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CD cli-anything-generator

Build, refine, test, validate, or list CLI-Anything harnesses for GUI applications in Cursor. Prefer slash commands /cli-anything, /cli-anything-refine, /cli-anything-test, /cli-anything-validate, and /cli-anything-list when available. This skill supports natural-language discovery of the generator; it does not replace those commands. Discovering already-published CLIs from CLI-Hub is a separate consumer skill (cli-hub-meta-skill).

HKUDS/CLI-Anything Agent Skills author: HKUDS Apache-2.0 1 file body ≈ 697 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Build, refine, test, validate, or list CLI-Anything harnesses for GUI applications in Cursor.

As a process D 38/100 · Unfinished process — References files that are not bundled: references/HARNESS.md, references/guides/..., scripts/repl_skin.py

AnalyzerResearchtype and topics are labelled automatically from the skill text
Runs in: 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) OpenClaw Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
D
38/100
Unfinished process
References files that are not bundled: references/HARNESS.md, references/guides/..., scripts/repl_skin.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: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: references/HARNESS.md
  • warning missing-ref reference to a missing file: references/guides/...
  • warning missing-ref reference to a missing file: scripts/repl_skin.py
  • warning missing-ref reference to a missing file: scripts/preview_bundle.py
  • warning missing-ref reference to a missing file: scripts/skill_generator.py
  • warning missing-ref reference to a missing file: templates/SKILL.md.template
  • warning missing-ref reference to a missing file: scripts/templates/SKILL.md.template
  • warning missing-ref reference to a missing file: references/docs/PREVIEW_PROTOCOL.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: references/HARNESS.md, references/guides/..., scripts/repl_skin.py
  • 0Tools and files. 8 referenced file(s) missing: references/HARNESS.md, references/guides/..., scripts/repl_skin.py
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 55Failures and branches. 1 branches
  • 100Steps. 8 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 697 tokens

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 435: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.