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 agentmods add skills/koolamusic/claudefiles/nitnpx skills add koolamusic/claudefiles --skill nitgit clone --depth 1 https://github.com/koolamusic/claudefilesWrote 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/koolamusic/claudefiles/nit)<a href="https://agentmods.dev/skills/koolamusic/claudefiles/nit"><img src="https://agentmods.dev/badge/skills/koolamusic/claudefiles/nit.svg" alt="Measured on agentmods" 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 | $0.00052 | $0.00906 |
| Opus 5 | $0.00026 | $0.00453 |
| Sonnet 5 | $0.00010 | $0.00181 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
nit 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 4d 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nit - Adversarial Bug Finding
Run a 3-agent adversarial nit hunt on your codebase. Each agent runs in isolation.
Target
The scan target is: $ARGUMENTS
If no target was specified, scan the current working directory.
Triage (Nit Ignore)
Nit respects a project-level ignore file at .claude/nitignore.md. This file tracks:
- intentional — findings that are by design (won't fix)
- remediated — findings that have already been fixed
Entries use a rule field formatted as category::description (e.g. security::hardcoded-token). Nit matches on file + rule to skip known findings.
A template is available at ${CLAUDE_SKILL_DIR}/references/nitignore-template.md.
Execution Steps
You MUST follow these steps in exact order. Each agent runs as a separate subagent via the Agent tool to ensure context isolation.
Step 1: Read the prompt files and check for ignore list
Read these files using the skill directory variable:
- ${CLAUDE_SKILL_DIR}/prompts/hunter.md
- ${CLAUDE_SKILL_DIR}/prompts/skeptic.md
- ${CLAUDE_SKILL_DIR}/prompts/referee.md
Also check if .claude/nitignore.md exists in the project root. If it does, read it and pass the ignore entries to each agent so they can skip already-triaged findings.
Step 2: Run the Hunter Agent
Launch a general-purpose subagent with the hunter prompt. Include the scan target in the agent's task. The Hunter must use tools (Read, Glob, Grep) to examine the actual code.
Wait for the Hunter to complete and capture its full output.
Step 2b: Check for findings
If the Hunter reported TOTAL FINDINGS: 0, skip Steps 3-4 and go directly to Step 5 with a clean report. No need to run Skeptic and Referee on zero findings.
Step 3: Run the Skeptic Agent
Launch a NEW general-purpose subagent with the skeptic prompt. Inject the Hunter's structured bug list (BUG-IDs, files, lines, claims, evidence, severity, points). Do NOT include any narrative or methodology text outside the structured findings.
The Skeptic must independently read the code to verify each claim.
What ships with it
4 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.
- 4d ago First seen · 94 lines · 52 tokens per session scan A 9293167af885
nit is a skill published in the GitHub repository koolamusic/claudefiles (132 stars, last pushed 5d ago), licensed MIT. It adds 52 tokens to every session and 906 once invoked, about $0.0003 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…