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sips-tool-factory

Decide whether to reuse, improve, or scaffold a deterministic helper. Use when repeated work is slow, brittle, or blocked by a missing local tool.

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包含的文件(4)

  • SKILL.md2.9 KB
  • agents/openai.yaml297 B
  • assets/icon-large.svg505 B
  • assets/icon-small.svg505 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

SIPS Tool Factory

Use homebase_tool_factory with the task, desired helper, and any existing script. Prefer improving a nearby working helper over creating a new one.

Create a tool only when it removes repeated manual work or closes a real capability gap. Keep it repo-local, deterministic, and covered by a small smoke or regression check.

After the helper works, record the command and proof path in state.yaml, LEDGER.md, or memory when the lesson is durable.

Use available_types and required_types when the task has known artifact contracts. Treat a composition as a proposal requiring consumer checks; insufficient_fit calls for more evidence or an explicit creation decision.

Scaffolding creates a draft .contract.json. Implement the helper and populate its inputs, outputs, prerequisites, effects, failure semantics, resources, and behavioral cases before setting status to implemented. validate executes those cases and records exact artifact identities; help output and test-name mentions are insufficient. promote packages the validated version and pins the skill entrypoint. Host discovery remains a separate check.

For corrections, preserve the original acceptance criterion and connect diagnosis, candidate, and frozen evaluation in an adaptation.py episode. Passing evaluation stops at ready_for_review. Activate only on an explicit request naming the reviewed candidate digest. See docs/sips-05.md in the plugin source for contracts and commands.

SIPS 0.6 evidence workflow

Use the shared adaptation controller for structured investigations and bounded probes. Prefer current v2 contracts and joint-prerequisite composition before new helpers. Use additive counterexamples; preserve raw episodes when proposing procedures. Policy trials are declarative proposals, never changes to evaluation or activation. See docs/sips-06.md for request shapes, supported schemas, and research limits.

Research methods (0.7)

Use coverage to propose consumer interaction cases and morphology to explore repair/reuse alternatives. Feasible combinations remain proposals until executable consumer checks pass. See method API and command protocol.

Semantic composition (0.9)

Use contract v3 for explicit semantic roles, units, literal context identities, and numeric ranges. Missing or incompatible declarations reject a binding; no implicit conversion is available. Runtime bounds do not prove declared meaning. Keep independent consumer checks. Inspect adaptation dependencies before reuse; changed evaluator or dependency identities require revalidation. See docs/sips-09.md for the supported vocabulary and limitations.

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中文简介正在准备中。当前显示原文说明。

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