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CC save-to-spotify

Create polished audio content and save to Spotify. Produces episodes with TTS narration, a rich timeline (chapters plus in-player images, external links, and Spotify entity cards), and a cover image. Also use for raw media saves, show/episode management, and timeline navigation.

ClawHub Agent Skills author: Spotify v0.2.0 MIT-0 12 files body ≈ 3 020 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorInfrastructuretype 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
64/100
safety, quality, tests
Safety 60%
50
Quality 40%
86
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
20
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

    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 · 10

    ✓ No critical or high findings

    Medium and low: 10
    • medium Dangerous commands cmd-pipe-to-shell references/cli-usage.md:12
      Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
      curl -fsSL https://saveto.spotify.com/install.sh | bash
      vendor-host
    • medium Dangerous commands cmd-pipe-to-shell references/cli-usage.md:21
      Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
      curl -fsSL https://saveto.spotify.com/install.sh | bash -s -- --version 0.2.0
      vendor-host
    • medium Dangerous commands cmd-pipe-to-shell references/cli-usage.md:24
      Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
      curl -fsSL https://saveto.spotify.com/install.sh | bash -s -- --dir ~/.local/bin
      vendor-host
    • medium Dangerous commands cmd-pipe-to-shell references/cli-usage.md:28
      Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
      curl -fsSL https://saveto.spotify.com/install.sh | bash
      vendor-host
    • medium Dangerous commands cmd-privilege references/cli-usage.md:39
      Privilege escalation / world-writable permissions
      sudo mv save…m64 /usr/local/bin/save-to-spotify
    • medium Dangerous commands cmd-privilege references/cli-usage.md:44
      Privilege escalation / world-writable permissions
      sudo mv save…d64 /usr/local/bin/save-to-spotify
    • medium Dangerous commands cmd-privilege references/cli-usage.md:49
      Privilege escalation / world-writable permissions
      sudo mv save…d64 /usr/local/bin/save-to-spotify
    • medium Dangerous commands cmd-privilege references/cli-usage.md:60
      Privilege escalation / world-writable permissions
      sudo mv save-to-spotify /usr/local/bin/
    • medium Dangerous commands cmd-pipe-to-shell references/onboarding.md:38
      Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
      curl -fsSL https://saveto.spotify.com/install.sh | bash
      vendor-host
    • medium Dangerous commands cmd-pipe-to-shell SKILL.md:37
      Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)
      curl -fsSL https://saveto.spotify.com/install.sh | bash
      vendor-host

    Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "id"
    • note frontmatter-key unknown frontmatter key "enabled"

    Process rating: all ten parameters 54/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
    • 70Failures and branches. 11 branches
    • 85Steps. 30 steps, 1 vague phrases
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3020 tokens
    • 100Running it twice. Mutating operations check current state
    • 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
    • +1No license
    • +2Single-language instructions
    • +3Description length 279: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 30 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (10 of 10)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    The skill is coherent for creating private Spotify audio episodes, but it uses high-impact setup, Spotify account access, raw bearer-token handling, connected personal data, and cloud providers with uneven consent and disclosure.
    LLM: suspicious (high) · 20 Jul 2026