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.
As a process F 51/100 · Will not run — References files that are not bundled: templates/*.html, templates/*_cn.html
How to improve
- 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-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
missing-refreference to a missing file: templates/*.html - warning
missing-refreference to a missing file: templates/*_cn.html - note
frontmatter-keyunknown frontmatter key "categories" - note
frontmatter-keyunknown 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