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 notque/vexjoy-agent --skill comment-qualitygit clone --depth 1 https://github.com/notque/vexjoy-agentWrote 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/notque/vexjoy-agent/comment-quality)<a href="https://agentmods.dev/skills/notque/vexjoy-agent/comment-quality"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/comment-quality/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/notque/vexjoy-agent/comment-quality"><img src="https://agentmods.dev/badge/skills/notque/vexjoy-agent/comment-quality.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 | $0.00012 | $0.01737 |
| Opus 5.5 | $0.00005 | $0.00695 |
| Sonnet 5.5 | $0.00002 | $0.00347 |
| Haiku 4.5 | $0.00001 | $0.00174 |
Grade A, and why
comment-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 25d 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 — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Comment Quality Skill
Review code comments for temporal references, development-activity language, and relative comparisons. Produces structured reports with actionable rewrites that explain WHAT the code does and WHY, only WHAT the code does and WHY. Supports .go, .py, .js, .ts, .md, and .txt files.
Instructions
Phase 1: SCAN
Goal: Identify all comments containing temporal, activity, or relative language.
Step 1: Determine scope
Read the repository CLAUDE.md first to pick up any project-specific comment conventions.
Scan only what was requested. If user specifies files, scan those files. If user specifies a directory, scan that directory. Honor the explicit scope -- even if you suspect other files have issues, honor the explicit scope and suggest expansion separately at the end.
If user explicitly requests auto-fix, enable it. Otherwise present findings for review. For large codebases, group findings by directory when reporting.
Step 2: Search for temporal patterns
Flag every instance of the following categories. No temporal word is "harmless" -- all temporal language ages poorly and must be rewritten regardless of how innocuous it seems:
- Temporal words: "new", "old", "previous", "current", "now", "recently", "latest", "modern"
- Development activity: "added", "removed", "deleted", "updated", "changed", "modified", "fixed", "improved", "enhanced", "refactored", "optimized"
- State transitions: "replaced", "migrated", "upgraded", "deprecated", "became", "turned into", "evolved"
- Date references: "as of", "since", "from", "after", "before"
- Relative comparisons: "better than", "faster than", "instead of", "unlike the previous"
Step 3: Filter false positives
Exclude from findings -- these are not developer comments and must remain untouched:
- Copyright and license headers (legal requirements, not code comments)
@generatedmarkers (tooling markers)@deprecatedannotations (keep the tag, flag only temporal explanation text after it)- Variable names or string literals that happen to contain temporal words
- TODO/FIXME items that describe future work without temporal references
What ships with it
8 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.
- references/error-handling-patterns.md 9.8 KB
- references/examples.md 12 KB
- references/go-comment-patterns.md 7.5 KB
- references/performance-patterns.md 12 KB
- references/preferred-patterns-language-specific.md 3.9 KB
- references/preferred-patterns.md 14 KB
- references/temporal-keywords.txt 2.1 KB
- scripts/validate.py 7.5 KB runs code
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.
- 26d ago Changed · -166 lines · +13 tokens per session 4f80528c00d9
- 27d ago Changed · -10 lines 0e11da70ab2d
- 1mo ago First seen · 202 lines · 12 tokens per session scan A f624d7a0c474
comment-quality is a skill published in the GitHub repository notque/vexjoy-agent (442 stars, last pushed today), licensed MIT. It adds 12 tokens to every session and 1,737 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-09-03.
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