SKILLEMALL.ai
GitHub ↗ RU Sign in

CD cli-hub-matrix-video-creation

Capability-based multi-tool matrix for video production. Agents pick providers (CLI-Anything harnesses, public CLIs, Python libs, native binaries, cloud APIs) per capability rather than marching through fixed stages, including storyboard planning, story/audio direction, source triage, internet video/music search/download, capture/generation, analysis, sound design, high-end caption design, NLE/render doctor investigation, review, and packaging.

HKUDS/CLI-Anything Agent Skills author: HKUDS Apache-2.0 9 files · 1 script body ≈ 12 200 tokens Open the sourcegithub.com↗ analyzed 5 d ago

Capability-based multi-tool matrix for video production.

As a process D 38/100 · Unfinished process — References files that are not bundled: ../../docs/cli-matrix/matrix_registry.schema.md

IntegrationYouTubeGoogle CloudMedia and videotype 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
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
D
38/100
Unfinished process
References files that are not bundled: ../../docs/cli-matrix/matrix_registry.schema.md
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. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 12200 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../docs/cli-matrix/matrix_registry.schema.md

Process rating: all ten parameters 38/100

Will not run. References files that are not bundled: ../../docs/cli-matrix/matrix_registry.schema.md
  • 0Tools and files. 1 referenced file(s) missing: ../../docs/cli-matrix/matrix_registry.schema.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 11 mutating operations with no state check
  • 40Consistency. Frontmatter name (cli-hub-matrix-video-creation) differs from the folder (video-creation)
  • 40Execution cost. Instruction body is 12200 tokens: crowds the task out of the window
  • 50When it triggers. No condition that starts the skill
  • 85Steps. 115 steps, 2 vague phrases
  • 100Failures and branches. 3 branches, has a failure section
  • 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

  • +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 448: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 115 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.