SKILLEMALL.ai

BF recursive-maths-animator

Recursive maths animator — Manim-based technical animations with optional voiceover (manim-voiceover), git scene versioning, pinned requirements, asset folders, GIF approval previews, and a vision verification loop (frame extract, multimodal review in Cursor/Claude Code, VERIFICATION_FEEDBACK.md, iterate). Brief-first workflow: pitch a digestible animation plan and design options, get user approval, then code; lock theme in DESIGN_THEME.md.

ClawHub Agent Skills author: Science-Prof-Robot v1.7.0 MIT-0 28 files body ≈ 5 506 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 57/100 · Will not run — References files that are not bundled: assets/images, assets/svgs, assets/fonts

ProcedureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
79/100
safety, quality, tests
Safety 60%
99
Quality 40%
50
Run on models
none yet
Process rating
F
57/100
Will not run
References files that are not bundled: assets/images, assets/svgs, assets/fonts
Tools and files w 18
0
When it triggers w 12
20
Running it twice w 4
30
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security SKILL.md:489
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use)
    If a **dynamic** scan of the skill zip shows subprocesses, `python.exe`, `cmd.exe`, **non-standard ports**, or **URLs** such as `http://192.168.x.x:…/v1/…`, treat the overall **verdict and score** fir

Files scanned: 28. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Recursive maths animator — Manim-based technical animations with o… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5506 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/images
  • warning missing-ref reference to a missing file: assets/svgs
  • warning missing-ref reference to a missing file: assets/fonts

Process rating: all ten parameters 57/100

Will not run. References files that are not bundled: assets/images, assets/svgs, assets/fonts
  • 0Tools and files. 3 referenced file(s) missing: assets/images, assets/svgs, assets/fonts
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 9 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5506 tokens
  • 85Steps. 47 steps, 1 vague phrases
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 19 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 444: enough signal without eating the budget
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 47 items
  • +3Output format is stated explicitly
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 3 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 50.

External checks

ClawHub: clean
This is a coherent Manim animation skill with expected helper scripts, but users should be aware that cloud voiceover features can send narration text to third-party services.
LLM: benign (high) · VirusTotal: · 29 May 2026