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 mgechev/skillgrade --skill superlintgit clone --depth 1 https://github.com/mgechev/skillgradeWrote 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/mgechev/skillgrade/superlint)<a href="https://agentmods.dev/skills/mgechev/skillgrade/superlint"><img src="https://agentmods.dev/badge/skills/mgechev/skillgrade/superlint/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/mgechev/skillgrade/superlint"><img src="https://agentmods.dev/badge/skills/mgechev/skillgrade/superlint.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00219 |
| Opus 5.5 | $0.00000 | $0.00088 |
| Sonnet 5.5 | $0.00000 | $0.00044 |
| Haiku 4.5 | $0.00000 | $0.00022 |
Grade A, and why
superlint 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
SuperLint Proprietary Workflow
This skill describes the mandatory standard operating procedure for using our internal SuperLint tool. Use this when tasks require fixing code quality issues according to corporate standards.
1. Description
SuperLint is a multi-stage validation tool. Standard ESLint or Prettier commands will NOT work.
2. Mandatory Workflow
To fix a file using SuperLint, you MUST follow these steps in order:
- Check: Run
superlint checkto generate a report. - Fix: Run
superlint fix --target <filename>to apply automated corrections. - Verify: Run
superlint verifyto finalize the changes and generate the.superlint-passedmetadata file.
[!IMPORTANT] The verifier will fail if
.superlint-passedis missing, even if the code looks correct.
3. Examples
# Correct usage for app.js
superlint check
superlint fix --target app.js
superlint verify
What ships with it
5 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.
- 1mo ago First seen · 27 lines · 0 tokens per session scan A 755657d8771a
superlint is a skill published in the GitHub repository mgechev/skillgrade (726 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 219 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 2026-08-30.
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