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-plan-execnpx skills add KevinZai/commander --skill ccc-plan-execgit clone --depth 1 https://github.com/KevinZai/commanderWhat 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 | $0.00044 | $0.02094 |
| Opus 5 | $0.00022 | $0.01047 |
| Sonnet 5 | $0.00009 | $0.00419 |
| Haiku 4.5 | $0.00004 | $0.00209 |
Grade A, and why
ccc-plan-exec 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 2d 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
$ccc-plan-exec — Plan Cheap, Execute Capable
Plan-exec splits work into two phases on two models. A cheap, fast model drafts the plan — the step list, the loop body, the structure. Then a capable model (Opus/Fable) executes each step. You write a loop, not a one-shot prompt: the structure is decided once, cheaply, then run N times against the expensive reasoner only where reasoning earns its cost.
CC Commander · Plan-Exec Mode · Docs
Plan-exec is the canonical workflow-first doctrine (
commander/cowork-plugin/rules/workflow-first.md) applied to cost: let the cheap model decide the shape, let the capable model do the thinking. Motto: "Pay for Fable on the thinking, not the typing."
Write loops, not prompts
A prompt is a one-shot: "do this whole thing." A loop is a structure plus a body that repeats: "for each item, do the body." The loop body is small, predictable, and capable-model-worthy. The structure around it — the item list, the order, the guards — is boring scaffolding a cheap model nails for cents.
| One-shot prompt | Loop (plan-exec) | |
|---|---|---|
| Who plans | Capable model (wasteful) | Cheap/fast model |
| Who executes | Capable model | Capable model, per step |
| Cost shape | Pay expensive for scaffolding + thinking | Pay cheap for scaffolding, expensive only for thinking |
| Failure mode | Whole run dies, re-pay everything | One step retries, rest survives |
| Verifiability | Monolithic blob | Step-by-step, each checkable |
If the work decomposes into "the same body, N times," it's a loop. Plan it cheap.
Terminology: "loop" here is the plan-exec sense — a repeating per-step body inside one run. The $ccc-loop taxonomy names the session-level loops (/loop interval re-prompts, /goal converge-until-gate, /schedule cron routines). A plan-exec loop that must repeat until an external gate holds (tests green, criteria met) graduates into a /goal loop — use that primitive rather than hand-rolling retries.
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.
- 2d ago First seen · 137 lines · 44 tokens per session scan A c061f01b7dff
ccc-plan-exec is a skill published in the GitHub repository KevinZai/commander (6 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 2,094 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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