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.
curl -O https://raw.githubusercontent.com/dancing-bear-show/dancing-bear/main/CLAUDE.mdgit clone --depth 1 https://github.com/dancing-bear-show/dancing-bearWrote 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/dancing-bear-show/dancing-bear/claude-md)<a href="https://agentmods.dev/instructions/dancing-bear-show/dancing-bear/claude-md"><img src="https://agentmods.dev/badge/instructions/dancing-bear-show/dancing-bear/claude-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/dancing-bear-show/dancing-bear/claude-md"><img src="https://agentmods.dev/badge/instructions/dancing-bear-show/dancing-bear/claude-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 | $0.11795 | $0.11795 |
| Opus 5.5 | $0.04718 | $0.04718 |
| Sonnet 5.5 | $0.02359 | $0.02359 |
| Haiku 4.5 | $0.01179 | $0.01179 |
Grade A, and why
dancing-bear CLAUDE.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.
How it starts
The opening of the file, as written. The whole thing — 785 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code Project Instructions
Project Overview
Personal Assistants: unified, dependency-light CLIs for personal workflows across mail, calendars, schedules, phone layouts, resumes, and WhatsApp. Built to be safe by default (plan and dry-run first), with a single YAML source of truth for Gmail and Outlook filters.
Constraints: Python 3.11, dependency-light, stable public CLI
Self-contained: All helpers and utilities are repo-internal. External dependencies are minimal and lazily imported. This design ensures public CLI backwards compatibility and reduces fragility from external package changes. Internal APIs can be refactored freely—update all call sites atomically without backwards-compatible wrappers.
Primary consumers: LLM agents — CLI schemas, help text, and agentic capsules are designed for token-efficient LLM consumption. Keep output terse and accurate.
Quick Start
# Setup
make venv
# Run tests
make test
# CLI help
./bin/assistant <mail|calendar|schedule|resume|phone|whatsapp|maker> --help
./bin/mail --help
./bin/calendar --help
Architecture
src/ # all Python source packages (installable via package-dir=src)
mail/ # Gmail/Outlook providers, CLI wiring, helpers
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
desk/ # desktop/workspace tooling
maker/ # utility generators
charts/ # render time-series charts from JSON (line/bar/area/dual)
diagrams/ # Mermaid diagram generation (flowchart/sequence/gantt/pie; telemetry cost/token pies)
slides/ # generate PowerPoint decks from YAML deck definitions
sheets/ # generate styled .xlsx spreadsheets from YAML workbook definitions
workflow/ # YAML DAG workflow engine (parse/compile/run/lint/list/status)
core/ # shared helpers
telemetry/ # Claude Code session telemetry (cost, tokens, TUI)
worker/ # background job queue and daemon
apple_music/ # Apple Music CLI
wifi/ # Wi-Fi CLI
qlty/ # qlty scan/triage wrapper (tiers findings by remediation strategy)
bin/ # entry wrappers and helper scripts
tests/ # lightweight unittest suite
.llm/ # LLM context, flows, capsules
configs/ # runtime config templates (e.g. launchd plist)
out/ # legacy/opt-in outputs (`--out-dir out`); default is outside the checkout
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.
- yesterday First seen · 785 lines · 11,795 tokens per session scan A c2eb6a05fe09
dancing-bear CLAUDE.md is an instructions file published in the GitHub repository dancing-bear-show/dancing-bear (7 stars, last pushed yesterday), licensed MIT. It adds 11,795 tokens to every session, about $0.0472 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.
dancing-bear CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dancing-bear CLAUDE.mddancing-bear-show/dancing-bear | Instructions file | 7 | yesterday | MIT | A | 11,795 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| vscode model-prompts.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 2,022 | GitHub Copilot |