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 KevinZai/commander --skill ccc-datagit 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-data)<a href="https://agentmods.dev/skills/kevinzai/commander/ccc-data"><img src="https://agentmods.dev/badge/skills/kevinzai/commander/ccc-data/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/kevinzai/commander/ccc-data"><img src="https://agentmods.dev/badge/skills/kevinzai/commander/ccc-data.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00062 | $0.01373 |
| Opus 5.5 | $0.00025 | $0.00549 |
| Sonnet 5.5 | $0.00012 | $0.00275 |
| Haiku 4.5 | $0.00006 | $0.00137 |
Grade A, and why
ccc-data 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 3d 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
$ccc-data — data work, routed
CC Commander · $ccc-data · the right data method for the job, applied to your stack.
Data sub-skills (data-pipeline, sql-optimization, data-visualization, machine-learning, data-quality, analytics-setup, reporting, vector-search) ship with the Commander CLI toolkit. Invoke one with the Skill tool when it is listed in this session; otherwise apply the focus in references/routing.md. The user's selected model is preserved.
Codex: ask pickers as plain-text questions; write dashboards to a local HTML file instead of publishing.
When to use / when not to
- Use for pipelines, warehouse and query work, dashboards, ML models, data validation, analytics instrumentation, recurring reports and embeddings.
- Use
$ccc-research(data-ingestion) to summarize a large document,$ccc-saas(database-designer) to design an application schema,$ccc-smb-opsfor owner-level cash and expense numbers.
What happens
1. Detect the stack
Run in one Bash call, silent on failure:
ls dbt_project.yml dags airflow.cfg dagster.yaml workspace.yaml requirements.txt pyproject.toml 2>/dev/null
test -f package.json && grep -oE '"(posthog-js|mixpanel-browser|recharts|chart\.js|d3|@tremor/react|@pinecone-database/pinecone|@qdrant/js-client-rest|pg|drizzle-orm|prisma)"' package.json | sort -u
grep -lE 'pgvector|scikit-learn|torch|tensorflow|pandas|polars' requirements.txt pyproject.toml 2>/dev/null
Render one line:
📊 Stack:
<tools detected | none detected>
2. Route by intent, or ask
An argument or a clear intent routes straight to the sub-skill in references/routing.md. A request that spans several (an analytics stack, an ML feature) follows the matching campaign in that file, one sub-skill per step.
Otherwise ask with AskUserQuestion (header "Data"), recommended first:
- 🟢 Build or fix a pipeline —
data-pipeline(Airflow, dbt, Dagster, incremental loads) - Speed up queries —
sql-optimization(plans, indexes, rewrites) - Chart or dashboard —
data-visualization - More — ML, data quality, analytics, reports or vector search (a follow-up picker with the four best matches)
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.
- 3d ago Changed · +18 lines · +27 tokens per session c509f8a4163b
- 1mo ago First seen · 80 lines · 35 tokens per session scan A 7354a46b87af
ccc-data is a skill published in the GitHub repository KevinZai/commander (6 stars, last pushed yesterday), licensed MIT. It adds 62 tokens to every session and 1,373 once invoked, about $0.0002 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 2026-08-31.
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