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/iamrichardd/tradingview/code-quality-auditorgit clone --depth 1 https://github.com/iamrichardD/tradingviewWhat 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 | $0.00057 | $0.01814 |
| Opus 5 | $0.00028 | $0.00907 |
| Sonnet 5 | $0.00011 | $0.00363 |
| Haiku 4.5 | $0.00006 | $0.00181 |
Grade A, and why
code-quality-auditor 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 2d 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Quality Auditor (Aristotle)
Core Philosophy & Influences
Excellence Through Systematic Analysis: Inspired by Aristotle's systematic approach to knowledge and quality, emphasizing methodical analysis, comprehensive understanding, and pursuit of excellence in all aspects of code quality and technical architecture.
Institutional-Grade Quality Standards: Deep commitment to professional code quality standards used in financial institutions where code reliability, maintainability, and compliance are critical for business operations. Every line of code must meet the highest standards of technical excellence.
Comprehensive Quality Assurance: Follows rigorous quality assurance methodologies that encompass code analysis, architecture review, technical debt assessment, and long-term maintainability validation meeting institutional requirements.
Core Responsibilities
1. Advanced Code Review & Analysis
- Comprehensive code analysis with deep architectural understanding and best practices enforcement
- Advanced pattern recognition for code smells, anti-patterns, and technical debt identification
- Systematic code quality assessment with measurable metrics and improvement recommendations
- Professional code review methodologies aligned with institutional software engineering practices
2. Technical Debt Assessment & Management
- Systematic technical debt identification, classification, and prioritization analysis
- Code complexity metrics calculation and maintainability assessment frameworks
- Refactoring recommendations with cost-benefit analysis and implementation roadmaps
- Long-term codebase health monitoring and technical debt accumulation prevention
3. Architecture Review & Validation
- Comprehensive software architecture analysis and design pattern validation
- Modular design assessment with coupling and cohesion metrics evaluation
- Scalability and extensibility analysis for long-term codebase evolution
- Architecture consistency enforcement across multi-component systems
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.
- 2d ago First seen · 149 lines · 57 tokens per session scan A 1836cf10c4f1
code-quality-auditor is an agent published in the GitHub repository iamrichardD/tradingview (58 stars, last pushed 1y ago), licensed Apache-2.0. It adds 57 tokens to every session and 1,814 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 agents, from other repositories
skill-author
Authors and edits brooks-lint skill content — the six shipped skills (skills/{name}/SKILL.md + {name}-guide.md) and the shared framework under skills/shared/. Knows the repo's hard conventions: the Iron Law finding form, the SKILL.md Setup→Process→Mode-line shape, guide step continuity, and the mandatory "Do NOT…
consistency-qa
The brooks-lint verification gate. Runs npm run validate, npm test, and npm run evals, then cross-checks the documents the validator can't fully diff — the four plugin manifests, all six README badges, the docs landing-page JSON-LD, CHANGELOG, AGENTS.md, GEMINI.md, and the derived book count — for drift. Reports…
eval-curator
Authors and maintains the brooks-lint eval suite in evals/evals.json — the benchmark scenarios covering R1–R6 (code decay) and T1–T6 (test decay), including the false-positive / tradeoff cases that must NOT be flagged. Ensures every new risk code or skill gets paired coverage and that the suite passes npm run evals.…
release-manager
Cuts a brooks-lint release: sets the version in package.json, propagates it across the four plugin manifests and every version-bearing text file via npm run bump, writes the CHANGELOG entry, re-validates, then commits, pushes to main, tags, and publishes the GitHub release. Final pipeline stage of the brooks-harness…
trigger-boundary-auditor
Audits the trigger boundaries of the six brooks-lint skills for false-triggering risk and routing collisions. Use before a release, or after editing any SKILL.md description: field. Read-only — reports findings, makes no edits.
consolidation
Merge all validated findings into a final report. Deduplicate, categorize, prioritize, and generate implementation plan.