feat: optimize windows-protocols skill score (76% → 100%) + add Tessl review CI#10
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- Expanded description with concrete action verbs and specific protocol names (SMB, NTLM, Kerberos, RDP, MS-SMB2, MS-NLMP, MS-RDPBCGR) - Consolidated redundant Navigation Strategy and Navigation Workflow sections - Moved detailed Protocol Clusters and Canonical Spec Structure subsections to REFERENCE.md for progressive disclosure - Tightened Outlier Handling and Quick Discovery Patterns for conciseness - Added REFERENCE.md with full domain-to-protocol mapping and heading variants | Skill | Before | After | Change | |-------|--------|-------|--------| | windows-protocols | 76% | 100% | +24% |
Adds .github/workflows/skill-review.yml that runs tesslio/skill-review on PRs touching **/SKILL.md. Posts one PR comment with scores and feedback using only GITHUB_TOKEN (no extra accounts needed). Non-blocking by default — feedback-only unless fail-threshold is set.
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Hey @awakecoding 👋
I ran your skills through
tessl skill reviewat work and found some targeted improvements.Here's the full before/after:
Your repo has one skill, and it was already solid — strong actionability and workflow clarity. The changes focus on filling in the gaps the review flagged: a more concrete description with specific protocol names, reduced redundancy, and better progressive disclosure.
Changes summary
find packet structures,trace message flows,extract structure definitions) and specific protocol trigger terms (SMB,NTLM,Kerberos,RDP,DFS,MS-SMB2,MS-NLMP,MS-RDPBCGR) so agents match this skill more reliablyREFERENCE.md, keeping short summaries with links inSKILL.mdTessl Skill Review GitHub Action
This PR also adds a lightweight GitHub Action (
.github/workflows/skill-review.yml) that automatically reviews skill quality on future PRs:**/SKILL.md, the workflow runstesslio/skill-reviewand posts one comment with Tessl scores and feedback (updated on new pushes)GITHUB_TOKENis used to post the commentfail-threshold— no surprise red CIwith: fail-threshold: 70later if you want PRs to fail on low scoresSKILL.mdchanges get automatic review commentsHonest disclosure — I work at @tesslio where we build tooling around skills like these. Not a pitch - just saw room for improvement and wanted to contribute.
Want to self-improve your skills? Just point your agent (Claude Code, Codex, etc.) at this Tessl guide and ask it to optimize your skill. Ping me - @rohan-tessl - if you hit any snags.
Thanks in advance 🙏