Agent skill
deepagent-toolchain-plan
DeepAgent-style tool discovery for VCO: propose a minimal skill/tool chain (with verification points) and reduce confirm_required friction.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/deepagent-toolchain-plan
SKILL.md
DeepAgent Toolchain Plan (VCO)
When to use
Use this skill when:
- VCO router returns
route_mode=confirm_requiredand you want a better, evidence-backed choice - The task spans multiple domains/tools and you need a skill chain, not a single skill
- The user asks “用什么工具/技能最好?” / “怎么编排这套技能?”
- The conversation is long or messy and you need to re-anchor on goal → toolchain → verification
Non-goals (avoid redundancy)
- This is not a replacement for VCO routing. It is an augmentation that proposes a chain.
- This is not GitNexus. For code dependency/impact, use GitNexus overlays.
- This does not introduce long-term episodic memory (VCO governance disables it).
Runtime (Upstream vendoring)
DeepAgent upstream is vendored for reference / optional advanced runs:
C:\Users\羽裳\.codex\_external\ruc-nlpir\DeepAgent\
VCO-managed runtime config and self-check scripts (no secrets stored/printed):
C:\Users\羽裳\.codex\skills\vibe\config\ruc-nlpir-runtime.jsonpwsh C:\Users\羽裳\.codex\skills\vibe\scripts\ruc-nlpir\preflight.ps1
Core output (must)
Return a toolchain with:
- Goal + deliverable (1–2 lines)
- Chain steps (3–8 steps, each: skill/tool + why + expected artifact)
- Verification points (at least 1 falsifiable check)
- Fallbacks (what to do if a tool is unavailable)
Workflow
Step 1: Capture the task in a contract
- Goal (one sentence)
- Deliverable (code / plan / report / dataset / etc.)
- Constraints (time, no heavy deps, offline-only, etc.)
Step 2: Ask VCO router for a white-box view (recommended)
Run the router script in probe mode to get candidates + overlays in a machine-readable form:
pwsh C:\Users\羽裳\.codex\skills\vibe\scripts\router\resolve-pack-route.ps1 -Prompt "<PROMPT>" -Grade L -TaskType planning -Probe -ProbeLabel "toolchain" -ProbeOutputDir outputs/runtime/router-probes
Then use the emitted confirm_ui + overlay advice to decide the chain.
Step 3: Build a minimal chain (DeepAgent principle)
Prefer a chain that:
- Starts with evidence acquisition (local docs / web / code graph)
- Then planning
- Then execution
- Ends with verification + review
Step 4: Guardrails
- If the chain requires web browsing, explicitly choose between:
web.run(fast structured browse)playwright/turix-cua(dynamic/interactive)
- If the chain requires heavy model hosting (vLLM), provide a Lite alternative.
Suggested chains (templates)
A) “Research → report”
webthinker-deep-research(Lite) →outputs/webthinker/.../report.mdflashrag-evidence(local protocol checks) → citeable snippetscode-reviewer(if code changes) orverification-quality-assurance(if routing changes)
B) “VCO enhancement work (config/skills)”
flashrag-evidence(locate existing policy/overlays)writing-plans(implementation plan with file paths + verify steps)verification-before-completion(run check + router probe)
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