dancing-bear: Instructions file for Codex

AGENTS.md

dancing-bear AGENTS.md is an instructions file for Codex, OpenCode from dancing-bear-show/dancing-bear. It costs 718 tokens per session, scanned A, original, MIT.

A repository instruction document for the dancing-bear codebase. It records project structure, recommended commands, coding rules, and guidance for agents working in the repository.

In plain words
What is it for?
Use it as a reference when exploring the repository, choosing its command wrappers, understanding its packages, or making code changes.
Why use it?
It gives coding agents the project-specific context they need and helps prevent mistakes such as breaking command-line interfaces or exposing credentials.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions Claude Code; mentions AGENTS.md.

This is dancing-bear-show/dancing-bear's own configuration. It tells Codex and OpenCode how to work on dancing-bear itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything dancing-bear configures →

Reuse

Borrowing it

Nothing to install: this file belongs to dancing-bear-show/dancing-bear. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/dancing-bear-show/dancing-bear/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/dancing-bear-show/dancing-bear

Made for: Codex, OpenCode.

Wrote this? Show the measurements

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README.md
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Per session 718 This file is loaded in full into every session.
When invoked 718 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00718 $0.00718
Opus 5.5 $0.00287 $0.00287
Sonnet 5.5 $0.00144 $0.00144
Haiku 4.5 $0.00072 $0.00072

Measured yesterday against content hash 929e4757bd17, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

dancing-bear 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 yesterday.

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 · 81 lines

How it starts

The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Repository Agent Hints

This repository hosts personal assistants (mail, calendar, schedule, phone, resume, whatsapp, wifi, desk, apple_music, maker, charts, diagrams, slides, sheets, qlty, workflow, worker, telemetry).

Quick Start for Agents

  1. Read .llm/CONTEXT.md for system overview and rules
  2. Use .llm/PATTERNS.md for copy-paste templates
  3. Generate the domain map on demand: ./bin/llm domain-map --stdout (CLI tree + module locations; it is not a checked-in file)
  4. See .llm/COMMANDS.md for curated command reference

Agentic Schemas (prefer over --help)

./bin/mail --agentic --agentic-format yaml --agentic-compact
./bin/llm agentic --stdout
./bin/llm domain-map --stdout

All 19 apps support --agentic. ./bin/llm inventory --stdout prints the exact invocation for each — ./bin/<app> is wrong for three of them.

Key Rules

  • Python 3.11; keep modules dependency-light
  • Prefer wrapper executables (./bin/mail) over python -m
  • Use profiles in ~/.config/credentials.ini; avoid passing tokens on CLI
  • Keep public CLI stable; add new commands, don't break existing ones
  • Never commit credentials or tokens

Architecture

19 packages under src/:

mail/         Gmail/Outlook providers, CLI wiring
calendars/    Outlook calendar CLI + Gmail scans
schedule/     plan/apply calendar schedules
resume/       extract/summarize/render resumes
phone/        iOS layout tooling
whatsapp/     local-only ChatStorage search
wifi/         diagnostics
desk/         macOS filesystem tidying
apple_music/  Apple Music API
maker/        utility generators
charts/       time-series chart rendering
diagrams/     Mermaid diagram generation
slides/       PowerPoint deck generation from YAML
sheets/       styled .xlsx generation from YAML
qlty/         qlty scan/triage wrapper
workflow/     YAML DAG engine
worker/       background job queue and daemon
telemetry/    Claude Code session telemetry
core/         shared helpers and CLI framework
bin/          entry wrappers (see bin/_wrappers.yaml)
.llm/         LLM context, flows, capsules
config/       YAML inputs (source of truth)

Read the full file on GitHub · 81 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. yesterday First seen · 81 lines · 718 tokens per session scan A 929e4757bd17

Subscribe to this mod's changes

dancing-bear AGENTS.md is an instructions file published in the GitHub repository dancing-bear-show/dancing-bear (7 stars, last pushed yesterday), licensed MIT. It adds 718 tokens to every session, about $0.0029 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 2026-11-07.

Related

dancing-bear AGENTS.md compared with instructions from other repositories

dancing-bear AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
dancing-bear AGENTS.mddancing-bear-show/dancing-bearInstructions file7yesterdayMITA718Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA9,719GitHub Copilot
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA5,516GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143ktodayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149ktodayMITA4,680Codex, OpenCode
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA3,093GitHub Copilot
vscode model-prompts.instructions.mdmicrosoft/vscodeInstructions file195ktodayMITA2,022GitHub Copilot