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/kevinzai/commander/ccc-makeovernpx skills add KevinZai/commander --skill ccc-makeovergit clone --depth 1 https://github.com/KevinZai/commanderWrote 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/kevinzai/commander/ccc-makeover)<a href="https://agentmods.dev/skills/kevinzai/commander/ccc-makeover"><img src="https://agentmods.dev/badge/skills/kevinzai/commander/ccc-makeover.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 | $0.00047 | $0.00796 |
| Opus 5 | $0.00023 | $0.00398 |
| Sonnet 5 | $0.00009 | $0.00159 |
| Haiku 4.5 | $0.00005 | $0.00080 |
Grade A, and why
ccc-makeover 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 4d 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 — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
$ccc-makeover — Project makeover hub
Load ONE skill. Get the full project makeover pipeline. Audit → score → fix in one pass.
Built on /ultrareview (v2.1.111 native) — the xray sub-skill wraps /ultrareview for deep multi-dimensional analysis, extending it with the CCC scoring framework.
Sub-Skills
| Sub-Skill | Focus |
|---|---|
xray |
Full project health scan — 6 dimensions, 0-100 score, maturity level (1-5), prioritized recommendations |
makeover |
Auto-apply top xray recommendations — runs xray first, applies fixes, tracks score delta |
report-card |
Health reporting — formatted score card with per-dimension bars and improvement history |
Health Dimensions (xray)
- Security — vulnerability exposure, secrets, dependency health
- Testing — coverage, test quality, CI integration
- DevOps — deployment, monitoring, incident readiness
- Code Quality — complexity, duplication, tech debt
- Documentation — coverage, accuracy, onboarding clarity
- Performance — bundle size, query efficiency, load times
No expressed intent? Present the top 3 sub-skills + "More…" as an AskUserQuestion picker (≤4 options).
Routing Matrix
| Your Intent | Route To |
|---|---|
| "Audit my project" / "Health check" | xray |
| "Fix the top issues automatically" | makeover (runs xray first) |
| "Show my score" / "Report card" | report-card |
Standard Makeover Flow
xray→ scan and score across 6 dimensions- Review prioritized recommendations (P0–P3)
makeover→ auto-applies P0 and P1 recommendations in orderreport-card→ before/after score comparison- Repeat each sprint — score should trend up
When to Use
- Starting work on an unfamiliar codebase
- Before a production release — catch gaps before they ship
- After a sprint — measure improvement over time
- When the team asks "how healthy is our codebase?"
When to invoke this skill
Example 1
- user: audit this project and tell me what's wrong
- assistant: Loads ccc-makeover and runs xray — 6-dimension health scan with 0-100 score, maturity level 1-5, and prioritized skill recommendations.
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.
- 4d ago First seen · 77 lines · 47 tokens per session scan A c25b4cf919a5
ccc-makeover is a skill published in the GitHub repository KevinZai/commander (6 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 796 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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