Borrowing it
Nothing to install: this file belongs to bb1nfosec/skim. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/bb1nfosec/skim/main/.claude/commands/distill-fix.mdgit clone --depth 1 https://github.com/bb1nfosec/skimWrote 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/commands/bb1nfosec/skim/distill-fix)<a href="https://agentmods.dev/commands/bb1nfosec/skim/distill-fix"><img src="https://agentmods.dev/badge/commands/bb1nfosec/skim/distill-fix.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 | $0.00000 | $0.00091 |
| Opus 5 | $0.00000 | $0.00046 |
| Sonnet 5 | $0.00000 | $0.00018 |
| Haiku 4.5 | $0.00000 | $0.00009 |
Grade A, and why
distill-fix 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 7d 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
Automatically fix context waste in the current project by writing .llmignore rules.
python3 -m core.fix --path . --min-severity medium
Show the before/after token count, percentage of context used, and dollar savings per session. List every rule that was added to .llmignore. If the savings are significant, suggest also running /distill-generate to create a full CLAUDE.md.
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.
- 7d ago First seen · 8 lines · 0 tokens per session scan A b65858f7037b
distill-fix is a command published in the GitHub repository bb1nfosec/skim (5 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 91 tokens. 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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