sensei
Acts as GitHub Copilot for the Azure platform.
npx skills add https://github.com/microsoft/github-copilot-for-azure --skill senseiBefore / After Comparison
1 组Manually maintaining and improving a skill's frontmatter is time-consuming and prone to inconsistencies, leading to inaccurate skill descriptions and affecting their correct invocation and understanding.
By using the Ralph cycle pattern, iteratively automate the improvement of skill frontmatter until medium-to-high compliance is achieved and tests pass, ensuring clear and accurate skill descriptions and enhancing skill usability and reliability.
sensei
Sensei
"A true master teaches not by telling, but by refining." - The Skill Sensei
Automates skill frontmatter improvement using the Ralph loop pattern - iteratively improving skills until they reach Medium-High compliance with passing tests, then checking token usage and prompting for action.
Help
When user says "sensei help" or asks how to use sensei, show this:
╔══════════════════════════════════════════════════════════════════╗
║ SENSEI - Skill Frontmatter Compliance Improver ║
╠══════════════════════════════════════════════════════════════════╣
║ ║
║ USAGE: ║
║ Run sensei on <skill-name> # Single skill ║
║ Run sensei on <skill-name> --skip-integration # Fast mode ║
║ Run sensei on <skill1>, <skill2>, ... # Multiple skills ║
║ Run sensei on all Low-adherence skills # Batch by score ║
║ Run sensei on all skills # All skills ║
║ ║
║ EXAMPLES: ║
║ Run sensei on appinsights-instrumentation ║
║ Run sensei on azure-security --skip-integration ║
║ Run sensei on azure-security, azure-observability ║
║ Run sensei on all Low-adherence skills ║
║ ║
║ WHAT IT DOES: ║
║ 1. READ - Load skill's SKILL.md, tests, and token count ║
║ 2. SCORE - Check compliance (Low/Medium/Medium-High/High) ║
║ 3. SCAFFOLD - Create tests from template if missing ║
║ 4. IMPROVE - Add WHEN: triggers (cross-model optimized) ║
║ 5. TEST - Run tests, fix if needed ║
║ 6. REFERENCES- Validate markdown links ║
║ 7. TOKENS - Check token budget, gather suggestions ║
║ 8. SUMMARY - Show before/after with suggestions ║
║ 9. PROMPT - Ask: Commit, Create Issue, or Skip? ║
║ 10. REPEAT - Until Medium-High score + tests pass ║
║ ║
║ TARGET SCORE: Medium-High ║
║ ✓ Description > 150 chars, ≤ 60 words ║
║ ✓ Has "WHEN:" trigger phrases (preferred) ║
║ ✓ No "DO NOT USE FOR:" (risky in multi-skill envs) ║
║ ✓ SKILL.md < 500 tokens (soft limit) ║
║ ║
║ MORE INFO: ║
║ See .github/skills/sensei/README.md for full documentation ║
║ ║
╚══════════════════════════════════════════════════════════════════╝
When to Use
-
Improving a skill's frontmatter compliance score
-
Adding trigger phrases and anti-triggers to skill descriptions
-
Batch-improving multiple skills at once
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Auditing and fixing Low-adherence skills
Invocation Modes
Single Skill
Run sensei on azure-deploy
Multiple Skills
Run sensei on azure-security, azure-observability
By Adherence Level
Run sensei on all Low-adherence skills
All Skills
Run sensei on all skills
The Ralph Loop
For each skill, execute this loop until score >= Medium-High AND tests pass:
-
READ - Load
plugin/skills/{skill-name}/SKILL.md, tests, and token count -
SCORE - Run spec-based compliance check (see SCORING.md):
Validate name per agentskills.io spec (no --, no start/end -, lowercase alphanumeric)
-
Check description length and word count (≤60 words)
-
Check triggers (WHEN: preferred, USE FOR: accepted)
-
Warn on "DO NOT USE FOR:" (risky in multi-skill environments)
-
Preserve optional spec fields (
license,metadata,allowed-tools) if present -
CHECK - If score >= Medium-High AND tests pass → go to TOKENS step
-
SCAFFOLD - If
tests/{skill-name}/doesn't exist, create fromtests/_template/ -
IMPROVE FRONTMATTER - Add WHEN: triggers (stay under 60 words and 1024 chars)
-
IMPROVE TESTS - Update
shouldTriggerPromptsandshouldNotTriggerPromptsto match -
VERIFY - Run
cd tests && npm test -- --testPathPattern={skill-name} -
VALIDATE REFERENCES - Run
cd scripts && npm run references {skill-name}to check markdown links -
TOKENS - Check token budget and line count (< 500 lines per spec), gather optimization suggestions
-
SUMMARY - Display before/after comparison with unimplemented suggestions
-
PROMPT - Ask user: Commit, Create Issue, or Skip?
