SKILLEMALL.ai

AF album-review

Deep, source-traceable long-form Chinese album review (乐评). Use when the user names a music credit (artist/composer/band) + an album and wants one comprehensive critique. Triggers: "写一篇深度乐评", "全面评测这张专辑", "$album-review". NOT for audio-gear evaluation (→ hifi-review).

ClawHub Agent Skills author: VincentJiang06 v0.2.0 MIT-0 16 files body ≈ 1 881 tokens Open the sourceclawhub.ai analyzed 2 d ago

Deep, source-traceable long-form Chinese album review (乐评).

As a process F 47/100 · Will not run — References files that are not bundled: scripts/check_review.py:classify_route

AnalyzerData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: scripts/check_review.py:classify_route
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 0

✓ No critical or high findings

Files scanned: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: scripts/check_review.py:classify_route

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: scripts/check_review.py:classify_route
  • 0Tools and files. 1 referenced file(s) missing: scripts/check_review.py:classify_route
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 16 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1881 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

  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 3 example trigger phrases
  • +4Description says when NOT to use the skill
  • +3Description length 267: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

External checks

ClawHub: clean
This skill is a disclosed album-review workflow that uses web research and local validation scripts for traceable music criticism, with no evidence of hidden data access, persistence, or unsafe actions.
LLM: benign (high) · VirusTotal: · 1 Aug 2026