SKILLEMALL.ai
GitHub ↗ RU Sign in

CB youtube-apify-transcript

Fetch YouTube transcripts via the Apify API. Works from cloud IPs (Hetzner, AWS, etc.) by bypassing YouTube's bot detection. Features local caching (free repeat requests) and batch mode. Requires APIFY_API_TOKEN and the Python requests library.

ClawHub Agent Skills author: Robby v1.4.0 MIT-0 5 files · 1 script body ≈ 1 629 tokens Open the sourceclawhub.ai↗ analyzed 7 d ago

Fetch YouTube transcripts via the Apify API.

As a process B 71/100 · Nearly there — weak spots: running it twice, progress reporting

IntegrationYouTubeAWSMedia 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
89/100
safety, quality, tests
Safety 60%
97
Quality 40%
78
Run on models
none yet
Process rating
B
71/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
When it triggers w 12
50
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.
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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Secrets in code secret-high-entropy-token scripts/fetch_transcript.py:36
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    DEFAULT_APIFY_ACTOR_ID = "topaz_sharingan~Yout…r-1"
    quoted
  • low Secrets in code secret-high-entropy-token scripts/fetch_transcript.py:222
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    if actor_id == "topaz_sharingan~Yout…r-1":
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:59
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    There is no language field. `--lang` on the CLI does not change the default actor's input. The script only forwards `--lang` for other actor IDs (`pintostudio`, `starvibe`, `karamelo`). For `topaz_sha
    quoted

Files scanned: 5. 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")
  • note edit-residue the text marks something as outdated (lines 16): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 71/100

  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 50When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 15 steps, 1 vague phrases
  • 100Failures and branches. 1 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1629 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 244: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 15 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)
  • +3All 1 scripts are documented

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

External checks

ClawHub: suspicious
The skill mostly does what it says, but a URL-handling flaw can let its cache read or write JSON files outside the intended cache folder.
LLM: suspicious (high) · VirusTotal: · 10 Sept 2026