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AF cowhorse-skill

A skill that actively extracts and quantifies workflow requirements from users through structured Q&A about inputs, outputs, and objectives. Build reusable skills with scripts/references/assets. Use when user describes a task they want AI to help with repeatedly, e.g. "帮我做一个workflow", "建一个skill", "梳理流程", "帮我做一个工具", "把这个做成一个skill".

ClawHub Agent Skills author: Spark v1.0.0 MIT-0 5 files body ≈ 1 187 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process F 39/100 · Will not run — References files that are not bundled: scripts/init_skill.py, scripts/package_skill.py

ProcedureInfrastructuretype 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
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: scripts/init_skill.py, scripts/package_skill.py
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/init_skill.py
  • warning missing-ref reference to a missing file: scripts/package_skill.py

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: scripts/init_skill.py, scripts/package_skill.py
  • 0Tools and files. 2 referenced file(s) missing: scripts/init_skill.py, scripts/package_skill.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 60Steps. 55 steps, 4 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1187 tokens
  • 100Progress reporting. Reports progress

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 332: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 55 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a disclosed workflow-and-skill builder that asks structured questions and can create skill files, with no evidence of hidden data theft or destructive behavior.
LLM: benign (high) · VirusTotal: · 29 May 2026