-
REPEAT - Go to step 2 (max 5 iterations per skill)
Scoring Criteria (Quick Reference)
Sensei validates skills against the agentskills.io specification. See SCORING.md for full details.
Score Requirements
Invalid Name fails spec validation (consecutive hyphens, start/end hyphen, uppercase, etc.)
Low Basic description, no explicit triggers
Medium Has trigger keywords/phrases, description > 150 chars, >60 words
Medium-High Has "WHEN:" (preferred) or "USE FOR:" triggers, ≤60 words
High Medium-High + compatibility field
Target: Medium-High (distinctive triggers, concise description)
⚠️ "DO NOT USE FOR:" is risky in multi-skill environments (15+ overlapping skills) — causes keyword contamination on fast-pattern-matching models. Safe for small, isolated skill sets. Use positive routing with WHEN: for cross-model safety.
Strongly recommended (reported as suggestions if missing):
-
license— identifies the license applied to the skill -
metadata.version— tracks the skill version for consumers
Frontmatter Template
Per the agentskills.io spec, required and optional fields:
---
name: skill-name
description: "[ACTION VERB] [UNIQUE_DOMAIN]. [One clarifying sentence]. WHEN: \"trigger 1\", \"trigger 2\", \"trigger 3\"."
license: MIT
metadata:
version: "1.0"
# Other optional spec fields — preserve if already present:
# metadata.author: example-org
# allowed-tools: Bash(git:*) Read
---
IMPORTANT: Use inline double-quoted strings for descriptions. Do NOT use >- folded scalars (incompatible with skills.sh). Do NOT use | literal blocks (preserves newlines). Keep total description under 1024 characters and ≤60 words.
⚠️ "DO NOT USE FOR:" carries context-dependent risk. In multi-skill environments (10+ skills with overlapping domains), anti-trigger clauses introduce the very keywords that cause wrong-skill activation on Claude Sonnet and fast-pattern-matching models (evidence). For small, isolated skill sets (1-5 skills), the risk is low. When in doubt, use positive routing with WHEN: and distinctive quoted phrases.
Test Scaffolding
When tests don't exist, scaffold from tests/_template/:
cp -r tests/_template tests/{skill-name}
Then update:
-
SKILL_NAMEconstant in all test files -
shouldTriggerPrompts- 5+ prompts matching new frontmatter triggers -
shouldNotTriggerPrompts- 5+ prompts matching anti-triggers
Commit Messages:
sensei: improve {skill-name} frontmatter
Constraints
-
Only modify
plugin/skills/- these are the Azure skills used by Copilot -
.github/skills/contains meta-skills like sensei for developer tooling -
Max 5 iterations per skill before moving on
-
Description must stay under 1024 characters
-
SKILL.md should stay under 500 tokens (soft limit)
-
Tests must pass before prompting for action
-
User chooses: Commit, Create Issue, or Skip after each skill
Flags
Flag Description
--skip-integration
Skip integration tests for faster iteration. Only runs unit and trigger tests.
⚠️ Skipping integration tests speeds up the loop but may miss runtime issues. Consider running full tests before final commit.
Reference Documentation
-
SCORING.md - Detailed scoring criteria
-
LOOP.md - Ralph loop workflow details
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EXAMPLES.md - Before/after examples
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TOKEN-INTEGRATION.md - Token budget integration
Related Skills
-
markdown-token-optimizer - Token analysis and optimization
-
skill-authoring - Skill writing guidelines
Weekly Installs291Repositorymicrosoft/githu…or-azureGitHub Stars157First SeenFeb 4, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykPassInstalled oncodex271gemini-cli267opencode238github-copilot234cursor229amp228
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