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/lint/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/lint)<a href="https://agentmods.dev/skills/p1-103n1x/bab-ilu/lint"><img src="https://agentmods.dev/badge/skills/p1-103n1x/bab-ilu/lint/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/lint"><img src="https://agentmods.dev/badge/skills/p1-103n1x/bab-ilu/lint.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 | $0.00066 | $0.02499 |
| Opus 5 | $0.00033 | $0.01249 |
| Sonnet 5 | $0.00013 | $0.00500 |
| Haiku 4.5 | $0.00007 | $0.00250 |
Grade A, and why
lint scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
Delegates to `tools/graph_analyzer.py` via `subprocess.run`. The analyzer How it starts
The opening of the file, as written. The whole thing — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/lint — Vault structural + lens-aware validator (v2.1)
Synopsis
/lint # v2.0 entity checks only
/lint --lens=aesthetic-warburg # + anchor + tier consistency
/lint --lens=general-zettelkasten --json # machine-readable output
/lint --fix # auto-fix deterministic issues
/lint --fix --dry-run # preview fixes only
/lint --rebuild-graph --lens=aesthetic-warburg # re-run graph_analyzer after lint
/lint --suggest # show remediation hints for non-fixable
What this skill does
/lint is the vault's structural gatekeeper. It runs before /prompt, before
/distill, and before any release to catch broken links, missing fields,
stale cross-references, and (when a lens is active) lens-specific drift.
Four layers of checks run in order:
- v2.0 entity checks — always on. Validates
papers/,concepts/,topics/,people/,ideas/,experiments/,claims/,foundations/pertools/_schemas.py(required fields, enum values, idea/experiment completeness, xref symmetry, graph edge consistency, content quality). - Karpathy active-suggestion checks (K2, Sprint 4; PRD §0.5.4) —
always on, lens-agnostic parts. Structural MVP — LLM-backed tiers
defer to Sprint 5 per principle 1 (late binding):
stale-claim— pages citing a target whose slug appears as thetoof any[[x]] [retracts-<code>] [[target]]line in.agent/graph/*.md. Per.agent/spec/gap-algorithm.md §2.material-request— a missing wikilink target referenced by ≥ 2 distinct pages. Below 2 references is ordinary broken-link noise; at 2+ the wiki itself is asking for a page on that slug.
- Lens-aware checks — opt-in via
--lens <id>. Adds:lens-anchor— tier-0 pages missing every authority field the lens declares inanchors.authority_fields. Lenses without anchors (e.g. zettelkasten) silently skip this check.lens-tier— tier-1-cluster pages whose wikilinks resolve to EXISTING pages of the wrong type. Broken-target wikilinks are intentionally not double-reported here —check_broken_linksalready covers them.contradiction(K2 Rule A, Sprint 4) — same normalized title across ≥ 2 pages with mismatched values for the lens'sanchors.authority_fields. Lenses without authority fields (e.g. zettelkasten) silently skip. Severity 🟡 — users decide whether to reconcile, add acontradictsedge, or mark as intentional.
- Graph rebuild — opt-in via
--rebuild-graph. After lint completes (and after--fixif requested), delegates totools/graph_analyzer.pyas a subprocess, forwarding--lensand--lenses-baseunchanged.
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 · 221 lines · 66 tokens per session scan A fcdee90f3479
lint is a skill published in the GitHub repository P1-103n1x/bab-ilu (11 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 2,499 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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