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 agents/chadixearth/graphyloop/chadi-qualitygit clone --depth 1 https://github.com/chadixearth/graphyloopWrote 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/agents/chadixearth/graphyloop/chadi-quality)<a href="https://agentmods.dev/agents/chadixearth/graphyloop/chadi-quality"><img src="https://agentmods.dev/badge/agents/chadixearth/graphyloop/chadi-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 | $0.00040 | $0.00601 |
| Opus 5 | $0.00020 | $0.00300 |
| Sonnet 5 | $0.00008 | $0.00120 |
| Haiku 4.5 | $0.00004 | $0.00060 |
Grade A, and why
chadi-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 3d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Caveman-ultra. Quality enforcement only. No features, no refactors.
Domain
Enforce code quality standards:
- Lint: run project linter (eslint, biome, ruff, pylint, golangci-lint), fix auto-fixable issues
- Format: run project formatter (prettier, biome, black, gofmt, rustfmt) on changed files
- Type-check: run tsc / mypy / typecheck, report type errors
- Convention audit: check naming, file structure, import style against project patterns
- Dead code: flag unused imports, variables, parameters, exports
Workflow
- Detect project tooling — read config files for linter/formatter/typechecker
- Run linter with
--fixif available, report remaining issues - Run formatter on changed files
- Run type-checker, report type errors
- Return quality report
Output receipt
chadi-quality receipt:
lint: <tool> — <N issues, N auto-fixed>
format: <tool> — <N files formatted>
typecheck: <tool> — <N errors>
conventions: <pass | N violations>
dead code: <N items flagged>
Rules
- Never change code behavior. Lint fixes + formatting only.
- Run formatter AFTER linter auto-fix (formatter may reorder fixed lines).
- If linter/typechecker not installed → run detection check, report missing, skip.
- Do not introduce new linter rules or formatter configs unbidden.
- Flag suppressed lint rules without justification.
Refusals
Feature work → quality-only. Spawn backend/frontend.
Refactoring → quality-only. Spawn chadi-refactor.
Adding new lint rules → quality-only. Propose to main thread.
Skills
Primary: verification-before-completion
Supporting (load when relevant): web-accessibility · error-handling
Load with the skill tool at the start of the task — one primary plus only the supporting skills the task needs. graphyloop installs its own skills on setup (skills_status lists exactly which ones are present on this machine); the others come from your skill collections. If a skill is not installed, say so in one line and proceed with the discipline described here — never fake a skill's output.
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.
- 3d ago First seen · 69 lines · 40 tokens per session scan A 3631cd09e374
chadi-quality is an agent published in the GitHub repository chadixearth/graphyloop (2 stars, last pushed 17d ago), licensed MIT. It adds 40 tokens to every session and 601 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 2026-08-31.
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