Borrowing it
Nothing to install: this file belongs to dcroote/lambs. 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/dcroote/lambs/main/AGENTS.mdgit clone --depth 1 https://github.com/dcroote/lambsWrote 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/dcroote/lambs/agents-md)<a href="https://agentmods.dev/instructions/dcroote/lambs/agents-md"><img src="https://agentmods.dev/badge/instructions/dcroote/lambs/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/dcroote/lambs/agents-md"><img src="https://agentmods.dev/badge/instructions/dcroote/lambs/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 | $0.01793 | $0.01793 |
| Opus 5.5 | $0.00717 | $0.00717 |
| Sonnet 5.5 | $0.00359 | $0.00359 |
| Haiku 4.5 | $0.00179 | $0.00179 |
Grade A, and why
lambs 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.
How it starts
The opening of the file, as written. The whole thing — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LAMBS — guide for AI agents
This file serves two audiences. Jump to the section that matches the task.
| If you are… | Read |
|---|---|
| Using LAMBS to analyze antibody sequences (VH/VL, basket, liabilities, germline) | Using LAMBS (analysis agents) |
Changing LAMBS (bugs, features, tests, germline DB, UI in index.html) |
Developing LAMBS (contributor agents) |
Product rule (both audiences): end users and analysis agents rely on one offline index.html. Do not introduce a second runtime artifact, npm install for users, or a parallel analysis implementation.
Using LAMBS (analysis agents)
Your job is to run analysis and consume structured results, not to edit the repo or reimplement algorithms.
How to run analysis
- Open
index.htmlin a browser (file URL or static server). - Prefer
window.LAMBSover scraping the DOM.
| Method | Returns |
|---|---|
LAMBS.analyzeMabReportFromRaw(vhRaw, vlRaw) |
{ ok, report? | errors? } — preferred |
LAMBS.analyzeSingle(vhRaw, vlRaw) |
Report object, or { ok: false, errors } on validation failure |
LAMBS.analyzeMabReport(vhSeq, vlSeq) |
Report from cleaned AA strings |
LAMBS.buildChainReport(varSeq, 'VH' | 'VL') |
Variable-region chain report |
LAMBS.buildClusterReport(basket, threshold, filterNames) |
Cluster report |
LAMBS.getHumanIgGEuNumbers(isotype) |
Eu index array for IGHG1–IGHG4, else null (IMGT Hu_IGHGnber) |
LAMBS.mapEuOntoConstantAlignment(aligned2, species, isotype) |
Per-column Eu numbers for a CH alignment, or null |
LAMBS.lambsReportToJSON(report) |
JSON string (no _constMatch / alignment blobs) |
LAMBS.lastReport |
Last single-tab report after Analyze |
LAMBS.lastClusterReport |
Last cluster report after Cluster & Analyze |
Playwright / browser MCP:
await page.goto('file:///path/to/index.html');
const result = await page.evaluate((vh, vl) => LAMBS.analyzeMabReportFromRaw(vh, vl), vhRaw, vlRaw);
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 · 155 lines · 1,793 tokens per session scan A 1ceb5ad6b619
lambs AGENTS.md is an instructions file published in the GitHub repository dcroote/lambs (11 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 1,793 tokens to every session, about $0.0072 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 2026-08-30.
lambs AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| lambs AGENTS.mddcroote/lambs | Instructions file | 11 | 3mo ago | Apache-2.0 | A | 1,793 | 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 |