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BC episode-to-instagram

Full pipeline to turn a video podcast episode into Instagram content (carousel posts, quote cards, and Reels). Transcribes the episode, extracts key quotes with timestamps, pulls video frames, generates aesthetic carousel slides, and posts to Instagram via browser automation. Use when the user provides a full podcast/video episode or a YouTube/video webpage URL and wants Instagram-ready content generated and posted.

ClawHub Agent Skills author: veezVg v1.0.1 MIT-0 14 files · 3 scripts body ≈ 2 098 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process C 60/100 · Has gaps — weak spots: result and completion, consistency, running it twice

ProcedureYouTubeMedia and videoMarketingtype 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
B
89/100
safety, quality, tests
Safety 60%
95
Quality 40%
81
Run on models
none yet
Process rating
C
60/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token package-lock.json:38
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…FSj+bWLt…2sH/Kn8E…h6w==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:150
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…wHD+vkj3…wBQ/hCAQ…tUp/3Qh6…OOw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:156
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…CpK+FtMRQVdIMN6/Df5j…tIC+7KYK…qaA==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:209
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…RFW+TK4J…oUr/txX3…6Ns/A==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:239
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…JgI+2Q5U…e1E+Nyvgdz/aIyN…n58/GELp3+w==",
      detector

    Files scanned: 14. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 60/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 7 mutating operations with no state check
    • 40Consistency. Frontmatter name (episode-to-instagram) differs from the folder (veezvg-episode-to-instagram)
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 85Steps. 81 steps, 2 vague phrases
    • 100Failures and branches. 6 branches, has a failure section
    • 100Execution cost. Instruction body is 2098 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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
    • -34 of 8 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 419: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 81 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

    External checks

    ClawHub: suspicious
    The skill mostly does what it says, but it needs review because it can send episode audio to OpenAI and publish through a logged-in Instagram account with weak runtime guardrails.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026