SKILLEMALL.ai

BC appstore-data-api

Read-only, normalized public-data reads of App Store applications through the ReplyNodes App Store public-read service: app lookup by track id or bundle id, bounded term search, and related-app listings. Bearer workspace-key authentication or x402 v2 payment negotiation at the gateway, transparent bounded pages, normalized errors, and an explicit unsupported-capability matrix. Public reads only: no purchase, review, account, or other mutation exists, and no platform login material is involved.

ClawHub Agent Skills v1.1.13 13 files body ≈ 2 235 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 58/100 · Has gaps — weak spots: inputs and preconditions, consistency, progress reporting

IntegrationInfrastructureSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
63
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
Consistency w 8
40
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 · 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 frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 3, column 14: description: Read-only, normalized public-data reads of App Store applications … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "contract_version"
  • note frontmatter-key unknown frontmatter key "mode"
  • note frontmatter-key unknown frontmatter key "auth"
  • note frontmatter-key unknown frontmatter key "keywords"
  • note frontmatter-key unknown frontmatter key "search_terms"
  • note frontmatter-key unknown frontmatter key "entrypoint"
  • note frontmatter-key unknown frontmatter key "install_guide"
  • note frontmatter-key unknown frontmatter key "source"

Process rating: all ten parameters 58/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (appstore-data-api) differs from the folder (appstore-api)
  • 50When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 25 steps
  • 100Execution cost. Instruction body is 2235 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
  • low 11 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)
  • +4No input/output examples
  • +2Single-language instructions
  • +3Description length 498: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 25 items
  • +3Output format is stated explicitly
  • +4Reference files are cited in the instructions (1 of 1)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.

External checks

ClawHub: clean
This skill is a disclosed read-only App Store public-data connector with bounded GET requests and no local code execution or persistence.
LLM: benign (high) · VirusTotal: