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dsh-skill-eval

已验证 · 实测可装 renjianguojinqianfan

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2026-08-17最近推送
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功能简介

DSH 插件:用 LLM judge 评测技能 description 的触发准确率(欠触发/过触发)

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我们的评价
可用 — 实测通过,早期项目

DSH 插件:用 LLM judge 评测技能 description 的触发准确率(欠触发/过触发) 实测能干净安装、正常启动。早期项目,但功能可用。

「已验证」表示我们的自动化 CI 在干净 profile 里实际执行了 dsh plugin add 并启动成功——仅此而已。功能描述与版本兼容性均为作者声明。这不是安全审计,也不代表对第三方代码的背书。

README

dsh-skill-eval

CI

Skill-trigger evaluation plugin for DeepSeek Harness (DSH).

An LLM judge recreates the exact DSH skill catalog prompt and decides, for each
test query, whether the target skill should be triggered. The plugin reports
accuracy, precision, recall, false-positive/negative rates, and a confusion
matrix — a reproducible measure of how reliably a skill description routes
matching queries (and how often it over- or under-triggers).

Install

From the repo root:

dsh plugin --profile web add ./dsh-skill-eval

Then configure the judge model route in your profile/overlay cordis.patch.yml:

- id: skill-eval
  config:
    provider: <provider-id>
    model: <model-name>

The provider must be registered in the DSH LLM runtime (the same one your
profile uses for chat). The plugin validates the route at startup and warns if
the provider is not yet registered.

Usage

Slash command:

/skill-eval <skill-name> [test-file]

Model-callable tool:

run_skill_eval(skill_name="<skill-name>", test_file="examples/dsh-plugin-eval.json")

test-file is optional; it defaults to examples/dsh-plugin-eval.json inside
the plugin package. Relative paths resolve against the plugin package directory.

Test-case format

A JSON array of { query, should_trigger } objects:

[
  { "query": "add a tool to the harness that persists across restarts", "should_trigger": true },
  { "query": "help me write a Python script for this CSV", "should_trigger": false }
]

category is optional and reserved for future use.

How it works

  1. Enumerate the session's model-invocable skills (ctx.skills.snapshot).
  2. Recreate the official catalog message verbatim (<system-reminder> +
    <available_skills> + normalized/truncated/escaped descriptions).
  3. For each query, ask the judge model whether the target skill should be
    triggered, forcing a one-line YES/NO answer.
  4. Compare against the expected label and aggregate metrics.

The evaluation measures the judge model's routing accuracy for the given
skill description. Swap provider/model in the config to test other judges.

Development and tests

npm run check     # syntax check for every JS file
npm test          # node:test, including official catalog fidelity and mock ctx tests
npm run smoke     # 51 pure-function smoke assertions
npm pack --dry-run  # published file list check
bash scripts/mount-smoke.sh  # real DSH mount smoke in a scratch home

The catalog fidelity fixture pins the official [email protected]
template. After a DSH upgrade, refresh the fixture from a local official
install and review the diff:

node scripts/refresh-catalog-fixture.mjs <path-to-dsh-tool-skill/lib/index.js>

Files

  • index.js — plugin entry: registers the run_skill_eval tool and the
    /skill-eval command.
  • runner.js — catalog reproduction, judge LLM call, verdict parsing.
  • catalog.js — pure functions: catalog message rendering and verdict parsing.
  • llm-helpers.js — dependency-free BlockAssembler, createUserMessage,
    deepFreeze (mirrors the official dsh-llm pattern).
  • parser.js — test-case JSON loading and validation.
  • metrics.js — confusion matrix, metrics, and markdown report formatting.
  • examples/ — default test cases.

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-skill-eval」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包。

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:renjianguojinqianfan/dsh-skill-eval

Headless(CLI)profile:

dsh plugin --profile headless add github:renjianguojinqianfan/dsh-skill-eval

实测报告

验证通过:从 GitHub 源码完成 L1 安装 + L2 加载 + L3 运行(dsh 0.1.0-rc.6)。

安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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