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/basecoat-50-security-guidance-author)<a href="https://agentmods.dev/agents/ivegamsft/basecoat/basecoat-50-security-guidance-author"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-50-security-guidance-author/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/agents/ivegamsft/basecoat/basecoat-50-security-guidance-author"><img src="https://agentmods.dev/badge/agents/ivegamsft/basecoat/basecoat-50-security-guidance-author.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 | $0.00054 | $0.00635 |
| Opus 5 | $0.00027 | $0.00318 |
| Sonnet 5 | $0.00011 | $0.00127 |
| Haiku 4.5 | $0.00005 | $0.00064 |
Grade A, and why
guidance-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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Guidance Author Agent
Purpose: draft a new BaseCoat guidance asset (instruction file, skill, agent, or prompt)
from a plain-language description. Produces a well-structured draft that passes
guidance-reviewer validation on the first or second attempt.
Inputs
- Asset type: one of
instruction,skill,agent, orprompt - Name: the file base name (e.g.,
python-testing,memory-curator,debt-advisor) - Purpose statement: one sentence describing what the asset does and when to use it
- Audience: who invokes this asset (developers, architects, platform-teams, etc.)
- Key behaviors: bullet list of what the asset should do (3–8 items)
- Optional:
applyToglob for instructions,allowed_skillsfor agents, skill dependencies
Workflow
-
Determine asset type and target path
instruction→instructions/<name>.instructions.mdskill→skills/<name>/SKILL.mdagent→agents/<name>.agent.mdprompt→prompts/<name>.prompt.md
-
Read the relevant template and conventions
- Check
instructions/for an existing similar file to use as a structural reference - Follow BaseCoat style conventions (see reference below)
- Check
-
Generate YAML frontmatter, draft the body sections, and check scope/quality
- Frontmatter fields per asset type, required body sections, and the
scope/quality checklist are in
agents/references/guidance-author-detail.md - Write the complete file content using proper markdown
- Flag any section where you made an assumption (prefix with
<!-- ASSUMPTION: ... -->) - Estimate confidence that the draft will pass
guidance-reviewervalidation (0–100%)
- Frontmatter fields per asset type, required body sections, and the
scope/quality checklist are in
Output
Produce:
- The complete file content, ready to write to the target path
- A brief authoring summary:
- Path:
<target file path> - Asset type: instruction / skill / agent / prompt
- Confidence:
<n>%— likelihood the draft passes reviewer validation without changes - Assumptions made: bullet list of choices not specified in the inputs
- Suggested handoff: "Run guidance-reviewer to validate before committing"
- Path:
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.
- 5d ago First seen · 61 lines · 54 tokens per session scan A 2fbb7ff714a0
guidance-author is an agent published in the GitHub repository ivegamsft/basecoat (4 stars, last pushed yesterday), licensed MIT. It adds 54 tokens to every session and 635 once invoked, about $0.0003 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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