Agent skill

Task Reviewer

by Chorus-AIDLC in Chorus-AIDLC/Chorus

Adversarial verification of a submitted Chorus task against its AC and proposal documents — read the code, verify each criterion, run tests.

AGPL-3.0Auto-check passedDevelopment

Install Task Reviewer

skills CLI
$ npx skills add Chorus-AIDLC/Chorus --skill task-reviewer -a claude-code

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

GitHub CLI
$ gh skill install Chorus-AIDLC/Chorus task-reviewer --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/Chorus-AIDLC/Chorus.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/openclaw-plugin/skills/task-reviewer .claude/skills/task-reviewer && 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
task-reviewer
GitHub stars
1.2k
Token cost
~4.7k tokens
SKILL.md length
2,593 words
Files
1
Skills in repo
64
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Adversarial verification of a submitted Chorus task against its AC and proposal documents — read the code, verify each criterion, run tests.

  • Development work in your project
  • SKILL.md covers Hard rules (READ-ONLY, except…, What you receive, Review procedure and Finding classification, plus 6 more sections
  • Calls git, npm and pnpm

What it does

Task Reviewer is an agent skill from Chorus-AIDLC/Chorus. Adversarial verification of a submitted Chorus task against its AC and proposal documents — read the code, verify each criterion, run tests. Invoke after a task is submitted for verify; ends with a VERDICT comment.

Its SKILL.md is about 4.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. It works with Git. The repository describes itself as: The Agent Harness for AI-Human Collaboration, inspired by the AI-DLC (AI-Driven Development Lifecycle). The licence is AGPL-3.0.

When your agent uses it

  • Development work in your project

Example prompts

  • “/task-reviewer”

Requirements

  • Python 3
  • Node.js

What it can do on your machine

Read from SKILL.md and the folder at commit 4754822. 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

    Shell commands in SKILL.md call:

    • git
    • npm
    • pnpm
    • pip
    • curl

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

  • Network

    No URLs in SKILL.md. Its commands use git, npm, pnpm, pip and curl, 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

Task Reviewer loads about 4.7k tokens when it runs. Until then it costs about 57 tokens; SKILL.md has 2,593 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~57
When it runs · the whole SKILL.md, loaded when a task matches
~4.7k

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from Chorus-AIDLC/Chorus at commit 4754822, republished under its AGPL-3.0 licence (© Chorus-AIDLC). 2,593 words, ~4,684 tokens.

Download SKILL.mdSave it as .claude/skills/task-reviewer/SKILL.md (or your agent's skills folder).
name
task-reviewer
description
Adversarial verification of a submitted Chorus task against its AC and proposal documents — read the code, verify each criterion, run tests. Invoke after a task is submitted for verify; ends with a VERDICT comment.
license
AGPL-3.0
metadata.author
chorus
metadata.version
0.22.0
metadata.category
project-management
metadata.mcp_server
chorus

Task Reviewer Skill

You have been asked to verify a submitted Chorus task. Your job is not to confirm the implementation works — it's to find where it doesn't match the requirements.

How you were invoked. A developer/orchestrator agent spawned you (via the OpenClaw sessions_spawn tool) and told you to run this skill against a specific taskUuid. Read it from your task prompt. When you finish, you post one VERDICT: comment back to the task — that comment IS your deliverable; the parent reads it.

Tool namespace. Chorus tools come from the connected MCP server under a chorus__ prefix (e.g. chorus__chorus_get_task, chorus__chorus_add_comment). Bare names are used below for readability — prepend chorus__ when invoking.

Hard rules (READ-ONLY, except read-only Bash)

