2-repro-issue
2-repro-issue is a System & environment troubleshooting skill for AI agents, published by stickerdaniel in the linkedin-mcp-server repository on GitHub. Skillspace rates 2-repro-issue D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Reproduce a single LinkedIn-MCP issue locally on the current branch against the real authenticated LinkedIn session at ~/.linkedin-mcp/profile/, using the MCP streamable-http server. Captures the exact failure mode (tool output, error, missing data) and maps it back to the scraper code path. Use when the user says "reproduce #N", "investigate #N", "try #N locally", "verify the bug in #N", or pastes an issue URL from stickerdaniel/linkedin-mcp-server. Does NOT check out a PR or attempt a fix — that's /3-verify-pr-fix.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 3,455
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
Not checked yet
- Category is a classifier prediction; no model has read this skill 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
Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.