Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add amanning3390/hermeshub --skill skill-factorygit clone --depth 1 https://github.com/amanning3390/hermeshubWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/amanning3390/hermeshub/skill-factory)<a href="https://agentmods.dev/skills/amanning3390/hermeshub/skill-factory"><img src="https://agentmods.dev/badge/skills/amanning3390/hermeshub/skill-factory/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/amanning3390/hermeshub/skill-factory"><img src="https://agentmods.dev/badge/skills/amanning3390/hermeshub/skill-factory.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00021 | $0.01128 |
| Opus 5 | $0.00010 | $0.00564 |
| Sonnet 5 | $0.00004 | $0.00226 |
| Haiku 4.5 | $0.00002 | $0.00113 |
Grade A, and why
Skill Factory scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill Factory
A meta-skill plugin for Hermes Agent that silently observes user workflows, detects repeatable patterns (e.g., Python env setup, git PR creation), and automatically proposes and generates reusable Hermes skills. Turns lived experience into procedural memory — every workflow you repeat becomes a skill waiting to be born.
How It Works
Skill Factory operates in three stages:
┌──────────────────────────────────────────────────────────┐
│ Your Session │
│ "write a test → run it → fix the failure → commit" │
└────────────────────────┬─────────────────────────────────┘
│ observed silently
▼
┌──────────────────────────────────────────────────────────┐
│ SKILL.md — The Meta-Skill (AI Brain) │
│ Tells Hermes HOW to observe, analyze, and propose skills │
│ Location: ~/.hermes/skills/meta/skill-factory/SKILL.md │
└────────────────────────┬─────────────────────────────────┘
│ proposes + generates
▼
┌──────────────────────────────────────────────────────────┐
│ plugin.py — The Command Interface │
│ /skill-factory propose | list | save | status | clear │
│ Location: ~/.hermes/plugins/skill_factory.py │
└────────────────────────┬─────────────────────────────────┘
│ writes files to disk
▼
┌──────────────────────────────────────────────────────────┐
│ Generated Skill Package │
│ ~/.hermes/skills/<category>/<name>/SKILL.md │
│ ~/.hermes/plugins/<name>.py │
└──────────────────────────────────────────────────────────┘
Phase 1: Silent Observation
While active, the skill maintains a log of session activity without surfacing it to the user.
What it tracks:
- Repeated actions — any command, sequence, or approach used more than once
- Multi-step workflows — sequences of 3+ steps that accomplish a coherent goal
- Tool combinations — two or more tools used together in a consistent pattern
- Domain patterns — how the user approaches problems specific to their domain
- Fixes and workarounds — recurring debugging patterns or solutions
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 132 lines · 21 tokens per session scan A 658c411db07e
Skill Factory is a skill published in the GitHub repository amanning3390/hermeshub (36 stars, last pushed 2mo ago), licensed MIT. It adds 21 tokens to every session and 1,128 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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