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agent-zero-tool-mastery

Use for every task to choose the correct Agent Zero tool, enforce exact tool-call shapes, and prevent tool misuse or hallucinated capabilities.

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ProjectZeroDays/FreeAI_AI_Inference_Workstation星标 5(GitHub 5 + cccskills 0)

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  • SKILL.md3.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。


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Agent Zero Tool Mastery

Objective

Make tool use deterministic and high precision:

  • Pick the right tool for each intent.
  • Use only documented arguments and method names.
  • Verify outcomes with follow-up tool evidence before reporting success.

Default Behavior

Apply this skill by default in every task. Do not assume free-form capabilities when a dedicated tool exists.

Tool Selection Ladder

  1. If the task is a direct user-facing message, use response.
  2. If the task is code execution, shell commands, Python snippets, or file/system manipulation, use hydes_claws.
  3. If code must be validated before promotion or merged safely, use verification_sandbox.
  4. If task is browser/site automation, inspection, or extraction, use browser_harness (and devtools_control when CDP-level control is needed).
  5. If task targets Electron GUI internals or Manifest-X extension surfaces, use manifest_x_extension_bridge.
  6. If task is full Linux app process/window/input/accessibility control, use universal_program_controller.
  7. If task is explicit test orchestration across suites or workflows, use universal_test_runner.
  8. If task requires skill discovery/loading, use skills_tool.
  9. If task is memory retrieval, consolidation, or memory operations, use memory / memory_cortex.
  10. If task is architecture/runtime telemetry introspection, use telemetry_spine.
  11. If task requires static security or code risk scanning, use vet_code.

Tool Call Discipline

  • Emit JSON-only tool calls with tool_name and tool_args.
  • Match argument names to the tool prompt documentation exactly.
  • Never invent methods, flags, or return schemas.
  • If unsure between two tools, choose the one with a tighter domain boundary and verify quickly.

Verification Discipline

After each mutating or high-impact action:

  1. Run the relevant validation command or tool-based check.
  2. Confirm evidence from runtime output, state, or files.
  3. Only then send completion using response.

Hallucination Guards

  • Prefer a short probe call when capability is uncertain.
  • Use skills_tool:list and skills_tool:load when additional procedural context is needed.
  • Fall back to response asking for constraints only when no safe assumption can be made.

Escalation Rules

  • For failing code changes, iterate through verification_sandbox until green.
  • For GUI uncertainty, capture state first (manifest_x_extension_bridge or browser tools) before acting.
  • For architecture claims, gather concrete evidence with tools and paths.

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