botmaker: A Hermes Agent skill + SOUL for a bot whose only job is minting other specialist bots

by techjanitor · Codex Skill · ★ 279

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

Security audit verdict: SAFE · quality 66/100

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.

Quick Facts

Stars279
Forks15
LanguagePython
CategoryCodex Skill
LicenseMIT
Quality Score66/100
Open Issues1
Last Updated2026-09-01
Created2026-09-01
Platformspython
Est. Tokens~4k

About botmaker

botmaker A Hermes Agent skill + SOUL for a bot whose only job is minting other specialist bots. The loop it enforces: interview → one-screen SOUL draft → human sign-off → scaffold (, pinned brain, file-level skill links) → certification in the child's own chat → documentation in the vault Seeding files is not a bot. Why A SOUL.md dump on a cloned profile is a costume.

Compatible Skills

These tools work well together with botmaker for enhanced workflows:

  • JobOK — semantic(0.42)+complementary+same_lang+similar_pop+shared_platform (65%)
  • book-sales-video — semantic(0.26)+complementary+same_lang+similar_pop+shared_platform (59%)
  • tarot-skill — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • awesome-hermes-agent-zh — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)
  • lark-todo — semantic(0.23)+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:

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