Claude Code, Codex, Copilot, Pi, OpenCode, Gemini, and Prime Agent versions of Poteto's pstack. Rigorous agent workflows with Cursor primitives translated for other harnesses.
# Add to your Claude Code skills
git clone https://github.com/michael-denyer/pstack-claudeGuides for using ai agents skills like pstack-claude.
Last scanned: 9/17/2026
{
"issues": [
{
"file": "plugins/pstack/skills/automate-me/SKILL.md",
"line": 70,
"type": "dangerous-command",
"message": "Dangerous command (writes to Claude config): \">-mode/SKILL.md` in the project (or `~/.claude/\"",
"severity": "medium"
}
],
"status": "PASSED",
"scannedAt": "2026-09-17T09:13:48.779Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how pstack-claude compares with popular alternatives.
pstack-claude is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by michael-denyer. Claude Code, Codex, Copilot, Pi, OpenCode, Gemini, and Prime Agent versions of Poteto's pstack. Rigorous agent workflows with Cursor primitives translated for other harnesses. It has 1,614 GitHub stars.
Yes. pstack-claude passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/michael-denyer/pstack-claude" and add it to your Claude Code skills directory (see the Installation section above).
pstack-claude is primarily written in JavaScript. It is open-source under michael-denyer on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh pstack-claude against similar tools.
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⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
Lauren Tan's pstack is an opinionated Cursor skill stack that improves agent outcomes. This is a port for Claude Code, Codex, Pi, GitHub Copilot and other agent harnesses. It tracks upstream and also carries named policy forks, each declared in tools/forks.json.
Tell poteto-mode your goal and it will invoke the correct workflow for the task. It keeps your code concise, simple and verified.
For concurrency bugs and invariants that tests cannot reach, see the separate agent-formal-verify plugin, which adds TLA+ model checking and Lean proofs.
Run in Claude Code:
/plugin marketplace add michael-denyer/pstack-claude
/plugin install pstack@pstack-claude
Run in your terminal:
codex plugin marketplace add michael-denyer/pstack-claude
codex plugin add pstack@pstack-claude
Run in your terminal:
pi install git:github.com/michael-denyer/pstack-claude
The package loads the skills and the pstack Pi extension, which adds the subagent, question, and wake-up tools the skills use, plus /loop and the routing instruction. Invoke a skill with /skill:<name>.
Run in your terminal:
copilot plugin marketplace add michael-denyer/pstack-claude
copilot plugin install pstack@pstack-claude
This installs pstack for the Copilot CLI and the GitHub Copilot app, which share ~/.copilot. Start a new session afterwards. Copilot ships no default pstack models, so the first skill that needs one runs setup-pstack to pick from the models your account lists, and later sessions reuse that choice.
The Copilot build is tested on Copilot CLI 1.0.87 through 1.0.92. On those versions the routing hook's context reaches the session alongside other plugins' session-start context. If a later version keeps only one plugin's context, setup-pstack offers a standing instruction for ~/.copilot/copilot-instructions.md instead. On 1.0.92, once the CLI caches its computer-use experiment assignment, copilot -p sessions list no plugin skills and a skill call returns "Skill not found". Interactive sessions, the hooks, and the agents are unaffected.
Run setup-pstack to change model defaults, set a reasoning effort per role (for example arena runners: opus @xhigh, fable @max, which Claude Code dispatches through the plugin's pstack:effort-<level> or pstack:poteto-agent-<level> agents; roles without a level keep the session's effort unless the sheet's default effort line names one), or turn automatic routing off. The plugin installs the routing hook on Claude Code, Codex, and GitHub Copilot; Codex asks you to trust it through /hooks before it runs. On Pi the extension injects the same routing instruction. In Claude Code and the Copilot CLI, use /pstack:setup-pstack.
For Prime Agent, OpenCode, Gemini CLI, or skills-only installs for any harness, see shared installation.
Use poteto-mode to fix the search filter resetting when I change pages.
For a bug, it reproduces the failure, uses how and why to investigate, delegates the fix, then reruns the failing case. If the fix crosses a function boundary, it brings in architect before implementation. You receive the fix and the failing and passing evidence.
Other playbooks cover planning, features, refactoring, performance issues, investigations, prototypes, PR maintenance, shipping, and longer projects.

pstack has no server or telemetry. Anything its skills ask your agent to read, including session transcripts, goes to your model provider. Scripts run locally, and PR tools use your GitHub CLI login.
Thanks for helping make this port better. Bug reports, documentation fixes, and runtime improvements are welcome. See CONTRIBUTING.md for the checks and where your change belongs. Report vulnerabilities privately as described in SECURITY.md.
To support maintenance of this port, buy the maintainer a coffee.
This port, including its modifications and additions, is also MIT-licensed, © 2026 Michael Denyer. Original pstack © 2026 Lauren Tan; imported cursor-team-kit skills © 2026 Cursor. See LICENSE-cursor-team-kit and NOTICE.md.