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 liza-mas/liza --skill code-quality-assessmentgit clone --depth 1 https://github.com/liza-mas/lizaWrote 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/liza-mas/liza/code-quality-assessment)<a href="https://agentmods.dev/skills/liza-mas/liza/code-quality-assessment"><img src="https://agentmods.dev/badge/skills/liza-mas/liza/code-quality-assessment/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/liza-mas/liza/code-quality-assessment"><img src="https://agentmods.dev/badge/skills/liza-mas/liza/code-quality-assessment.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 | $0.00017 | $0.05967 |
| Opus 5 | $0.00009 | $0.02984 |
| Sonnet 5 | $0.00003 | $0.01193 |
| Haiku 4.5 | $0.00002 | $0.00597 |
Grade A, and why
code-quality-assessment 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 9d 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 — 564 lines — stays where its author put it; the contents beside it link to each section on GitHub.
REPORT_FILE = specs/architecture/code_quality_assessment.md
Target directories: If the target directory for REPORT_FILE does not exist, create it. The assessment is the first artifact that justifies the directory's existence.
Recommended Tools: Make sure you've read ~/§BRAND_GLOBAL_DIRNAME§/AGENT_TOOLS.md list_directory_tree and codebase_search (fast and token-efficient semantic search) may be specifically useful.
Quality is not a binary. Measure it, grade it, and direct investment where it will compound.
Invoked for: periodic health checks, pre-refactoring assessment, onboarding orientation, or explicit code quality evaluation.
Process
Metrics Collection → Subsystem Analysis → Synthesis → Recommendations
Templates anchor cognition. Complete each phase before the next. The skill is a measurement framework to apply to what you found, not boxes to fill with platitudes.
Report format: See references/report-format.md for the output template.
Modes
| Mode | When | Scope |
|---|---|---|
| Full Assessment | First assessment, periodic health check, major milestone | All phases, all sections, full report |
| Targeted Assessment | Evaluate specific subsystem(s) or concern area | Scoped metrics + analysis for named components only |
| Reassessment | After refactoring or significant changes | Delta comparison against previous REPORT_FILE |
| Enrichment | Improve coverage of existing assessment | Independent analysis → merge → verify → update |
| Quick Health Check | Verify existing findings still hold | Metrics refresh + finding verification only |
Phase applicability:
| Mode | Phase 1 (Metrics) | Phase 2 (Subsystem Analysis) | Phase 3 (Synthesis) | Phase 4 (Recs) | Output |
|---|---|---|---|---|---|
| Full Assessment | ✓ Complete | ✓ Complete | ✓ Complete | ✓ Complete | New REPORT_FILE |
| Targeted Assessment | Scoped | Scoped | Scoped | Scoped | Targeted section in REPORT_FILE |
| Reassessment | ✓ Fresh | Delta comparison | Update | Update | Revised REPORT_FILE |
| Enrichment | ✓ Fresh (independent) | Update (add to existing) | Update | Update | Revised REPORT_FILE |
| Quick Health Check | Refresh only | Verify only | — Skip | — Skip | Updated metrics + verification notes |
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.
- 9d ago First seen · 564 lines · 17 tokens per session scan A 0a631b4e3573
code-quality-assessment is a skill published in the GitHub repository liza-mas/liza (372 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 5,967 once invoked, about $0.0001 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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