_{🌐 English · 中文}

CC Harness Skills

"The parts that separate a fun demo from a stable toolchain: memory, compression, verification, routing, proactive jobs."

Portable agent skills distilled from a publicly mirrored CC coding-agent codebase, then rewritten so they can be installed in Claude Code, Codex, and OpenClaw without depending on private runtime internals.

Quick Start

One-line install (any skills-compatible agent):

# all six skills
npx skills add LearnPrompt/cc-harness-skills -g

# or a single skill
npx skills add LearnPrompt/cc-harness-skills -s verification-gate -g

Run the basic bundle checks first:

bash ./skills/check_all.sh

Or copy one skill into a host runtime manually:

mkdir -p ~/.claude/skills
cp -R ./skills/dream-memory ~/.claude/skills/

Then invoke it in Claude Code:

Use /dream-memory to consolidate the memory directory before we continue.

mkdir -p ~/.codex/skills
cp -R ./skills/dream-memory ~/.codex/skills/

Then invoke it in Codex:

Use /dream-memory and consolidate recent memory files into one stable index.

mkdir -p ~/.openclaw/workspace/skills
cp -R ./skills/dream-memory ~/.openclaw/workspace/skills/

Then check it in OpenClaw:

openclaw skills info dream-memory

Publish to ClawHub after checks:

bash ./skills/publish_all.sh 0.1.0

This repo is not a source dump. It is a cleaned skill pack:

• prompts extracted into reusable templates
• host-agnostic helper scripts
• portable SKILL.md bundles
• release and smoke-test docs for public distribution

If you are building with coding agents, these are the parts that usually separate a fun demo from a stable toolchain:

• memory that stays useful instead of rotting
• compression that preserves user corrections
• verification that does not trust "done"
• multi-agent routing that does not pollute the main context
• proactive jobs with explicit limits

This repo packages those patterns into six installable skills.

Why This Exists

Most agent repos share the same hard problems:

• how to keep memory useful without storing stale code facts
• how to compress long conversations without losing user corrections
• how to verify claimed completion instead of trusting it
• how to coordinate multiple agents without turning the main context into garbage
• how to add lightweight proactive behavior without building a dangerous daemon

The six skills in this repo package those patterns into download-ready bundles.

Who This Is For

• builders who want better agent behavior without forking a full agent product
• teams using Claude Code, Codex, or OpenClaw and wanting a shared skill layer
• people studying CC-style harness design but needing something publishable and portable
• anyone who wants prompts plus scripts, not prompts alone

Skill Pack

Each bundle lives in skills/ and includes:

• SKILL.md
• references/prompt-template.md
• references/source-notes.md
• scripts/...
• README.md

Start Here

If you only try three things, try these first:

1. install dream-memory
2. install verification-gate
3. install structured-context-compressor

That gives you one memory workflow, one quality gate, and one continuation artifact. It is the fastest way to feel whether this repo is useful.

Release Docs

• Publisher guide: skills/README.md
• Release order and copy: skills/RELEASE_PLAN.md
• Smoke-test report: skills/TEST_REPORT.md

Naming

Recommended public GitHub repo name: cc-harness-skills

Good alternatives:

• cc-agent-skills
• cc-harness-kit
• cc-portable-skills

The public naming uses CC on purpose: it signals the origin of the ideas without hard-coding a full vendor product name into the repo identity.

What Is Verified

Latest smoke-test status:

• Claude Code: six skills load successfully
• OpenClaw: six skills resolve as Ready
• Codex: bundle structure is verified; runtime smoke test is pending local auth

Full report: skills/TEST_REPORT.md

Project Layout

skills/
  dream-memory/
  memory-extractor/
  verification-gate/
  swarm-coordinator/
  structured-context-compressor/
  kairos-lite/

Internal working notes and non-publishable local experiments still live under .codex/skills/, but the public release surface for this project is the root skills/ directory.