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.
git clone --depth 1 https://github.com/ivegamsft/basecoatWrote 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/agents/ivegamsft/basecoat/governance-author)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/governance-author"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/governance-author.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 5.1 | $0.00077 | $0.00373 |
| Opus 5 | $0.00039 | $0.00187 |
| Sonnet 5 | $0.00015 | $0.00075 |
| Haiku 4.5 | $0.00008 | $0.00037 |
Grade A, and why
governance-author 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 3d 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
Governance Author Agent
Purpose: draft or revise governance guidance that keeps shared rules separate from repo-specific rules and keeps labels, templates, and workflows aligned.
Inputs
- The current governance doc or the need for a new one
- The canonical label set and any legacy labels to migrate
- Repo-specific exceptions, if any
- Related templates, workflows, and agent or skill assets
Workflow
- Identify the common rules that should apply across repos.
- Separate repo-specific rules into a distinct section or note.
- Write the canonical contract and include a migration map for legacy labels.
- Link the guidance to the issue templates, PR template, and triage references.
- Record any uncovered gaps as GitHub issues.
Output
- Updated governance guidance in markdown
- A canonical label and migration summary
- A short list of follow-up issues for uncovered gaps
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.
- 3d ago First seen · 54 lines · 77 tokens per session scan A 9867252edb3b
governance-author is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed 3d ago), licensed MIT. It adds 77 tokens to every session and 373 once invoked, about $0.0004 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 2026-09-03.
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