SKILLEMALL.ai

AF superpicky-cli

SuperPicky CLI skill: use absolute paths to scripts/install.sh and scripts/run.sh for automation; run.sh three entries (superpicky_cli, birdid_cli, --region-query) and --py; reference/cli-help-captured.txt.

ClawHub Agent Skills author: yoshino-s v0.2.0 MIT-0 13 files · 4 scripts body ≈ 2 168 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 39/100 · Will not run — References files that are not bundled: reference/docs/cli-reference.md, reference/docs/manifest机制说明.md, reference/docs/BIRDID_OPTIMIZATION_GUIDE.md

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
F
39/100
Will not run
References files that are not bundled: reference/docs/cli-reference.md, reference/docs/manifest机制说明.md, reference/docs/BIRDID_OPTIMIZATION_GUIDE.md
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: 13. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: reference/docs/cli-reference.md
  • warning missing-ref reference to a missing file: reference/docs/manifest机制说明.md
  • warning missing-ref reference to a missing file: reference/docs/BIRDID_OPTIMIZATION_GUIDE.md
  • warning missing-ref reference to a missing file: reference/requirements_base.txt

Process rating: all ten parameters 39/100

Will not run. References files that are not bundled: reference/docs/cli-reference.md, reference/docs/manifest机制说明.md, reference/docs/BIRDID_OPTIMIZATION_GUIDE.md
  • 0Tools and files. 4 referenced file(s) missing: reference/docs/cli-reference.md, reference/docs/manifest机制说明.md, reference/docs/BIRDID_OPTIMIZATION_GUIDE.md
  • 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
  • 40Consistency. Frontmatter name (superpicky-cli) differs from the folder (superpicky)
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 2168 tokens
  • 100Running it twice. No mutating operations
  • 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 206: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 14 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
This is a real SuperPicky photo workflow wrapper, but it needs Review because it downloads mutable upstream code, exposes broad Python execution, and can change photo folders or metadata.
LLM: suspicious (high) · VirusTotal: · 29 May 2026