Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/spboyer/sensei/agents-mdgit clone --depth 1 https://github.com/spboyer/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/instructions/spboyer/sensei/agents-md)<a href="https://agentmods.dev/instructions/spboyer/sensei/agents-md"><img src="https://agentmods.dev/badge/instructions/spboyer/sensei/agents-md.svg" alt="Measured on agentmods" 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 | $0.01707 | $0.01707 |
| Opus 5 | $0.00853 | $0.00853 |
| Sonnet 5 | $0.00341 | $0.00341 |
| Haiku 4.5 | $0.00171 | $0.00171 |
Grade A, and why
sensei AGENTS.md 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 4d 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 — 215 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Instructions for AI coding agents working with this repository.
Overview
This is Sensei, a skill for improving SKILL.md frontmatter compliance. It follows the Agent Skills specification (maintained by Anthropic).
Repository Structure
sensei/
├── SKILL.md # Core skill (DO NOT add README-style content here)
├── README.md # Human documentation
├── AGENTS.md # This file - agent instructions
├── LICENSE.txt # MIT license
├── package.json # Root package for npm run tokens
├── .token-limits.json # Custom token limits configuration
├── references/ # Progressive disclosure docs (loaded on-demand)
│ ├── scoring.md # Scoring algorithm details
│ ├── mcp-integration.md # MCP tool integration patterns
│ ├── loop.md # Ralph loop workflow
│ ├── examples.md # Before/after transformations
│ ├── configuration.md # Project config patterns
│ └── test-templates/ # Framework-specific test templates
│ ├── jest.md # Jest test template
│ ├── pytest.md # pytest test template
│ ├── waza.md # Waza trigger test format
│ └── ...
└── scripts/ # TypeScript token management tools
├── package.json # Dependencies (tsx, vitest, typescript)
├── tsconfig.json
├── vitest.config.ts
└── src/
├── tokens/
│ ├── cli.ts # CLI entry point
│ └── commands/
│ ├── types.ts # Interfaces, constants, utilities
│ ├── utils.ts # Config loading, file discovery
│ ├── count.ts # Token counting
│ ├── check.ts # Limit validation
│ ├── suggest.ts # Optimization suggestions
│ ├── compare.ts # Git-based comparison
│ └── score.ts # Advisory scoring
└── gepa/
├── auto_evaluator.py # GEPA auto-evaluator CLI
└── requirements.txt # Python dependencies (gepa)
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.
- 4d ago First seen · 215 lines · 1,707 tokens per session scan A 9f64a19a2b72
sensei AGENTS.md is an instructions file published in the GitHub repository spboyer/sensei (55 stars, last pushed 3mo ago), licensed MIT. It adds 1,707 tokens to every session, about $0.0085 per session on Opus 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 2026-08-30.
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