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Safely clone, inspect, and triage fresh GitHub repos without overusing disk or running risky code. Use when the user asks to clone many repos, evaluate bleeding-edge tools, install MCP servers, run unknown scripts, or harvest patterns from public repos.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Create, choose, adapt, and validate reusable Codex prompt templates that orchestrate skills, plugins, files, tools, and safety gates. Use when the user asks for massive prompts, prompt templates, reusable Codex prompts, plugin-orchestration prompts, marketplace prompt packs, or turning a prompt into a skill. Triggers: prompt template, reusable prompt, massive prompt, plugin stack prompt, prompt pack, turn this prompt into a skill. Skip when the user only needs a one-off short prompt with no reusable structure.
Route Codex work to the right supercharged workflow. Use when the user asks to improve their Codex setup, choose among skills, combine GitHub repos/MCP servers, reduce tokens, build agent workflows, or decide which local supercharge skill to invoke next. Use the boundary rules here when requests mention agents, evals, costs, guardrails, MCP, daemon/status workflows, or safety.
Detect drift between the Codex Supercharge plugin pack and installed copies under `$HOME/.codex/skills`, including copied `SKILL.md`, `references/`, and `scripts/` payloads. Use when behavior differs across machines/sessions or after editing plugin skills, references, or helper scripts without reinstalling.
Verify current GitHub and agent-skill ecosystem evidence before using trend, popularity, star, topic, or public-discoverability claims in Codex skill and plugin work. Use when an automation asks for trend evidence, GitHub discovery, repo stars/forks/activity, launch topics, marketplace positioning, or latest agent-skill/MCP ecosystem claims. Skip when the task only needs local source synthesis or a single trusted repo brief.
Add lightweight local observability to Codex/agent workflows. Use when tracking local runs, traces, evals, cost, token usage, cache efficiency, model comparisons, failure rates, or claudetop-style monitoring. Skip when designing production gateway policy, staged guardrails, shadow traffic, model budgets, or trace-to-regression loops; use `$auto-skill-build-agent-reliability-loop`.
Run closed-loop evaluators for Codex Supercharge artifacts and write feedback state for future Codex sessions, subagents, and automations. Use after creating, editing, reviewing, grading, or validating Codex Supercharge skills, references, scripts, metadata, or public docs. Triggers: grade Supercharge edits, closed-loop feedback, evaluator handoff, subagent status, automation feedback. Skip when the task is a one-off repo edit outside Codex Supercharge.
| name | sandbox-source-intake |
| description | Safely clone, inspect, and triage fresh GitHub repos without overusing disk or running risky code. Use when the user asks to clone many repos, evaluate bleeding-edge tools, install MCP servers, run unknown scripts, or harvest patterns from public repos. |
Use this before trusting a fresh repo.
git clone --depth 1 <url> sources/<name>.du -sh sources after each batch.package.json, pyproject.toml, Cargo.toml, go.mod.# Source Intake Report
Repo:
Local path:
Disk size:
License:
Runtime:
Install risk:
Useful patterns:
Do not run:
Next action:
Then use $repo-intelligence-brief for safe repos.