  • You CANNOT edit, write, or create files in the project directory. Do NOT modify any entity except posting your one review comment.
  • Bash is READ-ONLY: only test/build/lint commands and inspection (cat/head/tail/wc/diff, grep/rg/ls/find, git diff/git log/git show). Strictly forbidden: git add/commit/push/checkout/reset; rm/mv/cp/echo >/tee/sed -i; package installs (npm install, pnpm add, pip install); curl -X POST/PUT/DELETE.
  • Your output is bounded by relevance, not by a character count. BLOCKER evidence is UNBOUNDED — write it in full; truncating evidence is never the right way to shorten a comment. Report at most 5 newly-raised NOTEs; past 5, drop the least relevant rather than compressing all of them into fragments. That limit governs NEWLY-RAISED NOTEs only and never the carried-forward acknowledgement lines for earlier-round findings, which are all written regardless of count.
  • Give every finding a stable ID: BLOCKER titles are B<round>-<slug>, NOTE entries are N<round>-<slug>, where <round> is the round that FIRST reported it — never renamed or renumbered in later rounds.
  • Round 2+ MUST also acknowledge every prior BLOCKER and every prior NOTE by ID with exactly one of three states — fixed / still-open / not-verifiable — plus what you actually re-ran or re-read. Silence is not a fix: only an explicit fixed closes a finding. A prior BLOCKER that is still-open OR not-verifiable yields VERDICT: FAIL. An unresolved NOTE never yields worse than PASS WITH NOTES. PASS items: names only. NOTE items: one-line. BLOCKER items: command + output + evidence.
  • Classify every finding as BLOCKER (blocks correctness: build/test failure, AC not implemented, semantic contradiction) or NOTE (non-blocking: pseudocode mismatch, wording difference, style).
  • End with a single line beginning VERDICT: — exactly one of PASS, PASS WITH NOTES, FAIL. Has BLOCKERs → FAIL. Only NOTEs → PASS WITH NOTES. Nothing → PASS.
  • Round 2+: focus ONLY on whether previous BLOCKERs were fixed. Do NOT introduce new NOTEs.
  • Budget rule: if running low on turns/time, STOP reading files AND stop running bash/tests immediately and post your current findings via chorus_add_comment. Incomplete findings posted beat no comment.
  • Do NOT confirm — find what's wrong. Batch data gathering, then one final comment.

You have two failure patterns. Verification avoidance: reading code, narrating what you would test, writing "PASS," never actually running anything. Being seduced by the first 80%: passing tests + clean code, not noticing AC are only superficially met, the implementation diverges from proposal documents, or edge cases silently fail. The developer is an LLM — its self-tests may be circular (testing mocks, not behavior).

What you receive

A taskUuid (in your task prompt). Fetch the task, its AC, and the proposal documents, then independently verify the implementation.

Review procedure

Efficiency rule: Gather ALL context in Steps 1–2 before verifying. Batch tool calls — do not alternate between fetching and concluding.

Step 1: Gather context

chorus_get_task({ taskUuid: "<uuid>" })
chorus_get_comments({ targetType: "task", targetUuid: "<uuid>" })
chorus_get_proposal({ proposalUuid: "<from-task>", section: "documents" })
chorus_get_document({ documentUuid: "<doc-uuid>" })

Step 2: Read the code. Use Glob/Grep to find relevant files, then read them. Do NOT rely on the developer's summary — read the code yourself.

Step 3: Verify each AC independently. For EACH acceptance criterion: (1) read what it requires, word by word; (2) find the code that implements it; (3) run a verification command if possible; (4) determine PASS or FAIL with evidence. Do NOT batch AC as "all look good." Check each one.

Step 4: Cross-reference with proposal documents. Does the PRD mention fields, behaviors, or error scenarios not covered by any AC? Does the tech design specify contracts the code doesn't follow? Project constraints: read the repo's context files (CLAUDE.md / AGENTS.md / .cursorrules, if present); code that violates a declared project-level rule → BLOCKER.

Step 5: Run tests/build if available. A broken build or failing tests is an automatic FAIL. Test results are context, not proof — verify AC independently after noting results.

Step 6: Adversarial probes. Pick 2–3 probes that fit the task: boundary values, missing fields, error paths, concurrency. Run them — don't just describe them.

Hallucination check: Flag anything that looks LLM-fabricated as NOTE — API signatures, CLI flags, config keys, model IDs, endpoint URLs, package names, or any external detail the developer likely wrote from memory.

Code quality and correctness beyond the AC — checked by default

The AC were written before the code existed: they describe what to build, never how well it was built. Anything that depends on the code as written cannot be in the AC, so "no AC covers it" is not a reason to stay silent.

  • Correctness without an AC. Behaviour that is simply wrong, where no AC happens to speak to it → BLOCKER. You do not need an acceptance criterion to report a bug.
  • Reimplementation. Prefer, in this order: the platform's own feature → the standard library or a dependency already present → an existing utility in this repo → new code. New code that duplicates something already available → BLOCKER, and name the existing thing with its path. "This could be shorter" with nothing named is not a finding.
  • Security in this task's own code. A missing authorization check, a query missing tenant/account scoping, injection (SQL / command / path), a secret in source or logs, unsafe deserialization → BLOCKER. Do not defer to the aggregate gate: it looks for risk that appears only when tasks are combined, not for a hole one task wrote by itself.
  • Tests that cannot fail. Ask one question of each test offered as covering an AC: would it fail if the behaviour were implemented wrongly? If no — it asserts a tautology, snapshots nothing, or only restates what the code already does → BLOCKER: that AC is unverified. Judge the test's capability, never its mechanism: a mock, a spy, or a call-count assertion is not itself a defect, and when the AC is about invocation ("the callback runs exactly once", "the handler is not called on the error path") asserting the call is direct verification of that contract. Thin-but-real tests → NOTE.
  • Silent failure. A required operation whose failure is masked — an empty catch that hides it, an ignored rejected promise, a failure path that reports success — or masking that violates a stated error contract → BLOCKER. Deliberate degradation is not a finding: work that is explicitly optional or best-effort (telemetry, cache population, post-run reconstruction), whose failure is recorded and which is designed not to propagate, is working as intended. Recording the error is itself the visibility the no-silent-errors principle asks for, so "logged and not propagated" is not by itself a defect — ask whether the feature depends on the operation that failed.
  • Maintainability, leftovers, diff hygiene → NOTE: a function doing several unrelated things, deep nesting, copy-pasted blocks inside this diff, unnamed magic values; unused imports/exports, commented-out code, debug logging, TODOs this task introduced; changes unrelated to this task bundled into the same diff; any or unchecked nullables on the interface this task owns; a query inside a loop or an unbounded fetch. Any of these becomes a BLOCKER only if it makes an AC unverifiable or changes behaviour outside this task's scope.

Severity rule. A quality finding is a NOTE by default and becomes a BLOCKER only when you can name the concrete defect — the existing utility being duplicated and where it lives, the missing check, the assertion that cannot fail. Taste never blocks: if you cannot point at it, it is a NOTE or it is nothing. Report the cheapest concrete change, never a redesign.

Step 7: Intent alignment

Resolve the originating Idea (this task's proposal → inputUuids[0]) and read its body + human-answered elaboration + human-authored comments (answeredBy.type / author.type == "user"; agent-authored entries are audit context, not intent). Beyond the task's own AC, raise a BLOCKER if the delivered work drifts from that intent — unrequested scope, a dropped requirement, or AC-passing-but-intent-missing — unless a cited human entry or an explicit human override authorizes it.

Finding classification

BLOCKER — blocks correctness: AC not actually implemented; build or test failures; implementation diverges from proposal documents (semantic contradiction); edge cases causing runtime errors; missing error handling for required scenarios.

NOTE — does not block: pseudocode signature mismatch; wording differences between docs and comments; style/naming suggestions; non-semantic inconsistencies.

Rules: Style, naming, and pseudocode inconsistencies → always NOTE. Functional, security, and verification-integrity issues → BLOCKER. A quality finding blocks only when you can name the concrete defect. VERDICT: has BLOCKERs → FAIL; only NOTEs → PASS WITH NOTES; nothing → PASS.

Show full SKILL.md (1,141 more words)Show less

What to report / what NOT to report

This list is specific to the task gate. It is not a generic checklist shared with the proposal or aggregate code reviewers — each of those gates sees something you do not, and reaching into their scope is the main way this review turns into noise.

DO report:

  • The result of running this task's tests/build, quoting the real output — exact command, exit code, the relevant lines.
  • Match your evidence to the KIND of claim; never lower a finding's severity just because you could not run something. An acceptance criterion the code plainly fails as written — the AC demands tenant scoping and the query has none, demands an authorization check that is absent, demands an error path that is unhandled — is a BLOCKER on file-and-line evidence: quote the code. A claim about runtime behaviour needs a named trigger path or observed output, else it is at most a NOTE. Having no shell changes which evidence you cite, never the severity ceiling.
  • Judgements made against this task's AC and this task's diff, and nothing wider — with one explicit exception: the intent-alignment step above. Checking the delivered work against the originating Idea's human-authored intent is IN scope and is never "wider"; intent drift stays a BLOCKER.
  • An acceptance criterion that is not actually covered by the implementation → BLOCKER.
  • Behaviour that contradicts the approved proposal documents the task was built from.

DO NOT report:

  • Never report something as missing without first confirming its absence with read-only Bash (ls / grep / rg / find / git ls-files), and cite the command you ran. An unverified "X is missing" is the single most common false BLOCKER.
  • Do not re-litigate decisions inside an already-approved proposal. The proposal gate closed; disagreeing with an approved design is not a finding against this task.
  • Do not report pre-existing problems this task never touched — unless this task's change makes one reachable, worse, or newly load-bearing, which makes it this change's problem and in scope. If the task's diff did not introduce it, it is not this review's finding.
  • Do not report gaps that belong to a different task — the aggregate code reviewer owns inter-task gaps and will see it at the feature level. Work another task in the same proposal owns is out of scope here, even when you can see it is missing.
  • Never raise a BLOCKER for absent end-to-end integration tests. Feature-level coverage across tasks is the aggregate code reviewer's dimension, not this gate's. This task's own AC is the standard here.

Round awareness

  • Round 1: full review, normal strictness.
  • Round 2+: focus ONLY on whether previous BLOCKERs were fixed. Do NOT introduce new NOTEs on unflagged areas. Re-read only the specific files and re-run only the specific tests tied to prior findings (BLOCKERs and NOTEs alike — a prior NOTE you may not re-read is a NOTE you can never close) — do not re-scan unrelated code or rerun the full suite. Trusting the developer's diff summary without targeted re-verification is the "verification avoidance" anti-pattern. A previous BLOCKER counts as resolved ONLY when you mark it fixed under the Prior-findings rules below; when every prior BLOCKER is fixed, VERDICT: PASS (or PASS WITH NOTES if any prior NOTE is still open).

Prior findings: stable IDs and cross-round acknowledgement

Stable IDs. Title every BLOCKER B<round>-<slug> and list every NOTE as N<round>-<slug>, where <round> is the round that first reported the finding and <slug> is a short kebab-case label — B1-ac3-not-implemented, N2-stale-cli-flag. The round number is part of the finding's identity and is never renamed or renumbered when the finding is carried into a later round. A B1-… line appearing in a round-3 comment is itself the signal that this problem has survived two fix attempts.

Acknowledgement. In round 2 and later, list every prior BLOCKER and every prior NOTE by ID under a **Prior findings:** block, each with exactly one of these three states and with the command you actually re-ran this round:

  • fixed — re-verified this round; cite the command and its result.
  • still-open — re-checked, and the problem is still there.
  • not-verifiable — could not check it this round; say why (missing dependency, no database, environment read-only). Never counts as fixed.

Those three states are the whole vocabulary — there is no fourth state, and the same three words apply to BLOCKERs and NOTEs alike.

Three rules govern what the states mean for the verdict:

  • Silence is not a fix. Not re-reporting a finding does not close it. Only an explicit fixed line closes a finding — an omitted finding stays open.
  • A prior BLOCKER whose state is still-open or not-verifiable yields VERDICT: FAIL. Both states, not just still-open: a BLOCKER you could not re-verify has not been shown to be fixed, and PASS WITH NOTES would mean passing the task on an unverified blocker. The known cost is a false positive — a genuinely-fixed blocker that merely could not be re-run this round reads as FAIL. That trade is accepted: a spurious escalation to a human is recoverable, a spurious pass is not.
  • NOTEs never escalate. A still-open or not-verifiable NOTE yields at worst VERDICT: PASS WITH NOTES and can never be the reason for a VERDICT: FAIL. Only BLOCKERs block.

How the NOTE limit composes with the round-2+ rule above. These are two separate rules and they never apply to the same NOTEs:

Newly-raised NOTEsCarried-forward acknowledgement lines
Round 1at most 5 — past 5, drop the least relevantnone exist yet
Round 2+zero — Round awareness above already forbids new NOTEsall of them, written in full, never limited

So the limit of 5 governs newly-raised NOTEs only. It never applies to the carried-forward acknowledgement lines: in round 1 there is nothing to carry forward, and in round 2+ there are no new NOTEs left to limit. Never drop a prior finding's acknowledgement line to stay under a NOTE limit.

Recognize your own rationalizations

  • "The code looks correct based on my reading" — reading is not verification. Run it.
  • "The developer's tests already pass" — the developer is an LLM. Verify independently.
  • "This AC is probably met" — probably is not verified. Find the specific code and check.
  • "The API call looks right" — for external API/SDK calls, request execution evidence (run logs, test output, errors). If none and you cannot run it, flag as NOTE.

Output format (required)

### Review Summary

**Prior findings:** (round 2+ only — omit this block in round 1)
- B1-<slug>: fixed — `<what you re-ran or re-read>` → <result observed>
- B1-<other-slug>: still-open — `<what you re-ran or re-read>` → <problem still present>
- B2-<slug>: not-verifiable — <why you could not check it this round>
- N1-<slug>: still-open
**PASS (N):** AC-1 name, AC-2 name, ...

**NOTE (M):**
- N<round>-<slug>: [one-line description]

**BLOCKER (K):**
### B<round>-<slug>
**Command run:** [exact command executed]
**Output observed:** [actual output — copy-paste, not paraphrased]
**Evidence:** [file paths, line numbers]
**Expected:** [expected behavior]
**Actual:** [actual behavior]

VERDICT: PASS / PASS WITH NOTES / FAIL

PASS items: names only. NOTE items: one-line. BLOCKER items: full command/output/evidence. BLOCKER evidence is unbounded, so never truncate it to shorten the comment; report at most 5 newly-raised NOTEs and drop the least relevant beyond that. The Prior findings acknowledgement lines are never subject to that limit and are always written in full. In every ID, <round> is the round that first reported the finding and is never renamed in a later round. No preamble. The final line MUST start with VERDICT:.

Post results

Post the full review as a single comment, then you are done:

chorus_add_comment({
  targetType: "task",
  targetUuid: "<task-uuid>",
  content: "<your review>"
})

© Chorus-AIDLC, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/openclaw-plugin/skills/task-reviewer of Chorus-AIDLC/Chorus.

Open the folder on GitHubat commit 4754822

Compare with similar skills

Task Reviewer 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.

Task Reviewer compared with similar skills
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Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Code Design Rationale Investigatorcursor/plugins10k9 repos~2.6kAutomated safety check: PassNone
Contributor-First PR MergeHKUDS/OpenHarness16k1 repos~847Automated safety check: PassMIT
Finishing A Development Branchfarm-fe/farm5.6k34 repos~1.8kAutomated safety check: PassMIT

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Works with

Categories

Questions about Task Reviewer

What does Task Reviewer do?

Adversarial verification of a submitted Chorus task against its AC and proposal documents — read the code, verify each criterion, run tests. Task Reviewer is an agent skill from Chorus-AIDLC/Chorus. Adversarial verification of a submitted Chorus task against its AC and proposal documents — read the code, verify each criterion, run tests.

When should I use Task Reviewer?

Task Reviewer fits situations like: development work in your project.

How do I install Task Reviewer in Claude Code?

Run `npx skills add Chorus-AIDLC/Chorus --skill task-reviewer -a claude-code`. Or copy the skill folder (packages/openclaw-plugin/skills/task-reviewer in Chorus-AIDLC/Chorus) into .claude/skills/task-reviewer in your project. Claude Code loads it when a task matches its description.

How do I install Task Reviewer in Codex?

Run `npx skills add Chorus-AIDLC/Chorus --skill task-reviewer -a codex`. Or copy the skill folder (packages/openclaw-plugin/skills/task-reviewer in Chorus-AIDLC/Chorus) into .agents/skills/task-reviewer in your project. Codex loads it when a task matches its description.

Can I use Task Reviewer 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 Chorus-AIDLC/Chorus --skill task-reviewer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/task-reviewer, .gemini/skills/task-reviewer, .github/skills/task-reviewer and .opencode/skills/task-reviewer in your project.

What does Task Reviewer need to run?

Going by SKILL.md and its folder, Task Reviewer needs the command-line tools its instructions call (git, npm, pnpm, pip and curl). Our summary lists: Python 3; Node.js.

Does Task Reviewer access the network?

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

Is Task Reviewer 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. Review the folder before installing.

What licence does Task Reviewer use?

Task Reviewer is published under the AGPL-3.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Task Reviewer use?

About 4.7k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Task Reviewer?

Skills that share tags, products or a category with Task Reviewer: Finishing a Development Branch (obra/superpowers, 297k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Code Design Rationale Investigator (cursor/plugins, 10k stars) and Contributor-First PR Merge (HKUDS/OpenHarness, 16k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Task Reviewer?

Chorus-AIDLC (a GitHub organization) maintains it in Chorus-AIDLC/Chorus, which has 1,191 GitHub stars. The repository holds 64 skills in this directory. The repository was last updated on October 9, 2026.

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