anycap AGENTS.md

A project instruction file for AnyCap, a command-line toolkit and documentation project for accessing multimodal AI features.

In plain words
What is it for?
Maintaining the Astro documentation site, checking documentation quality, linking related pages, and following deployment and asset-location rules.
Why use it?
It keeps documentation changes consistent with the project’s authoritative model catalog, site structure, language, and checking commands.

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/anycap-ai/anycap/agents-md
Clone the repo
git clone --depth 1 https://github.com/anycap-ai/anycap

Made for: Codex, OpenCode.

Per session 248 This file is loaded in full into every session.
When invoked 248 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 $0.00248 $0.00248
Opus 5 $0.00124 $0.00124
Sonnet 5 $0.00050 $0.00050
Haiku 4.5 $0.00025 $0.00025

Measured 3d ago against content hash 295df34208d9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

anycap 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 3d 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 · 18 lines

What it actually says

AnyCap

This repository provides Agent Skills and documentation for accessing multimodal AI capabilities through the AnyCap CLI.

For full CLI skill instructions, see skills/anycap-cli/SKILL.md.

Documentation

The public documentation site lives in docs/ and uses Astro Starlight. Its canonical URL is https://docs.anyware.ai.

  • Use the root Makefile: run make docs-check and make docs-audit after documentation changes; use make docs-dev or make docs-worker-preview for local review.
  • Keep user-facing documentation in English.
  • Treat the live CLI model catalog and schema commands as authoritative; do not hard-code fast-changing model availability.
  • Keep one canonical page per concept and use internal links instead of duplicating long explanations.
  • Deployment uses .github/workflows/docs.yml, the GitHub Environment docs, and Cloudflare Workers Static Assets.
  • The first wrangler deploy creates the anycap-docs Worker. Custom-domain binding remains a manual Cloudflare step.
  • Repository-level public artwork belongs in assets/, not inside the docs source tree.
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. 3d ago First seen · 18 lines · 248 tokens per session scan A 295df34208d9

Subscribe to this mod's changes

anycap AGENTS.md is an instructions file published in the GitHub repository anycap-ai/anycap (43 stars, last pushed 8d ago), licensed MIT. It adds 248 tokens to every session, about $0.0012 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.