hermes-codex-image-skill: Stable local Codex image generation for Hermes/OpenClaw with predictable file output and JSON metadata

by techkwon · Codex Skill · ★ 6

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

Security audit verdict: SAFE · quality 71/100

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. Full audit →

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.

automationchatgptclicodexdeveloper-toolshermesimage-generationopenclawpython

Quick Facts

Stars6
Forks0
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score71/100
Last Updated2026-04-23
Created2026-04-23
Platformscli, codex, python
Est. Tokens~16k

About hermes-codex-image-skill

Stable local Codex image generation for Hermes/OpenClaw with predictable file output and JSON metadata.

Compatible Skills

These tools work well together with hermes-codex-image-skill for enhanced workflows:

  • codex-gpt-image — semantic(0.34)+complementary+same_lang+similar_pop+shared_platform (62%)

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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