Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Tyler-R-Kendrick/agent-skillsnpx agentmods add skills/tyler-r-kendrick/agent-skills/senseiWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/sensei)<a href="https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/sensei"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/sensei/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tyler-r-kendrick/agent-skills/sensei"><img src="https://agentmods.dev/badge/skills/tyler-r-kendrick/agent-skills/sensei.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00091 | $0.01829 |
| Opus 5.5 | $0.00036 | $0.00732 |
| Sonnet 5.5 | $0.00018 | $0.00366 |
| Haiku 4.5 | $0.00009 | $0.00183 |
Grade A, and why
sensei scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 176 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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-networking ║
║ 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 USE FOR triggers + DO NOT USE FOR ║
║ 5. TEST - Run tests, fix if needed ║
║ 6. TOKENS - Check token budget, gather suggestions ║
║ 7. SUMMARY - Show before/after with suggestions ║
║ 8. PROMPT - Ask: Commit, Create Issue, or Skip? ║
║ 9. REPEAT - Until Medium-High score + tests pass ║
║ ║
║ TARGET SCORE: Medium-High ║
║ ✓ Description > 150 chars ║
║ ✓ Has "USE FOR:" trigger phrases ║
║ ✓ Has "DO NOT USE FOR:" anti-triggers ║
║ ✓ SKILL.md < 500 tokens (soft limit) ║
║ ║
║ MORE INFO: ║
║ See .github/skills/sensei/README.md for full documentation ║
║ ║
╚══════════════════════════════════════════════════════════════════╝
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2mo ago First seen · 176 lines · 91 tokens per session scan A 81f3150f1de2
sensei is a skill published in the GitHub repository Tyler-R-Kendrick/agent-skills (13 stars, last pushed 5mo ago), licensed MIT. It adds 91 tokens to every session and 1,829 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
sensei compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| senseiTyler-R-Kendrick/agent-skills | Skill | 13 | 5mo ago | MIT | A | 91 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |