long-running-tasks
Manage long-running commands and multi-step work in Codex.
Skill by jajupmochi
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/jajupmochi-long-running-tasks
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: backend, productivity, agent-building
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/long-running-tasks
What's inside
- Skill name
long-running-tasks- Description
- Manage long-running commands and multi-step work in Codex. Use when a task may exceed normal turn time, needs a dev server, watcher, training run, crawl, benchmark, or repeated polling.
- License
- MIT
- Instructions
- 23 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# long-running-tasks Read `../general/long-running-tasks/SKILL.md` for the original policy, then use these Codex mappings: - Claude background Bash -> Codex background `exec_command` session. - Claude Monitor -> periodic `write_stdin` polling or explicit status command. - Claude subagent -> Codex subagent only if available and useful; otherwise use a focused plan and background terminal. - Claude "ask before long run" -> Codex approval when the run needs network, writes outside the workspace, high cost, or destructive side effects. Workflow: 1. Estimate duration and side effects. 2. For commands expected to run longer than a normal tool call, start them in a background session and keep the session id. 3. Poll at reasonable intervals. Do not spam the transcript with full logs. 4. Stop or clean up sessions that are no longer needed before final response. 5. If a task is too large for one run, leave a concrete continuation state: current command, session id, last observed output, and next check.
From jajupmochi/agent-harness, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 8, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/jajupmochi/agent-harness
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
long-running-tasks skill. Agent Mart. https://agentmart.dev/skills/jajupmochi-long-running-tasks (last updated 2026-10-24)