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 majiayu000/spellbook --skill agentsmd-scaffoldgit clone --depth 1 https://github.com/majiayu000/spellbookWrote 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/majiayu000/spellbook/agentsmd-scaffold)<a href="https://agentmods.dev/skills/majiayu000/spellbook/agentsmd-scaffold"><img src="https://agentmods.dev/badge/skills/majiayu000/spellbook/agentsmd-scaffold/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/majiayu000/spellbook/agentsmd-scaffold"><img src="https://agentmods.dev/badge/skills/majiayu000/spellbook/agentsmd-scaffold.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00073 | $0.01346 |
| Opus 5 | $0.00036 | $0.00673 |
| Sonnet 5 | $0.00015 | $0.00269 |
| Haiku 4.5 | $0.00007 | $0.00135 |
Grade A, and why
agentsmd-scaffold 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 11d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md Scaffold
Use this skill to generate a small, evidence-backed AGENTS.md stack for a
repository. The output may be a plan, exact proposed file contents, or applied
files when the user explicitly asks to write them.
This skill is for instruction scaffolding. Use repo-agent-context-audit first
when the user only asks whether the repo's agent context is healthy.
Operating Contract
Default to a scoped plan before editing. Only write or modify AGENTS.md,
CLAUDE.md, WARP.md, hooks, settings, or generated docs when the user has
explicitly asked to apply the scaffold.
Direct actions:
- Run read-only discovery, scanner commands, and repo command inspection.
- Produce a scoped
AGENTS.mdplan with evidence and validation commands. - Draft exact file contents when the user asks for proposed text.
Escalate before:
- Creating or editing high-context files when the user only asked for an audit.
- Rewriting existing
AGENTS.md,CLAUDE.md, orWARP.mdinstead of adding a short pointer or scoped complement. - Batch-normalizing multiple repositories.
Evidence-backed pushback:
- Challenge new scoped files when the directory has no distinct local rules.
- Challenge guessed commands, ownership, or generated-file rules unless repo evidence supports them.
Feedback loop:
- Promote repeated false starts into
references/scaffold-agents.md, scanner signals, or eval prompts.
Workflow
1. Discover Existing Context
Run the scanner from this skill directory when possible:
python3 scripts/scan_repo_context.py <repo-root>
python3 scripts/scan_repo_context.py <repo-root> --json
Then inspect the files that matter:
- existing
AGENTS.md,CLAUDE.md,WARP.md,.claude/instructions.md, and.github/copilot-instructions.md README.md,CONTRIBUTING.md, package manifests, Makefiles, CI workflows, and documented test commands- generated files and their generators
- high-risk directories such as migrations, deploy scripts, auth, secrets, payments, registry metadata, generated clients, and production operations
What ships with it
3 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.
- 11d ago First seen · 152 lines · 73 tokens per session scan A fd8b7a97a7b4
agentsmd-scaffold is a skill published in the GitHub repository majiayu000/spellbook (278 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 1,346 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 2026-08-30.
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