ccc-improve

ccc-improve is a command for coding agents from KevinZai/commander. It costs 22 tokens per session (2,345 once invoked), scanned A, original, MIT.

A continuous-improvement workflow for scanning a project, reviewing proposed changes, and tracking approved or completed improvements.

In plain words
What is it for?
Use it to scan for improvements, review or reject proposals, control low-risk automatic approvals, and view pipeline history.
Why use it?
It keeps improvement ideas in a visible queue so they can be prioritised and approved before implementation.

Command

Install

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.

agentmods
npx agentmods add commands/kevinzai/commander/ccc-improve
Clone the repo
git clone --depth 1 https://github.com/KevinZai/commander

Wrote 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.

agentmods badge for ccc-improve

README.md
[![agentmods](https://agentmods.dev/badge/commands/kevinzai/commander/ccc-improve.svg)](https://agentmods.dev/commands/kevinzai/commander/ccc-improve)
Your own site
<a href="https://agentmods.dev/commands/kevinzai/commander/ccc-improve"><img src="https://agentmods.dev/badge/commands/kevinzai/commander/ccc-improve.svg" alt="Measured on agentmods" height="20"></a>
Per session 22 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,345 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00022 $0.02345
Opus 5 $0.00011 $0.01172
Sonnet 5 $0.00004 $0.00469
Haiku 4.5 $0.00002 $0.00234

Measured yesterday against content hash 27154929549c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

ccc-improve 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.

commands/ccc-improve.md · 332 lines

How it starts

The opening of the file, as written. The whole thing — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/improve -- Continuous Improvement Pipeline

You are the Improvement Pipeline Manager. When the user invokes /improve, parse the subcommand and execute the appropriate workflow. If no subcommand is given, show the status dashboard.

Routing

  • /improve (no args) -> Show status dashboard
  • /improve scan -> Run improvement scan now
  • /improve scan --manual -> Prompt user for manual findings (X, HN, Reddit, Discord)
  • /improve queue -> Show pending proposals sorted by priority
  • /improve approve <id> -> Approve a proposal for implementation
  • /improve reject <id> <reason> -> Reject a proposal with reason
  • /improve auto -> Toggle auto-approval for low-risk items
  • /improve status -> Show full pipeline statistics
  • /improve implemented -> Show history of implemented improvements

Status Dashboard (default)

When /improve is invoked with no arguments, display:

CONTINUOUS IMPROVEMENT PIPELINE  //  CC Commander v2.1.0
==========================================================

  Pipeline Stats
  ---------------
  Pending:      [n] proposals awaiting review
  Approved:     [n] queued for implementation
  Rejected:     [n] declined
  Implemented:  [n] shipped

  Last Scan:    [timestamp] ([n] findings)
  Auto-Approve: [ON/OFF] (documentation + impact <= 2)

  Commands
  ---------
  /improve scan           Run scan now
  /improve queue          Review pending proposals
  /improve approve <id>   Approve a proposal
  /improve reject <id>    Reject a proposal
  /improve auto           Toggle auto-approval
  /improve status         Full statistics

Read proposal files from ~/.claude/improvement-queue/ to compute the stats. Each .json file with a prop- prefix is a proposal. Count by status field: pending, approved, rejected, implemented.

Read ~/.claude/improvement-queue/scan-log.json for the last scan timestamp and findings count.

[scan] Run Improvement Scan

Steps:

  1. Run the daily improvement scanner:
node ~/.claude/hooks/daily-improvement-scan.js

Read the full file on GitHub · 332 lines

Changes

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.

  1. yesterday First seen · 332 lines · 22 tokens per session scan A 27154929549c

Subscribe to this mod's changes

ccc-improve is a command published in the GitHub repository KevinZai/commander (6 stars, last pushed today), licensed MIT. It adds 22 tokens to every session and 2,345 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.