pstack-review
Review a branch, working diff, or named files for reachable defects and missing behavioral coverage.
Skill by MachineLearning-Nerd
Chalk Labs
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Install
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.
npx agentmarket install skill/machinelearning-nerd-pstack-review
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: testing
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/pstack-review
What's inside
- Skill name
pstack-review- Description
- Review a branch, working diff, or named files for reachable defects and missing behavioral coverage. Produces a read-only review with evidence.
- License
- MIT
- Instructions
- 19 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Code review Read ../pstack-harness/SKILL.md and ../interrogate/SKILL.md. Establish the exact artifact and base before reviewing. For a working tree, include tracked and untracked files relevant to the request. Identify changed contracts and callers. Do not checkout, stage, fix, commit, or publish anything in a review request. Use independent reviewers when available, one bounded review per configured `interrogate reviewers` arm. Every arm receives the same artifact and scope, with its own context and inherits the current chat's model. Label the panel independent same-model review; do not claim model diversity. Consolidate findings, confirm reachable behavior against source or a safe repro, and reject speculation. A command failure or missing tool is not a clean verdict. Lead with concrete defects in priority order, citing files and symbols, the trigger, impact, and missing test. Note disagreements and remaining uncertainty. If no supported finding remains, say so and identify material coverage limits.
From MachineLearning-Nerd/pstack-dual, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 11, 2026 (22 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from MachineLearning-Nerd
- 0.567score
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Adapt pstack delegation, role configuration, skill paths, verification, and session handling to Claude Code or Codex.
SkillAFreshness: AClaude Code +9 - 0.561score
how
MachineLearning-Nerd
Explain a subsystem's behavior from source, callers, data structures, and runtime evidence.
SkillAFreshness: AClaude Code +9 - 0.561score
setup-pstack
MachineLearning-Nerd
Check pstack installation and configure role effort and panel size for Codex and Claude Code.
SkillAFreshness: AClaude Code +9 - 0.561score
poteto-help
MachineLearning-Nerd
Explain how to install, configure, or choose a pstack workflow in Claude Code and Codex.
SkillAFreshness: AClaude Code +9 - 0.561score
interrogate
MachineLearning-Nerd
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SkillAFreshness: AClaude Code +9 - 0.556score
create-skill
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Author or update a portable pstack skill with precise triggers, self-contained resources, and realistic behavioral verification.
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Done for you
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Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
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Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
pstack-review skill. Agent Mart. https://agentmart.dev/skills/machinelearning-nerd-pstack-review (last updated 2026-10-24)