gh-issue-to-demand-signal

gh-issue-to-demand-signal is a Competitive intelligence skill for AI agents, published by Varnan-Tech in the opendirectory repository on GitHub. Skillspace rates gh-issue-to-demand-signal F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.

Takes a competitor's public GitHub repo URL, fetches their open issues via the GitHub REST API, filters noise locally, clusters issues into 6 demand categories, computes a demand score per issue and per cluster, and outputs a ranked demand gap report with a GTM messaging brief. Use when asked to scan a competitor's GitHub issues, find what their users are begging for, turn GitHub complaints into product positioning, identify competitor feature gaps, or generate messaging from real user demand. Trigger when a user says "scan competitor issues", "what are users asking for on X repo", "find demand gaps in Y", "turn GitHub issues into messaging", or "what should I build based on competitor complaints".

Grade
F
Quality
45 / 100
Safety
Risky
GitHub stars
546

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since.

View source on GitHubVarnan-Tech/opendirectory

Our review

Architecture
89 / 100
Maturity
Structured: ships references or scripts
Security scan
High-risk patterns
License
MIT
Adoption
Adopted by 0 other repositories, in 1 collections

What the scanner flagged

  • references sensitive credential env
  • mentions secrets in text

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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