run
Drive the real program to see a change work and capture evidence, for CLIs, TUIs, servers, and browser or Electron apps.
Skill by proguha
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/proguha-run
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
Reviews
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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
- Runs as
- Shell scripts
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/run
What's inside
- Skill name
run- Description
- Drive the real program to see a change work and capture evidence, for CLIs, TUIs, servers, and browser or Electron apps. Use when verifying a change on the running artifact, reproducing a bug on its real surface, or when a playbook names the driver skill and the repo has no project `verify` skill.
- License
- MIT
- Instructions
- 57 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
- Instructions call the network
Files (2)
- SKILL.md
- drive.sh · scripts/
SKILL.md (first lines)
# Run
Prove behavior on the real artifact, the way a user reaches it. A passing build or unit test is an input, not the proof. The deliverable is evidence you captured and read: output with its exit code, a screen capture, a response body, a screenshot you opened.
A project `verify` skill (`.agents/skills/verify/`) outranks this one; it knows the repo's harness. Use this skill when there is none, and consider generating one with **create-verification-skill** when the repo will be driven again.
`scripts/drive.sh` in this skill's directory does the mechanics: tmux sessions for interactive programs, background process groups for servers, and waits that poll with a deadline and print what they last saw. Run it with no arguments for its usage.
## 1. Pick the surface and the launch
Use the repo's documented dev command (package scripts, Makefile, README). Isolate the instance: a fresh port, a temp data directory, a throwaway profile. Never drive the user's own running instance or their real data. Build once before the first drive.
## 2. Drive it
**One-shot CLI.** Run the exact command a user would with `bash`, and keep its output and exit code. Exercise the changed path and the failure path.
**Interactive CLI or TUI.** Host it in tmux, act, and wait for the screen instead of sleeping:
```bash
drive.sh tui-start app -- <command...>
drive.sh tui-wait app '<prompt or screen text>'
drive.sh tui-type app '<text>'; drive.sh tui-keys app Enter
drive.sh tui-wait app '<expected result>'
drive.sh tui-screen app # the evidence
drive.sh tui-stop app
```
Key names follow tmux: `Enter`, `Escape`, `Tab`, `BSpace`, `Up`, `C-c`. A timeout prints the last screen; read it before retrying.
**Server or API.** Start it detached, wait for readiness, drive it with real requests:
```bash
drive.sh bg-start api /tmp/api.log -- <command...>
drive.sh wait-url http://127.0.0.1:<port>/health # or: drive.sh wait-log /tmp/api.log '<ready line>'
curl -sS -i http://127.0.0.1:<port>/<route> # the evidence
drive.sh bg-stop api
```
Many runtimes buffer stdout into a file; run them unbuffered (`python3 -u`, `stdbuf -oL`) when waiting on a log line.
**Browser or Electron app.** Take the first driver that exists:
1. The repo's own end-to-end harness (Playwright, Cypress, WebDriver specs). Run the relevant spec or write a scratch one next to them.
2. A browser MCP server through the `mcp` tool: `mcp({ search: "screenshot" })` or `mcp({ search: "navigate" })` finds it, then `mcp({ tool, args })` drives it.
3. A scratch project with Playwright installed locally, after the user approves downloading the dependency and browser. Run the script with `node` so its `playwright` import resolves from that project's `node_modules`; use that project's Playwright CLI to install Chromium if needed. For Electron, launch through Playwright's `_electron` API or start the app with `--remote-debugging-port` and connect over CDP.
Select elements by stable handles: roles and accessible names, labels, `data-*` attributes, visible text. Save screenshots to a temp path and open each with `read`, which displays images, before drawing a conclusion from it.
## 3. Report the evidence
For every behavior claimed, give the command or action, then what was observed: the output excerpt and exit code, the screen text, the response status and body, or the screenshot path you viewed. A bug fix shows the failing observation before the change and the passing one after, on the same surface. When the surface cannot be driven here (hardware, a paid service, missing credentials), say exactly what blocked it and hand the user one concrete manual check.
## 4. Clean up
Stop every tmux session and background process you started (`tui-stop`, `bg-stop`), and remove scratch data and scripts outside the repo's own test tree. Leave nothing listening.From proguha/pstack-pi, MIT.
More from proguha/pstack-pi
- 0.566score
skill-development
proguha
Create, edit, or tune a Pi skill (a SKILL.md directory).
SkillAFreshness: AClaude Code +9 - 0.565score
babysit
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Watch an open PR — fix failing CI, handle the straightforward review comments, and drive it to a mergeable state.
SkillAFreshness: AClaude Code +9 - 0.557score
setup-pstack
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Configure which models pstack uses per role.
SkillAFreshness: AClaude Code +9 - 0.544score
create-verification-skill
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Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform.
SkillAFreshness: AClaude Code +9 - 0.541score
interrogate
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Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".
SkillAFreshness: AClaude Code +9 - 0.539score
automate-me
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Use for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how…
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how
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Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which…
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 30, 2026 (29 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/proguha/pstack-pi
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from proguha
- 0.566score
skill-development
proguha
Create, edit, or tune a Pi skill (a SKILL.md directory).
SkillAFreshness: AClaude Code +9 - 0.565score
babysit
proguha
Watch an open PR — fix failing CI, handle the straightforward review comments, and drive it to a mergeable state.
SkillAFreshness: AClaude Code +9 - 0.557score
setup-pstack
proguha
Configure which models pstack uses per role.
SkillAFreshness: AClaude Code +9 - 0.544score
create-verification-skill
proguha
Generate a project-local verification skill that drives your app the way a user does — any language, framework, or platform.
SkillAFreshness: AClaude Code +9 - 0.541score
interrogate
proguha
Use for "interrogate", "adversarial review", "multi-model review", "challenge this", "stress test this code", "find blind spots", or "tear this apart".
SkillAFreshness: AClaude Code +9 - 0.539score
automate-me
proguha
Use for "automate me", "create/update/refresh my -mode skill", "turn/capture my preferences or working style into a skill", or wanting agents to follow how…
SkillAFreshness: AClaude Code +9
Cite this page
run skill. Agent Mart. https://agentmart.dev/skills/proguha-run (last updated 2026-10-24)