pstack-for-codex: Codex-native engineering workflows derived from pstack, with 45 explicit skills and 23 Poteto Mode playbooks

by Aqua-123 · Codex Skill · ★ 88

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

Security audit verdict: SAFE · quality 70/100

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.

codexcodex-plugindeveloper-toolsengineering-workflowspstack

Quick Facts

Stars88
Forks15
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score70/100
Open Issues3
Last Updated2026-10-16
Created2026-08-26
Platformscodex, node
Est. Tokens~15k

About pstack-for-codex

pstack for Codex is a Codex-native derivative of pstack. It packages deliberate engineering workflows as 45 explicit-only skills and 23 Poteto Mode playbooks. Use for a substantial engineering task. It selects a playbook, records the work as verifiable steps, and invokes narrower skills when the steps need them.

Compatible Skills

These tools work well together with pstack-for-codex for enhanced workflows:

  • Codex-Workflows — semantic(0.40)+complementary+same_lang+similar_pop+shared_platform (64%)
  • plane-codex-mcp — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (59%)
  • codex-command-center — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (58%)

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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 Codex Skill tools