceptable only when the section explicitly says None.; reject TBD, TODO, or vague placeholders.
  • Existing peer-review files: never overwrite. Prompt, event log, findings, summary, and incorporation files are all versioned with -roundN.

© compozy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (scripts, references) in .agents/skills/cy-spec-peer-review of compozy/compozy.

  • SKILL.md
  • references/peer-review-prompt.md
  • references/quality-markers.md
  • scripts/validate-findings.sh

Open the folder on GitHubat commit c15729c

Compare with similar skills

Cy Spec Peer Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cy Spec Peer Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cy Spec Peer Review this skillcompozy/compozy2.8k—~3.4kAutomated safety check: PassMIT
Graph EngineerRanteck/graph-engineer105—~16kAutomated safety check: PassMIT
Manuscript ReviewMathews-Tom/armory328—~5.3kAutomated safety check: PassMIT
Peer Reviewspacering-net/codeg3.9k17 repos~5.9kAutomated safety check: NotesMIT
Scholar Evaluationspacering-net/codeg3.9k11 repos~3.2kAutomated safety check: PassMIT
Academic Paper Writing PipelineImbad0202/academic-research-skills51k—~16kAutomated safety check: PassCustom licence

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Questions about Cy Spec Peer Review

What does Cy Spec Peer Review do?

Run a requested external review of an approved Compozy spec; continue follow-ups in the same reviewer session and incorporate only user-selected findings. Cy Spec Peer Review is an agent skill from compozy/compozy. Run a requested external review of an approved Compozy spec; continue follow-ups in the same reviewer session and incorporate only user-selected findings.

When should I use Cy Spec Peer Review?

Cy Spec Peer Review fits situations like: tasks that involve Peer review; tasks that involve Code review.

How do I install Cy Spec Peer Review in Claude Code?

Run `npx skills add compozy/compozy --skill cy-spec-peer-review -a claude-code`. Or copy the skill folder (.agents/skills/cy-spec-peer-review in compozy/compozy) into .claude/skills/cy-spec-peer-review in your project. Claude Code loads it when a task matches its description.

How do I install Cy Spec Peer Review in Codex?

Run `npx skills add compozy/compozy --skill cy-spec-peer-review -a codex`. Or copy the skill folder (.agents/skills/cy-spec-peer-review in compozy/compozy) into .agents/skills/cy-spec-peer-review in your project. Codex loads it when a task matches its description.

Can I use Cy Spec Peer Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add compozy/compozy --skill cy-spec-peer-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cy-spec-peer-review, .gemini/skills/cy-spec-peer-review, .github/skills/cy-spec-peer-review and .opencode/skills/cy-spec-peer-review in your project.

What does Cy Spec Peer Review need to run?

Going by SKILL.md and its folder, Cy Spec Peer Review needs a shell for the scripts in its folder and the command-line tools its instructions call (bash and git). Our summary lists: A Bash shell.

Does Cy Spec Peer Review access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Cy Spec Peer Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Cy Spec Peer Review use?

Cy Spec Peer Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cy Spec Peer Review use?

About 3.4k tokens (SKILL.md is roughly 14k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Cy Spec Peer Review?

Skills that share tags, products or a category with Cy Spec Peer Review: Graph Engineer (Ranteck/graph-engineer, 105 stars), Manuscript Review (Mathews-Tom/armory, 328 stars), Peer Review (spacering-net/codeg, 3.9k stars) and Scholar Evaluation (spacering-net/codeg, 3.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cy Spec Peer Review?

compozy (a GitHub organization) maintains it in compozy/compozy, which has 2,791 GitHub stars. The repository holds 47 skills in this directory. The repository was last updated on October 8, 2026.

Source: compozy/compozy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.