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/kensaurus/cursor-kenji/audit-code-qualitynpx skills add kensaurus/cursor-kenji --skill audit-code-qualitygit clone --depth 1 https://github.com/kensaurus/cursor-kenjiWrote 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/kensaurus/cursor-kenji/audit-code-quality)<a href="https://agentmods.dev/skills/kensaurus/cursor-kenji/audit-code-quality"><img src="https://agentmods.dev/badge/skills/kensaurus/cursor-kenji/audit-code-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 | $0.00056 | $0.02281 |
| Opus 5 | $0.00028 | $0.01141 |
| Sonnet 5 | $0.00011 | $0.00456 |
| Haiku 4.5 | $0.00006 | $0.00228 |
Grade A, and why
audit-code-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 yesterday.
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 — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Code Quality Audit
Degree of freedom: MIXED — Parts 1–2 judgment [HIGH freedom]; convention
greps and Validation [LOW freedom — run exactly].
Audit-and-fix exception. Detect and then fix. Not present-then-stop.
Repo-wide React/TypeScript anti-patterns plus naming, organisation, and
pattern consistency. A named PR/diff → audit-code-review.
How to reason
- Observe — quote the smell (
file:line) and whethergit blame/ CONTRIBUTING marks it intentional - Interpret — bug/perf risk, or style-only drift?
- Classify — anti-pattern / naming / organisation / pattern-split / intentional
- Severity — runtime bug or data-fetch
useEffect= High; naming-only = Low
Worked example
Observe:
components/PaymentForm.tsxhas'use server'and auseEffectthat fetches invoices; four sortable lists usekey={i}. Interpret: server action lives in UI; fetch refires on remount; reorder remounts rows. Classify: organisation +useEffect-for-data + index-as-key. Severity: High (actions-in-components); Medium (keys). Finding:PaymentForm.tsx| High | move action tofeatures/*/server/; replace fetch effect with TanStack Query
Before any change [LOW freedom — run exactly]
cat CONTRIBUTING.md .cursor/rules/*.md 2>/dev/null | head -100 # existing conventions
git log --oneline -20 | grep -i "convention\|pattern\|style" # recent decisions
Verify the "inconsistency" isn't intentional. Check git blame before touching working code.
Part 1 — Anti-patterns [HIGH freedom]
React
Props drilling → Context or composition
// Bad: prop drilled through 5+ levels
<Layout user={user}><Sidebar user={user}><UserMenu user={user}><Avatar user={user} />
// Fix: context for global state
const UserContext = createContext<User | null>(null)
const useUser = () => useContext(UserContext)
// Fix: composition for UI concerns
<Layout><Layout.Sidebar><UserMenu /></Layout.Sidebar></Layout>
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.
- yesterday First seen · 306 lines · 56 tokens per session scan A c84d9114533c
audit-code-quality is a skill published in the GitHub repository kensaurus/cursor-kenji (9 stars, last pushed 7d ago), licensed MIT. It adds 56 tokens to every session and 2,281 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 2026-09-03.
Other skills, from other repositories
comprehensive-enrichment
Enrich any person or company from any identifier — email, name, LinkedIn URL, domain, company name, Twitter/X handle. Use when asked to enrich, look up, or research a lead, contact, person, or company.
paid-channel-prioritizer
For founders who don't know where to start with paid ads. Analyzes ICP, competitor ad presence, budget constraints, and product type to recommend which 1-2 paid channels to start with and provides a 90-day ramp plan. Prevents the common mistake of spreading a small budget across too many platforms.
data-charts-tako
Search and visualize the world's data - get charts, insights, and embeddable knowledge cards for finance, economics, demographics, sports, and more.
lead-discovery
Orchestrator that runs first for lead generation requests. Gathers business context via website analysis or questions, identifies competitors, builds ICP, and routes to signal skills with pre-filled inputs.
render-cosmic-mythology-voiceover
Assemble a cosmic-mythology-voiceover reel from a config — a warm spoken voiceover carries the whole narrative while N curated cosmic stills are weighted beat-synced across the delivered VO duration (cutdur = VOdur times weight over the weight sum, so emotional beats hold longer), Ken-Burns-zoomed per still (scale 2x…
review-scraper
Scrape product reviews from G2, Capterra, and Trustpilot using Apify. Single script with platform dispatch. Use when you need to monitor competitor reviews, track product sentiment, or gather customer feedback from review sites.