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 commands/kevinzai/commander/ccc-compoundgit 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/commands/kevinzai/commander/ccc-compound)<a href="https://agentmods.dev/commands/kevinzai/commander/ccc-compound"><img src="https://agentmods.dev/badge/commands/kevinzai/commander/ccc-compound.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 | $0.00019 | $0.00862 |
| Opus 5 | $0.00010 | $0.00431 |
| Sonnet 5 | $0.00004 | $0.00172 |
| Haiku 4.5 | $0.00002 | $0.00086 |
Grade A, and why
ccc-compound 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 today.
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 — 124 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Compound — Post-Task Learning Capture
Inspired by Compound Engineering by Every.to
Each unit of work makes the next one slightly cheaper. Extract the signal, persist it, move on.
Argument: {{input}}
- No argument = capture learnings from the current session
review= display all accumulated lessons without adding new onesprune= review lessons and remove outdated or irrelevant entries
If review
Read tasks/lessons.md and ~/.claude/learned-skills/ contents. Display a summary:
COMPOUND REVIEW
Lessons: X entries across Y categories
Learned Skills: Z entries
[grouped list of lessons by date, most recent first]
Stop here. Do not extract or persist anything.
If prune
Read tasks/lessons.md. For each entry, evaluate whether it is still relevant given the current codebase and project CLAUDE.md. Present entries to remove with rationale, then ask for confirmation before deleting.
Stop here after pruning.
Default: Capture Learnings
1. Review What Just Happened
Run in parallel:
git log --oneline -10— recent commitsgit diff --stat HEAD~3— recent file changes
Then review the conversation context for decisions made, corrections received, and patterns discovered.
2. Extract Learnings
Organize into three categories:
Patterns Discovered:
- Code patterns that worked well (architecture, data flow, API design)
- Effective tool or library usage worth repeating
- Workflow sequences that were efficient
Mistakes & Corrections:
- What went wrong and the root cause
- What the fix was
- How to prevent this class of error in the future
Decisions & Rationale:
- Key decisions made and WHY (not just what)
- Alternatives considered and rejected
- Constraints that drove the decision
Skip any category with nothing meaningful to report.
3. Persist
- Append actionable entries to
tasks/lessons.md(create the file if it does not exist). Use the format:## YYYY-MM-DD — [session summary] ### Patterns - [pattern] ### Corrections - [mistake] -> [fix] -> [prevention rule] ### Decisions - [decision]: [rationale] - If a pattern is broadly reusable, suggest adding it to the project CLAUDE.md.
- If a correction reveals a gap in existing rules, suggest a specific new rule.
- Check
~/.claude/learned-skills/and suggest new learned skill entries if appropriate.
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.
- today First seen · 124 lines · 19 tokens per session scan A 2463ed426d82
ccc-compound is a command published in the GitHub repository KevinZai/commander (6 stars, last pushed yesterday), licensed MIT. It adds 19 tokens to every session and 862 once invoked, about $0.0001 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 commands, from other repositories
debug
Systematic debugging with hypotheses and evidence gathering.
review
Run a Codex code review of your working tree or a branch (read-only).
specmanager-build
Build one phase of a SpecManager feature's plan via the builder subagent. Stops at the phase boundary; never advances.
adv-codex
Send a prompt to Codex CLI and return the response.
execute
Execute the next available tracked task with TDD, pre-commit validation, PR creation, AI code review, and issue tracker bridge sync.
planning-triage
Quick-score an enhancement, bug, or feedback item using the impact-first triage framework. Creates an issue if approved.