bot-signal AGENTS.md

bot-signal AGENTS.md is an instructions file for Codex, OpenCode from okasi/bot-signal. It costs 2,641 tokens per session, scanned A, original, MIT.

Project instructions for bot-signal, a TypeScript library that detects automated browsers, bots, and HTTP clients using browser and server checks.

In plain words
What is it for?
Adding or maintaining browser-side, behavioural, WebGPU, and Node.js detection APIs, user-agent parsing, confidence results, and related tests.
Why use it?
They clarify the library's detection layers and warn that automation and framework identification are probabilistic rather than certain.

Instructions file for CodexOpenCode

Install

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.

agentmods
npx agentmods add instructions/okasi/bot-signal/agents-md
Clone the repo
git clone --depth 1 https://github.com/okasi/bot-signal

Made for: Codex, OpenCode.

Wrote 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.

agentmods badge for bot-signal AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/okasi/bot-signal/agents-md.svg)](https://agentmods.dev/instructions/okasi/bot-signal/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/okasi/bot-signal/agents-md"><img src="https://agentmods.dev/badge/instructions/okasi/bot-signal/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 2,641 This file is loaded in full into every session.
When invoked 2,641 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.02641 $0.02641
Opus 5 $0.01321 $0.01321
Sonnet 5 $0.00528 $0.00528
Haiku 4.5 $0.00264 $0.00264

Measured 5d ago against content hash d92d06076ce4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

bot-signal 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 5d 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.

AGENTS.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for AI agents and contributors working on the bot-signal package (npm name: bot-signal, GitHub: okasi/bot-signal). It exports isHuman() etc. as the simple entry points plus full detection APIs.

Project overview

TypeScript npm library with three detection layers:

Layer Entry point Location
Instant (browser) detectInstantClient src/detectInstantClient.ts, src/checks.ts, src/asyncChecks.ts, src/webgpu.ts
Behavioral (browser) createBehavioralClientDetector src/behavioral/
Server (Node) detectServerClientAsync src/server/

src/automation.ts contains the shared best-effort attribution result types. Instant and server results expose automation (kind, confidence, evidence, and alternatives); stealth framework names are probabilistic, not definitive. src/userAgent.ts contains shared scripting-client and conservative bot/HTTP-client/automation User-Agent token parsing.

Entry points: src/index.ts (full API), src/browser.ts (browser-only), src/server.ts (server-only). The package.json exports map routes the root import to the browser build under the browser condition so browser bundlers never see node:fs. src/version.ts provides VERSION. Build output: dist/ (tsup — ESM + CJS + IIFE browser.global.js for CDNs).

Repository layout

src/
  index.ts                    # root entry (full API)
  browser.ts                  # browser entry (instant + behavioral)
  server.ts                   # server entry (server detection only)
  automation.ts               # shared automation attribution types/helper
  userAgent.ts                # shared scripting/bot/HTTP-client/automation UA parser
  detectInstantClient.ts      # instant detection entry
  checks.ts                   # high-value browser checks
  asyncChecks.ts              # CDP, permissions, UA-CH, media devices, worker WebDriver/OS/WebGL checks
  webgpu.ts                   # shader-f16 + isChromiumBrowser
  behavioral/
    analysis.ts               # mouse/touch/CDP-input/scroll/typing heuristics
    scoring.ts                # weighted score aggregation
    index.ts                  # detector (DOM event listener lifecycle)
    types.ts
  server/
    geoip.ts                  # doc999tor-fast-geoip wrapper
    ipLists.ts                # parseIp + interval matching (IPv4/IPv6, binary search)
    enrich.ts                 # auto-fill context from clientIp
    analysis.ts               # request contradictions + trusted crawler-verification verdict
    scoring.ts                # detectServerClient(Async)
    tls.ts                    # JA3 blocklist + UA mismatch
    timezone.ts               # TZ offset + accept-language checks
    types.ts
data/                         # bundled blocklists (shipped in npm package)
docs/                         # GitHub Pages demo source (index.html + app.js)
scripts/build-site.ts         # builds .pages/ with dist/browser.js + stamped asset URLs
scripts/update-ip-data.ts     # fetches and writes data/*.csv
test/                         # vitest unit + patchright browser tests
  fixtures/harness.html         # DOM fixtures for browser tests
  helpers/                      # test server + patchright harness
  patchright/                   # real Chromium tests via patchright
.github/workflows/
  ci.yml                      # typecheck + unit + patchright + build (Node 22+)
  pages.yml                   # build .pages/ and deploy via GitHub Pages Actions
  publish.yml                 # publish to npm on v* tags
  update-ip-data.yml          # weekly blocklist refresh

Read the full file on GitHub · 218 lines

Changes

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.

  1. 5d ago First seen · 218 lines · 2,641 tokens per session scan A d92d06076ce4

Subscribe to this mod's changes

bot-signal AGENTS.md is an instructions file published in the GitHub repository okasi/bot-signal (545 stars, last pushed 5d ago), licensed MIT. It adds 2,641 tokens to every session, about $0.0132 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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