Borrowing it
Nothing to install: this file belongs to P1-103n1x/bab-ilu. 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/P1-103n1x/bab-ilu/v2.2-oss-public/.claude/skills/distill/SKILL.mdgit clone --depth 1 https://github.com/P1-103n1x/bab-iluWrote 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/p1-103n1x/bab-ilu/distill)<a href="https://agentmods.dev/skills/p1-103n1x/bab-ilu/distill"><img src="https://agentmods.dev/badge/skills/p1-103n1x/bab-ilu/distill/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/p1-103n1x/bab-ilu/distill"><img src="https://agentmods.dev/badge/skills/p1-103n1x/bab-ilu/distill.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 | $0.00105 | $0.02123 |
| Opus 5.5 | $0.00042 | $0.00849 |
| Sonnet 5.5 | $0.00021 | $0.00425 |
| Haiku 4.5 | $0.00011 | $0.00212 |
Grade A, and why
distill 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.
How it starts
The opening of the file, as written. The whole thing — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/distill — Lens-aware L2 cognitive reconstruction
Lens awareness (v2.1)
/distill is lens-agnostic in its core mechanic (source language →
vault language, preserving key terms as bilingual anchors), but
lens-specific in which terms qualify as anchors and where the
distilled output lives in the vault.
Runtime wiring:
- Resolve the active lens at
.agent/lenses/active/lens.yamlviatools/lens_loader.load_lens(lens_id); honor--lens <id>. - Inject
tools.lens_context.active_lens_preamble()at the top of the distillation LLM call — the lens'sprompts.mdencodes domain-appropriate reconstruction judgment (e.g. aesthetic-warburg forbids swapping AAT-canonical terms for folk labels; engineering requires preserving version numbers and CVE IDs verbatim). - Read anchor rules from
lens.anchors.authority_fields— the same fields/lint --lens=…enforces on tier-0 pages — and use them to decide which source-language terms must be kept verbatim (with the vault-language gloss in parentheses) versus distilled into target-language phrasing. - Resolve the output folder from
lens.entity_model.tier_0(or the relevant tier depending on the source's shape). Default:wiki/{tier_0}/{slug}.md. Aesthetic-warburg continues to usewiki/aesthetic/implicitly because tier_0 = work; no change visible to the user.
Anchor preservation by lens
| Lens | Authority fields preserved verbatim | Additional verbatim rules |
|---|---|---|
aesthetic-warburg |
AAT ID, Iconclass code, Wikidata QID | Warburg panel names (German titles); Pathosformel phrases |
engineering-alexander |
RFC number, CVE ID, CWE ID, postmortem URL hash, service names | Version numbers; error codes; config keys (kebab/snake case kept) |
general-zettelkasten |
(none declared) | Quoted source fragments; named methodologies; author names |
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 · 211 lines · 105 tokens per session scan A 56dc887d13e8
distill is a skill published in the GitHub repository P1-103n1x/bab-ilu (11 stars, last pushed 6mo ago), licensed MIT. It adds 105 tokens to every session and 2,123 once invoked, about $0.0004 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 2026-08-30.
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