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BC lastfm

Access Last.fm user profile, now playing, top tracks/artists/albums by period, loved tracks, and optionally love/unlove tracks.

ClawHub Agent Skills author: Magolo Dennis Ooki v1.0.0 6 files · 1 script body ≈ 1 377 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

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

ProcedureInfrastructuretype 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
84/100
safety, quality, tests
Safety 60%
90
Quality 40%
76
Run on models
none yet
Process rating
C
54/100
Has gaps
Inputs and preconditions w 11
0
When it triggers w 12
20
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.

Exfiltration 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 instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

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 · 6

✓ No critical or high findings

Medium and low: 6
  • medium Exfiltration net-credential-use references/auth-guide.md:110
    Credential used in a network call (verify the destination is the intended service)
    curl "https://ws.audioscrobbler.com/2.0/?method=…&api_key=…&token=…&api_sig=…&format=json"
  • low Secrets in code secret-password-literal references/api-endpoints.md:73
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    **URL:** `?method=user.getRecentTracks&user=USERNAME&api_key=KEY&format=json&limit=10`
    quoted
  • low Secrets in code secret-password-literal references/api-endpoints.md:117
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    **URL:** `?method=user.getTopTracks&user=USERNAME&api_key=KEY&format=json&period=7day`
    quoted
  • low Secrets in code secret-password-literal references/api-endpoints.md:166
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    **URL:** `?method=user.getTopArtists&user=USERNAME&api_key=KEY&format=json&period=7day`
    quoted
  • low Secrets in code secret-password-literal references/api-endpoints.md:197
    Hard-coded password / key literal (may be an example) (quoted — discussed, not commanded)
    **URL:** `?method=user.getTopAlbums&user=USERNAME&api_key=KEY&format=json&period=7day`
    quoted
  • low Exfiltration exfil-secret-in-url references/auth-guide.md:110
    Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)
    curl "https://ws.audioscrobbler.com/2.0/?method=…&api_key=…&token=…&api_sig=…&format=json"
    placeholder

Files scanned: 6. 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")

Process rating: all ten parameters 54/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 40Consistency. Frontmatter name (lastfm) differs from the folder (lastfm-openclaw)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 49 steps
  • 100Execution cost. Instruction body is 1377 tokens
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 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)
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 127: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 49 items
  • +3Output format is stated explicitly
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a disclosed Last.fm integration that reads listening data and can optionally love or unlove tracks when the user provides write credentials.
LLM: benign (high) · VirusTotal: benign · 28 May 2026