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 bird-chinese-community/BIRD.skills --skill templategit clone --depth 1 https://github.com/bird-chinese-community/BIRD.skillsWrote 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/bird-chinese-community/bird.skills/template)<a href="https://agentmods.dev/skills/bird-chinese-community/bird.skills/template"><img src="https://agentmods.dev/badge/skills/bird-chinese-community/bird.skills/template/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/bird-chinese-community/bird.skills/template"><img src="https://agentmods.dev/badge/skills/bird-chinese-community/bird.skills/template.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 | $0.00023 | $0.00216 |
| Opus 5 | $0.00012 | $0.00108 |
| Sonnet 5 | $0.00005 | $0.00043 |
| Haiku 4.5 | $0.00002 | $0.00022 |
Grade A, and why
<skill-name> 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.
What it actually says
Brief overview of what this skill does.
When to use this skill
- The user asks about ...
- The user wants to ...
Core principles
- Principle one. Explain the rule.
- Principle two. Explain the rule.
Available scripts
These scripts are bundled with the skill. Run them with uv run scripts/<script>.py from the skill
root. They use only the Python standard library and produce structured JSON output on stdout.
scripts/example.py— Short description.
Reference guides
references/example.md— Description.
Output style
- Match the user's language.
- Keep explanations concise and actionable.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 41 lines · 23 tokens per session scan A 639932ae35cc
<skill-name> is a skill published in the GitHub repository bird-chinese-community/BIRD.skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 23 tokens to every session and 216 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 2026-08-31.
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