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 technicalpickles/pickled-claude-plugins --skill distill-rulesgit clone --depth 1 https://github.com/technicalpickles/pickled-claude-pluginsWrote 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/technicalpickles/pickled-claude-plugins/distill-rules)<a href="https://agentmods.dev/skills/technicalpickles/pickled-claude-plugins/distill-rules"><img src="https://agentmods.dev/badge/skills/technicalpickles/pickled-claude-plugins/distill-rules/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/technicalpickles/pickled-claude-plugins/distill-rules"><img src="https://agentmods.dev/badge/skills/technicalpickles/pickled-claude-plugins/distill-rules.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 11 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00020 | $0.00529 |
| Opus 5.5 | $0.00008 | $0.00212 |
| Sonnet 5.5 | $0.00004 | $0.00106 |
| Haiku 4.5 | $0.00002 | $0.00053 |
Grade A, and why
distill-rules 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 1mo 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
Distill Rules
Review accumulated routing corrections in .routing-memory.md and propose updates to the vault's CLAUDE.md routing rules.
See references/routing-memory.md for correction format and learning loop.
Process
-
Read
.routing-memory.mdfrom vault root -
Read vault CLAUDE.md
-
Analyze corrections for patterns:
- Group corrections by destination
- Identify repeated corrections (same type of note going to same destination)
- Look for corrections that contradict existing CLAUDE.md rules
-
Propose updates:
- New edge case mappings for disambiguation sections
- New category table entries
- New learned patterns for
.routing-memory.md - Corrections to existing rules that have been consistently overridden
-
Present proposals to user:
Found {n} patterns in {m} corrections: 1. Add edge case: "{scenario}" -> {destination} Based on: {n} corrections over {date range} 2. Add to category table: "{tool}" under {area} Based on: {n} corrections 3. Update rule: "{old rule}" -> "{new rule}" Based on: consistently overridden {n} times Apply these updates? (A) Apply all (B) Review individually (C) Skip for now -
Apply selected updates:
- Edit vault CLAUDE.md with new rules
- Move applied corrections to an
## Archivedsection in.routing-memory.md - Promote stable patterns to
## Patterns Learned
Constraints
- Never auto-apply. Always present proposals for approval.
- Preserve existing CLAUDE.md structure and formatting
- Archive corrections, don't delete them (audit trail)
- Only propose rules backed by multiple corrections (minimum 2)
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.
- 1mo ago First seen · 66 lines · 20 tokens per session scan A 3a5e0e26e998
distill-rules is a skill published in the GitHub repository technicalpickles/pickled-claude-plugins (12 stars, last pushed yesterday), licensed MIT. It adds 20 tokens to every session and 529 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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