SKILLEMALL.ai

BD music-discovery-app

一个完全免费的音乐发现应用,集成多个免费音乐API,无需任何认证。提供音乐搜索、歌词显示、网络电台、演唱会信息等功能。

ClawHub Agent Skills author: fish1981bimmer v1.0.0 MIT-0 27 files · 1 script body ≈ 709 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
95
Quality 40%
61
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token frontend/package-lock.json:62
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…4nW/ixr2y1Nw+r1et…IqP+LNhL…osH+uP1fqg==",
    quoted
  • low Secrets in code secret-high-entropy-token frontend/package-lock.json:273
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…SzS+cfgl…B0A==",
    quoted
  • low Secrets in code secret-high-entropy-token frontend/package-lock.json:299
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…RNq/mC+16R1…A0M+/s6ny…wFA==",
    quoted
  • low Secrets in code secret-high-entropy-token frontend/package-lock.json:441
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…9PG+kCof…Am7/aWYGhXZ9cw==",
    quoted
  • low Secrets in code secret-high-entropy-token frontend/package-lock.json:674
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "integrity": "sha5…wsn+nXlo…heD+30ez…vLQ==",
    quoted

Files scanned: 27. 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 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 86 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 709 tokens
  • 100Running it twice. No mutating operations
  • low 16 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 59: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -2localhost URLs: will not work for another user
  • -218 emoji in the instructions: noise for the model
  • -45 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +4Structure: 35 headings
  • +3Step-by-step instructions: 86 items
  • +4Has examples (5 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: clean
This is a music discovery web app whose network calls match its advertised features, with privacy and deployment caveats users should understand.
LLM: benign (high) · VirusTotal: · 29 May 2026