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 Songmu/skillsmith --skill skillsmith-demogit clone --depth 1 https://github.com/Songmu/skillsmithWrote 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/songmu/skillsmith/skillsmith-demo)<a href="https://agentmods.dev/skills/songmu/skillsmith/skillsmith-demo"><img src="https://agentmods.dev/badge/skills/songmu/skillsmith/skillsmith-demo/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/songmu/skillsmith/skillsmith-demo"><img src="https://agentmods.dev/badge/skills/songmu/skillsmith/skillsmith-demo.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 | $0.00017 | $0.00334 |
| Opus 5 | $0.00009 | $0.00167 |
| Sonnet 5 | $0.00003 | $0.00067 |
| Haiku 4.5 | $0.00002 | $0.00033 |
Grade A, and why
skillsmith-demo 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 12d 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
skillsmith-demo
skillsmith is a Go library that makes it easy to attach AI agent skill
distribution to any existing CLI tool.
Overview
skillsmith lets you embed agentskills-compatible skill files into your Go
binary and expose an skills subcommand that installs, updates, and manages
those skills in the user's agent environment.
Usage
# List skills bundled with this tool
mytool skills list
# Install skills into the default skills directory (~/.agents/skills)
mytool skills install
# Install skills scoped to the current repository
mytool skills install --scope repo
# Install skills to a custom directory
mytool skills install --prefix /path/to/skills
# Preview what would be installed without making changes
mytool skills install --dry-run
# Check which skills are installed and whether updates are available
mytool skills status
# Update skills whose version has changed
mytool skills update
# Reinstall all managed skills
mytool skills reinstall
# Remove all managed skills
mytool skills uninstall
Notes
- Skills are installed alongside a
.skillsmith.jsonmetadata file that records the installing tool, version, and timestamp. - Unmanaged skills (placed manually without
.skillsmith.json) are never overwritten unless--forceis provided.
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.
- 12d ago First seen · 62 lines · 17 tokens per session scan A 14e86fedeb62
skillsmith-demo is a skill published in the GitHub repository Songmu/skillsmith (21 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 334 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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