SKILLEMALL.ai

AF GitHub Radar

A GitHub Intelligence Tool from an AI PM perspective. Goes beyond displaying data to deliver PM-grade paradigm insights. Powered by the locally authenticated gh CLI + GitHub API.

ClawHub Agent Skills author: Kun-0546 v0.1.1 MIT-0 31 files body ≈ 3 977 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 51/100 · Will not run — References files that are not bundled: templates/*.html, templates/*_cn.html

IntegrationGitHubInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
78
Run on models
none yet
Process rating
F
51/100
Will not run
References files that are not bundled: templates/*.html, templates/*_cn.html
Tools and files w 18
0
Progress reporting w 2
0
When it triggers w 12
20
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
  • 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: 29. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning missing-ref reference to a missing file: templates/*.html
  • warning missing-ref reference to a missing file: templates/*_cn.html
  • note frontmatter-key unknown frontmatter key "categories"
  • note frontmatter-key unknown frontmatter key "tools"

Process rating: all ten parameters 51/100

Will not run. References files that are not bundled: templates/*.html, templates/*_cn.html
  • 0Tools and files. 2 referenced file(s) missing: templates/*.html, templates/*_cn.html
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 40Consistency. Frontmatter name (GitHub Radar) differs from the folder (github-trend-observer)
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Failures and branches. 4 branches
  • 100Steps. 43 steps
  • 100Execution cost. Instruction body is 3977 tokens
  • low 10 top-level sections: this looks like several domains in one skill
  • medium 4 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 178: enough signal without eating the budget
  • +4Structure: 32 headings
  • +3Step-by-step instructions: 43 items
  • +3Output format is stated explicitly
  • +4Has examples (15 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 9 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.

External checks

ClawHub: clean
This GitHub research skill is coherent and disclosed; it mainly reads GitHub data with the local GitHub login and creates local reports.
LLM: benign (high) · VirusTotal: · 29 May 2026