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 ReyYang/SkillYard --skill skillgit clone --depth 1 https://github.com/ReyYang/SkillYardWrote 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/reyyang/skillyard/skill)<a href="https://agentmods.dev/skills/reyyang/skillyard/skill"><img src="https://agentmods.dev/badge/skills/reyyang/skillyard/skill/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/reyyang/skillyard/skill"><img src="https://agentmods.dev/badge/skills/reyyang/skillyard/skill.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 | $0.00356 |
| Opus 5.5 | $0.00008 | $0.00142 |
| Sonnet 5.5 | $0.00004 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
agent-fabric 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 1mo 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
Agent Fabric
这是一个由用户调用的路由 Skill。只有用户明确调用 Agent Fabric 时才运行；项目中存在 .agent-fabric/ 本身不构成调用。
选择分支
- 完成一项工作：完整读取并执行
references/collaborate.md。 - 查看、发现、推荐或更换协作者：完整读取并执行
references/configure-collaborators.md。 - 两类请求同时出现：先配置协作者，再执行工作；两个 reference 都必须读取。
每个分支都遵守
- 用户正在直接使用的当前 Agent 承担
orchestrator，保留用户意图、权限、关键决策、结果复核和最终交付。 - 其他 Role 只描述职责，具体协作者、模型和调用方式以本机配置为准；不可用时明确停止该路由，不静默替换。
- 用户指令、批准和修改范围是硬边界。协作者只能在这些边界内行动，不能代替用户授权。
- 日常协作直接使用当前环境的真实能力，不调用 Rust、
agent-run或中央调度程序。 - 若当前宿主不能保证本 Skill 只由用户调用，先向用户说明这一限制。
当所选 reference 的完成条件全部满足，或已向用户说明无法继续的准确原因和影响时，本次调用才结束。
What ships with it
2 files 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.
- 1mo ago First seen · 26 lines · 21 tokens per session scan A e4acf1f84687
agent-fabric is a skill published in the GitHub repository ReyYang/SkillYard (2 stars, last pushed 1mo ago), licensed MIT. It adds 21 tokens to every session and 356 once invoked, about $0.0001 per session on Opus 5.5. 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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