longgraph-skill: Long-horizon agent skill for Claude Code / Cursor / Codex / Grok Build

by levi-qiao · Claude Skill · ★ 78

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install longgraph-skill

/plugin marketplace add levi-qiao/longgraph-skill
/plugin install longgraph@longgraph-skill

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 63/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-graphagent-skillsagentic-workflowai-agentsautomationclaude-codeclaude-code-pluginclaude-code-skillscodexcursor

Quick Facts

Stars78
Forks10
LanguageShell
CategoryClaude Skill
LicenseMIT
Quality Score63/100
Last Updated2026-09-23
Created2026-07-19
Platformsclaude-code, cli, codex
Est. Tokens~14k

About longgraph-skill

longgraph Long-horizon agent skill for Claude Code, Cursor, Codex & Grok Build. Stop agent drift with a durable ledger, a clean-context supervisor, and verified gates. Queue many long tasks in one loop — even unrelated ones — and keep going after a host switch by re-sending the same prompt against the files. Design once → compile a durable loop-graph → verify all the way to done.

Compatible Skills

These tools work well together with longgraph-skill for enhanced workflows:

  • bdpan-storage — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (60%)
  • git-context-controller — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • craft — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

View on GitHub → Browse Claude Skill tools