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 instructions/chf3198/copilot-governance/skill-routinggit clone --depth 1 https://github.com/chf3198/copilot-governanceWrote 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/instructions/chf3198/copilot-governance/skill-routing)<a href="https://agentmods.dev/instructions/chf3198/copilot-governance/skill-routing"><img src="https://agentmods.dev/badge/instructions/chf3198/copilot-governance/skill-routing.svg" alt="Measured on agentmods" 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 | $0.00228 | $0.00228 |
| Opus 5 | $0.00114 | $0.00114 |
| Sonnet 5 | $0.00046 | $0.00046 |
| Haiku 4.5 | $0.00023 | $0.00023 |
Grade A, and why
copilot-governance skill-routing.instructions.md 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 4d 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
Use repository and global customization layers together for every task:
- Read .github/copilot-instructions.md first.
- Apply nearest AGENTS.md instructions.
- Prefer reusable global skills from ~/.copilot/skills before ad-hoc reasoning.
- For every task, invoke
role-baton-orchestratorfirst (Manager → Collaborator → Admin → Consultant). - For repository workflow routing, invoke:
repo-standards-routerfor task classification and gatesopenclaw-universal-systemas the machine-global OpenClaw baseline when OpenClaw might helpnetwork-platform-resourceswhen task could benefit from remote execution or offloadingopenclaw-availability-utilizationwhen OpenClaw lane is expected or preferredworkflow-self-annealonly for post-failure/process drift checks
- Do not claim skill usage unless the skill was actually invoked and followed.
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.
- 4d ago First seen · 20 lines · 228 tokens per session scan A 1b085e18d4c3
copilot-governance skill-routing.instructions.md is an instructions file published in the GitHub repository chf3198/copilot-governance (1 stars, last pushed 1mo ago), licensed MIT. It adds 228 tokens to every session, about $0.0011 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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