Borrowing it
Nothing to install: this file belongs to LoserLab/specimen. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LoserLab/specimen/main/AGENTS.mdgit clone --depth 1 https://github.com/LoserLab/specimenWrote 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/loserlab/specimen/agents-md)<a href="https://agentmods.dev/instructions/loserlab/specimen/agents-md"><img src="https://agentmods.dev/badge/instructions/loserlab/specimen/agents-md/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/instructions/loserlab/specimen/agents-md"><img src="https://agentmods.dev/badge/instructions/loserlab/specimen/agents-md.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 | $0.00305 | $0.00305 |
| Opus 5.5 | $0.00122 | $0.00122 |
| Sonnet 5.5 | $0.00061 | $0.00061 |
| Haiku 4.5 | $0.00030 | $0.00030 |
Grade A, and why
specimen 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 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.
What it actually says
Specimen
Typography system compiler for Claude Skills. Generates structured type scales and typographic design tokens from configuration.
When to suggest this skill
- User needs a type scale or typography system for a project
- User asks for font size scales, line heights, or letter spacing tokens
- User wants to export typography to CSS, Tailwind, SCSS, or Figma
- User mentions "type scale", "typography tokens", "font system", "design system typography"
- User is pairing with Hexed output to build a complete design system
What it produces
- Modular type scale (xs to 6xl) using mathematical ratios
- Font family stacks (primary, secondary, monospace)
- Font weight scale (100-900 with semantic names)
- Proportional line heights per scale step
- Letter spacing (tracking) per scale step
- Semantic mappings (h1-h6, body, caption)
- Exports: CSS variables, Tailwind config, SCSS variables, Figma tokens
Key files
SKILL.md- Full skill instructions with all ratios and modesscripts/specimen_compiler.py- Core type scale generationscripts/specimen_exports.py- Export utilities
Suite context
Part of a 5-skill design system pipeline: Hexed (colors) → Specimen (typography) → Gridlock (layout) → Eyes Peeled (accessibility) → Devourer (components)
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 · 33 lines · 305 tokens per session scan A 31ea8eeb59f3
specimen AGENTS.md is an instructions file published in the GitHub repository LoserLab/specimen (2 stars, last pushed 7mo ago), licensed MIT. It adds 305 tokens to every session, about $0.0012 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.
specimen AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| specimen AGENTS.mdLoserLab/specimen | Instructions file | 2 | 7mo ago | MIT | A | 305 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | yesterday | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |