brutal-project-review
Systematically review a project subsystem-by-subsystem with resumable state tracking.
Skill by sssemil
Chalk Labs
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/brutal-project-review
What's inside
- Skill name
brutal-project-review- Description
- Systematically review a project subsystem-by-subsystem with resumable state tracking. Creates CRITICAL/MAJOR finding tasks through the work store resolved from BRUTAL.md.
- License
- MIT
- Instructions
- 76 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- openai.yaml · agents/
SKILL.md (first lines)
# Brutal Project Review
Review the project one subsystem at a time and persist actionable CRITICAL/MAJOR
findings through the configured work-store adapter.
## Required Context
1. Read `../brutal-shared/integration-resolver.md`.
2. Resolve the work store and load its support module before initializing state
or creating findings.
3. Read repo rules from `AGENTS.md`, `CLAUDE.md`, `TARGET.md`, and referenced
workflow docs.
4. If `BRUTAL.md` is missing or incomplete, follow the integration setup flow.
## State Rules
- The local adapter uses its configured review-state path and local tasks.
- Remote adapters use `.brutal-workspace/review-state/` only for resumable local
review state. Exclude `.brutal-workspace/` through `.git/info/exclude` before
writing it and never create local work-store artifacts.
- Preserve legacy manifest fields when resuming older runs, but write new
entries with adapter-neutral keys where practical:
`work_store`, `work_store_project`, `parent_ref`, `findings_created`.
## Workflow
1. Resolve or initialize the review manifest.
2. Discover subsystems dynamically from behavior-defining files. Exclude
generated/vendor/build folders. Normalize ids as `01`, `02`, etc.
3. Show the subsystem table and ask what to review: id/name/path, `all`,
`pending`, `restart`, or `cancel`.
4. For each selected subsystem:
- mark it `in_progress`
- gather relevant code, tests, migrations, APIs, configs, SQL, TOML, and docs
- write temporary context under the resolved review-state directory
- launch five reviewers when available: core correctness, reliability/tests,
maintainability, performance/security, and simplification
- synthesize, dedupe, validate, and severity-check findings
- write the subsystem report
- delete temporary context before stopping or reporting
5. Only create persisted work for validated `CRITICAL` and `MAJOR` findings by
default.
## Finding Persistence
Use deterministic fingerprints:
```text
<subsystem-id>|<canonical-file>|<line-or-symbol>|<severity>|<normalized-title>
```
Before creating a finding, search existing state and work-store artifacts for the
same fingerprint and these legacy source markers:
```markdown
Source: brutal-project-review
Legacy sources: brutal-project-review, linear-brutal-project-review, gitlear-brutal-project-review
```
Create/update `type:review-finding` artifacts through the work-store adapter in
its logical `todo` state, add progress to the parent when one exists, and append
stable refs to the review manifest. Follow provider-specific read fallbacks and
prepare-before-create rules from the support module.
Finding bodies must include severity, subsystem, file/line, fingerprint,
confidence, issue explanation, suggested fix, acceptance criteria, implementation
notes, dependencies, and verification commands.
## Final Response
Lead with findings by severity. Include work store, created/updated finding refs,
manifest path, parent ref, reviewed subsystem count, remaining subsystem count,
and recommend `$brutal-swarm` for parallel fixes or `$brutal-worker` for one
exact finding.From sssemil/SKILLS, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 22, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sssemil/SKILLS
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from sssemil
- 0.512score
design-jepa-models
sssemil
Design, review, prototype, and evaluate JEPA models, joint-embedding predictive architectures, V-JEPA/I-JEPA-style representation learners, action-conditioned…
SkillCFreshness: C★ 2Claude Code +9 - 0.509score
brutal-pr-review
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Review an open pull request with Brutal multi-perspective scrutiny, snapshot-safe BRUTAL.md context, and provider-native findings.
SkillCFreshness: C★ 2Claude Code +9 - 0.509score
brutal-swarm
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Drain a BRUTAL.md task graph through parallel isolated workers and stacked pull requests.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
brutal-grill
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Repo-grounded requirements interrogation that resolves related planning decisions in batched rounds.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
brutal-plan
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Orchestrate repo-grounded grilling, specification review, cohesive ticket design, and work-store publication.
SkillCFreshness: C★ 2Claude Code +9 - 0.507score
brutal-pr-fix-loop
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Run a bounded provider-neutral pull-request review and finding-fix loop for up to three passes.
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Cite this page
brutal-project-review skill. Agent Mart. https://agentmart.dev/skills/sssemil-brutal-project-review (last updated 2026-10-24)