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 agentmods add skills/tripleyak/skillforge/sample-skillnpx skills add tripleyak/SkillForge --skill sample-skillgit clone --depth 1 https://github.com/tripleyak/SkillForgeWhat 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 | $0.00040 | $0.00339 |
| Opus 5 | $0.00020 | $0.00169 |
| Sonnet 5 | $0.00008 | $0.00068 |
| Haiku 4.5 | $0.00004 | $0.00034 |
Grade A, and why
sample-skill 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 2d 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
Sample Skill
A fixture skill used by test_validate_skill.py. It uses every frontmatter feature the vendored YAML parser must support, and satisfies every structural check in validate_skill.py, so the full validator must report zero errors for it.
Process
- Run the validator against this directory.
- Assert that the error list is empty.
- Assert that typed values survived parsing (booleans stay booleans).
| Step | Check | Expected |
|---|---|---|
| 1 | frontmatter parse | no error |
| 2 | user-invocable | bool True |
| 3 | allowed-tools | list of 3 tools |
Verification
- validate_skill.py reports zero errors
- quick_validate.py reports the skill as valid
- user-invocable parsed as a boolean
Anti-Patterns
- Do not pin a dated model ID in frontmatter.
- Do not duplicate reference content in collapsible details blocks.
Extension Points
- Add hooks frontmatter once the vendored parser grows hook fixtures.
- Add a scripts/ directory to exercise script lint checks.
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.
- 2d ago First seen · 50 lines · 40 tokens per session scan A b00c169899b2
sample-skill is a skill published in the GitHub repository tripleyak/SkillForge (884 stars, last pushed 1mo ago), licensed MIT. It adds 40 tokens to every session and 339 once invoked, about $0.0002 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.
Other skills, from other repositories
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golden-rss
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r3f-best-practices
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agile-product-owner
../../../product-team/agile-product-owner/skills/agile-product-owner/SKILL.md.
agent-memory
../../../engineering/agent-memory/skills/agent-memory/SKILL.md.