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 skills/packmindhub/packmind/improve-claude-mdnpx skills add PackmindHub/packmind --skill improve-claude-mdgit clone --depth 1 https://github.com/PackmindHub/packmindWrote 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/packmindhub/packmind/improve-claude-md)<a href="https://agentmods.dev/skills/packmindhub/packmind/improve-claude-md"><img src="https://agentmods.dev/badge/skills/packmindhub/packmind/improve-claude-md.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 | $0.00092 | $0.02292 |
| Opus 5 | $0.00046 | $0.01146 |
| Sonnet 5 | $0.00018 | $0.00458 |
| Haiku 4.5 | $0.00009 | $0.00229 |
Grade A, and why
improve-claude-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 6d 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 — 171 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md Improver
Audit and improve the CLAUDE.md files this run owns, create the ones that are missing, then report
what changed.
You are running NON-INTERACTIVELY in CI: no human is available to confirm anything. Never ask a question — either apply a change that is clearly correct, or skip it and say so in the final summary. Apply fixes directly to the files as you go.
These are standing instructions for the whole run, not a one-time checklist.
Step 1 — Build the skill inventory
Before touching any CLAUDE.md, list every skill available in this repository.
Use Glob with the pattern **/.claude/skills/**/SKILL.md. Match at any depth: a .claude/skills
directory can itself live in a sub-directory, and skills may be nested. Ignore any hit under
node_modules. Ignore this skill (improve-claude-md) — it is CI tooling, not a
developer convention, so it never justifies deleting anything.
For each remaining SKILL.md, collect only the YAML frontmatter name and description. Do not
read skill bodies at this stage — inlining them wastes the context you need for the audit itself.
Then state the count out loud, for example Loaded frontmatter for 10 skill(s), and list the paths.
This line matters: a regression that silently empties the inventory (a gitignored .claude/skills, a
narrowed checkout, a changed glob) must be visible in the run log instead of quietly degrading into
"skip deduplication".
If the inventory is empty, say so explicitly and skip Step 5 (deduplication) entirely for the whole run.
Step 2 — Read the worklist
Read tmp/claude-md-worklist.txt. It holds one repository-relative CLAUDE.md path per line, and
it is authoritative: the workflow resolved it for this repository, and the scope differs between
repositories on purpose. In the open-source repository it is every CLAUDE.md in the tree; in the
proprietary fork it is only the packages that do not exist upstream, because every shared file is
owned by the other repository's run of this same workflow. Editing a file outside the worklist
diverges it between the two repositories and conflicts on the next sync.
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.
- 6d ago First seen · 171 lines · 92 tokens per session scan A 2bb7fdee34b3
improve-claude-md is a skill published in the GitHub repository PackmindHub/packmind (308 stars, last pushed yesterday), licensed Apache-2.0. It adds 92 tokens to every session and 2,292 once invoked, about $0.0005 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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Migrate existing global AI agent instructions into loadout. Use when adopting loadout, importing a CLAUDE.md / AGENTS.md / global agent rules into loadout, setting up /.config/loadout/config.toml, or turning prose agent instructions into reusable fragments and stack-targeted profiles.
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