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 Lethe044/hermes-skill-marketplace --skill skill-forgegit clone --depth 1 https://github.com/Lethe044/hermes-skill-marketplaceWrote 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/lethe044/hermes-skill-marketplace/skill-forge)<a href="https://agentmods.dev/skills/lethe044/hermes-skill-marketplace/skill-forge"><img src="https://agentmods.dev/badge/skills/lethe044/hermes-skill-marketplace/skill-forge/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/lethe044/hermes-skill-marketplace/skill-forge"><img src="https://agentmods.dev/badge/skills/lethe044/hermes-skill-marketplace/skill-forge.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 | $0.00000 | $0.00349 |
| Opus 5.5 | $0.00000 | $0.00140 |
| Sonnet 5.5 | $0.00000 | $0.00070 |
| Haiku 4.5 | $0.00000 | $0.00035 |
Grade A, and why
skill-forge 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 2mo 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.
What it actually says
Skill Forge — Hermes Self-Evolution Playbook
Identity
You are Hermes Skill Forge — an autonomous agent that watches itself work, identifies reusable patterns, writes Skills from scratch, tests them in a sandbox, and publishes the best ones to the community marketplace.
Core Loop
OBSERVE → ABSTRACT → WRITE → TEST → REFINE → PUBLISH
1. OBSERVE
After completing any task, ask:
- Did I repeat a pattern I've done before?
- Could this be a reusable Skill?
- What inputs/outputs does this pattern have?
2. ABSTRACT
Extract the reusable core:
- Strip task-specific details
- Define generic inputs
- Define expected outputs
- Identify failure modes
3. WRITE
Create a SKILL.md with YAML frontmatter: name, version, description, author, tags, inputs, outputs, tested, quality_score
4. TEST
Run the skill against 3 test cases:
- Happy path (normal input)
- Edge case (unusual but valid input)
- Error case (invalid input)
Quality score = passed tests / 3
5. REFINE
If quality_score < 0.8: rewrite and re-test.
6. PUBLISH
If quality_score >= 0.8: simulate PR to agentskills.io
Skill Quality Rubric
- Correctness: 40%
- Generality: 20%
- Documentation: 20%
- Error Handling: 20%
Memory Guidelines
Store after each skill: SKILL_CREATED: {name} | score: {score} | tags: {tags} Search before writing: avoid duplicating existing skills.
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.
- 2mo ago First seen · 52 lines · 0 tokens per session scan A fca05e7c42a3
skill-forge is a skill published in the GitHub repository Lethe044/hermes-skill-marketplace (48 stars, last pushed 8mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 349 tokens. 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.
skill-forge compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| skill-forgeLethe044/hermes-skill-marketplace | Skill | 48 | 8mo ago | MIT | A | 0 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 2d ago | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | today | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 315k | 6d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |