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AD daily-company-briefing

聚合公司**国内官网（**[ **http://www.jxcpp.com/zh.html**](http://www.jxcpp.com/zh.html) **）**、**海外DXC官网（**[ **https://dxc.com/**](https://dxc.com/) **）**、核心长期合作客户（博世、百盛等）的最新动态，同步覆盖行业政策、招标、竞品与合作机会；生成**极简速读版晨报**，包含核心结论、关键动态、商机点与原文链接，自动过滤无效信息与旧闻，支撑快速业务决策。

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 938 tokens Open the sourcegithub.com↗ analyzed 3 d ago

聚合公司国内官网（[ http://www.jxcpp.com/zh.html](http://www.jxcpp.com/zh.html) ）、海外DXC官网（[ https://dxc.com/](https://dxc.com/)…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
D
49/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 49/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (daily-company-briefing) differs from the folder (daily-dxc-briefing)
    • 100Tools and files. No external tools needed
    • 100Steps. 48 steps
    • 100Execution cost. Instruction body is 938 tokens
    • 100Running it twice. No mutating operations
    • low 10 top-level sections: this looks like several domains in one skill

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 243: enough signal without eating the budget
    • +4Structure: 20 headings
    • +3Step-by-step instructions: 48 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.