SKILLEMALL.ai
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CC audio-video

Expert audio/video processing with ffmpeg and ffprobe. Use when the user needs to convert, compress, edit, analyze, stream, or process any audio or video file. Triggers on: transcode, convert video, compress video, extract audio, trim clip, merge files, add subtitles, change bitrate, generate thumbnail, probe media, HLS stream, audio normalization, video filter, codec, fps, resolution, aspect ratio, waveform, spectrogram, ffmpeg, ffprobe, stabilize video, video stabilization, shaky footage, 360 video, VR video, equirectangular, cubemap, v360, HDR, tone mapping, HDR to SDR, bt2020, smpte2084, color space, SRT streaming, low latency stream, multi-destination stream, tee muxer, restream, DVR recording, rolling window, repair video, corrupt video, VFR to CFR, variable frame rate, fix sync, metadata, chapter markers, cover art, strip metadata, embed chapters, SMPTE bars, test signal, packet analysis, encoding benchmark.

ClawHub Agent Skills author: kunalshah v0.1.4 MIT-0 8 files body ≈ 11 371 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Expert audio/video processing with ffmpeg and ffprobe.

As a process C 60/100 · Has gaps — weak spots: inputs and preconditions, execution cost, running it twice

ProcedureDockerMedia and videotype 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
C
88/100
safety, quality, tests
Safety 60%
95
Quality 40%
78
Run on models
none yet
Process rating
C
60/100
Has gaps
Progress reporting w 2
0
Inputs and preconditions w 11
30
Running it twice w 4
30
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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
  • medium Dangerous commands cmd-privilege SKILL.md:54
    Privilege escalation / world-writable permissions
    sudo mv "$FFDIR/ffmpeg" "$FFDIR/ffprobe" /usr/local/bin/

Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 11371 tokens (recommended < 5000); move details to references/
  • note edit-residue the text marks something as outdated (lines 244, 704): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 60/100

  • 0Progress reporting. Says nothing while it works
  • 30Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 1 mutating operations with no state check
  • 40Execution cost. Instruction body is 11371 tokens: crowds the task out of the window
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 28 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 26 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)
  • +3Description length 928: 120–800 characters recommended
  • +1No license
  • +2Single-language instructions
  • +4Structure: 120 headings
  • +3Step-by-step instructions: 28 items
  • +3Output format is stated explicitly
  • +4Has examples (85 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: suspicious
The skill is a coherent FFmpeg helper, but it includes under-scoped screen/audio/webcam capture, remote streaming, continuous recording, and unverified elevated install guidance that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 14 Sept 2026