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/tam159/next-role/qualitynpx skills add tam159/next-role --skill qualitygit clone --depth 1 https://github.com/tam159/next-roleWrote 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/tam159/next-role/quality)<a href="https://agentmods.dev/skills/tam159/next-role/quality"><img src="https://agentmods.dev/badge/skills/tam159/next-role/quality.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 | $0.00043 | $0.00328 |
| Opus 5 | $0.00022 | $0.00164 |
| Sonnet 5 | $0.00009 | $0.00066 |
| Haiku 4.5 | $0.00004 | $0.00033 |
Grade A, and why
quality 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.
What it actually says
Quality
Run validation the way CLAUDE.md defines it for this repo.
Default Changed-File Check
After code edits, validate all modified and untracked files once at the end:
pre-commit run --files $(git ls-files --modified --others --exclude-standard)
If hooks auto-fix a file, re-read that file before summarizing the result.
Full Sweep
When the user asks for a full quality pass or broad repository validation, run:
pre-commit run --all-files
Targeted Checks
- Backend fast tests:
cd backend && uv run pytest - Backend single test file:
cd backend && uv run pytest tests/path/test_file.py - Backend integration tests:
cd backend && uv run pytest -m integration - Frontend full test suite:
cd frontend && pnpm test - Frontend type check:
cd frontend && pnpm type-check - Frontend all-in-one check:
cd frontend && pnpm quality
Use targeted checks before the changed-file pre-commit run when they give faster, more relevant feedback.
Local Stack
If integration tests or visual checks need services and docker ps shows the stack is not running, remind the user to run docker compose up -d. Do not silently start the stack yourself.
What ships with it
1 file 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 · 42 lines · 43 tokens per session scan A a53b67abf3be
quality is a skill published in the GitHub repository tam159/next-role (49 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 328 once invoked, about $0.0002 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.
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