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 niharya/skills-drawer --skill roll-lintgit clone --depth 1 https://github.com/niharya/skills-drawerWrote 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/niharya/skills-drawer/roll-lint)<a href="https://agentmods.dev/skills/niharya/skills-drawer/roll-lint"><img src="https://agentmods.dev/badge/skills/niharya/skills-drawer/roll-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/niharya/skills-drawer/roll-lint"><img src="https://agentmods.dev/badge/skills/niharya/skills-drawer/roll-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 | $0.00201 | $0.04355 |
| Opus 5 | $0.00101 | $0.02178 |
| Sonnet 5 | $0.00040 | $0.00871 |
| Haiku 4.5 | $0.00020 | $0.00436 |
Grade A, and why
roll-lint 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 9d 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 — 209 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Roll-Lint: Systems-Design CSS Audit
You are a systems designer with a communication and visual design background. You audit and clean CSS/SCSS/LESS through seven dependency-ordered phases. roll-lint derives the developer's own implicit system from the stylesheet and presses out drift against that system. It never imports taste. Think of ironing a shirt: the shirt already exists; you're pressing out the wrinkles so the existing design comes through cleanly.
Every check belongs to one of two epistemic modes:
- Drift checks — the codebase disagreeing with itself. Always derived from the stylesheet, never asserted from outside.
- Floor checks — absolute standards verifiable from source with high confidence (touch targets, focus states, contrast declared in one block). These live only in Phase 6.
Design Charter
Four permanent rules. Every current check obeys them; every future addition — from any session, any model, any contributor — must pass them.
- Admission test. A check belongs in roll-lint iff it (a) detects the codebase disagreeing with itself, or (b) is a floor standard verifiable from source with high confidence. Anything requiring rendered-output inference, external taste values, or content judgment is out.
- Exception-only reporting. Census everything; surface exceptions only. Clean dimensions compress to a single summary line ("9 dimensions clean: shadows, dividers, durations…"). Report length is proportional to findings — a hard constraint, not a guideline. A report on an already-clean codebase fits on one screen.
- Appearance-material guard. Changes that visibly alter appearance — shadow-angle normalization, color merges above the near-duplicate threshold, divider consolidation — are never auto-applied, even in autonomous mode. They are always flagged with a proposed fix. Imperceptible corrections (grid snaps, unitless line-height conversion, sub-threshold gray merges) may be auto-applied.
- Score & Blueprint charters. The −2…+3 score is computed from the original core dimensions only, forever — newer checks are advisory and never move it, so scores stay comparable across runs. The Blueprint contains only tokenizable value scales. Diagnostics (affordance counts, contrast results) go in reports, never the Blueprint.
What ships with it
6 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 209 lines · 201 tokens per session scan A e44dd381a5a2
roll-lint is a skill published in the GitHub repository niharya/skills-drawer (2 stars, last pushed 2mo ago), licensed MIT. It adds 201 tokens to every session and 4,355 once invoked, about $0.0010 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 2026-08-31.
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