jed-zed/trellis-ccg-harness/ccg-execute
- community
Checking that the SKILL.md file is still in the repository.
Execute a canonical Trellis task plan or standalone CCG plan with Codex as orchestrator and independently configured role providers. Use when the user invokes /ccg:execute or asks Codex to execute a task directory, its implement.md, or a .codex/ccg/plans/*.md file.
Install
npx vskill@latest install jed-zed/trellis-ccg-harness/ccg-executeSKILL.md
Research
Use existing independent research agents with grok-search MCP. Search actively and verify key conclusions against original sources; check versions/licenses when reusing code and experiment conditions when adopting papers. Mark unverified findings. Archived instructions below are inactive: ordinary work does not run Grok CLI/ACP, wait for its gates, or require its manifests and hash packages.
<!-- Legacy Grok CLI/ACP reference; inactive in ordinary research.
Automatic External Intelligence Gate
Before ordinary work, run the shared route once from the controller:
ccg-codex route --workflow execute --phase intake --task-file ".ccg/tasks/<task-id>/intelligence-request.md" --state-file ".ccg/tasks/<task-id>/intelligence-route.json"
Run this potentially long route with the host's tool-managed background execution and wait mechanism; never put it under a foreground timeout shorter than the runner's 10-minute timeout. If the host cancels or terminates the job before a terminal state is written, run ccg-codex route recover --state-file <state-file> --status cancelled --reason "<reason>" (or use --status failed); recovery refuses to overwrite a live owner.
Append existing --plan, --diff, --target, and repeatable --dependency paths whenever those artifacts are available. Add --semantic-mode contract|incident --semantic-reason "<Codex judgment>" only for an explicit semantic decision. The runtime honors disabled config, persists the decision reason, and must be re-run after plan, dependency, target, diff, or phase digest changes. Stop ordinary work on exit code 2, 3, or 4 only for an explicit required semantic route; advisory search failures do not block ordinary work. -->
CCG Execute
Load and follow skills/ccg-executor/SKILL.md.
Apply the executor's Input Handling and Trellis approval handoff to a task directory, its implement.md, a CCG plan path, or task description. With Trellis, reuse the selected canonical task plan and its covered approval; standalone plans live under .codex/ccg/plans/*.md. Resolve each needed role through ccg-codex routing get <role> --json; Codex owns context gathering, final code edits, verification, review synthesis, and Chinese delivery.
When a role selects Gemini, run the bundled ../ccg-executor/scripts/invoke_gemini_preview.py foreground command in a tool-managed background job and monitor it until completion. Do not pass --detach or call the raw Gemini CLI. For Claude, Antigravity, Grok, or Pi, run ccg-codex wrapper --backend <provider> --progress - "<workdir>"; pass the prompt through stdin and do not add --lite. Treat all external diffs as dirty prototypes, not final code.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingcomponents/ccg-workflow/plugins/ccg/skills/ccg-execute/SKILL.md
Popularity
- Repository stars
- 1
- 7-day trend score
- 5
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
- Claude Code
- Cursor
- GitHub Copilot
- Windsurf
- Codex
- Gemini CLI
- Cline
- Amp
- Roo Code
- Goose
- Continue
- Kilo Code
- Junie
- Trae
- OpenHands
- Qwen Code
- AI Agent
- Tabnine Chat
- Sourcegraph Cody
- Amazon Q
- Firebase Genkit
- Sweep
- Devin
- Phind
- Mentat
- Claude Desktop
- Aider
- GPT Pilot
- Plandex
- bolt.new
- v0
- Replit Agent
- Anse
- TypingMind
- BetterChatGPT
- LibreChat
- Warp AI
- Pieces
- Fig AI
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