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/.github/copilot-instructions.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/copilot-instructions)<a href="https://agentmods.dev/instructions/dancing-bear-show/dancing-bear/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/dancing-bear-show/dancing-bear/copilot-instructions/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/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/dancing-bear-show/dancing-bear/copilot-instructions.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 | $0.02971 | $0.02971 |
| Opus 5.5 | $0.01188 | $0.01188 |
| Sonnet 5.5 | $0.00594 | $0.00594 |
| Haiku 4.5 | $0.00297 | $0.00297 |
Grade A, and why
dancing-bear copilot-instructions.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 — 237 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot Code Review Instructions
Project Context
This is a Python 3.11 monorepo containing personal assistant CLIs. It ships 20
packages under src/ — apple_music, calendars, charts, core, desk,
diagrams, github_assistant, mail, maker, phone, qlty, resume,
schedule, sheets, slides, telemetry, whatsapp, wifi, worker,
workflow — of which 19 are agentic-schema apps (core is the shared
library). The codebase follows a
pipeline architecture with Consumer/Processor/Producer patterns.
All 19 apps support --agentic --agentic-format json (added in #291). Agents are
instructed to prefer capsules over --help, which makes a wrong command in a
capsule a machine-readable instruction to run something broken — not a stale
comment. tests/core_tests/test_capsule_parser_drift.py (#293) resolves every
command a capsule advertises against that CLI's real parser schema.
Do not assume the entry point is ./bin/<app> — three differ: apple-music and
qlty use -assistant wrappers, and resume goes through
./bin/assistant resume. ./bin/llm inventory --stdout is
the authoritative list.
Verification Must Actually Verify
The most valuable findings in this repo's recent history are checks that pass while verifying nothing. A false green is indistinguishable from a real one, so flag any of these on sight:
- Bare
python3 -m unittest(#282). In a worktree an inheritedPYTHONPATHresolves imports to the main checkout, so tests run against unmodified source and pass. Requiremake test, orPYTHONPATH="$PWD/src". qlty checkscanning zero files (#282, #289). The exclusion was**/.claude/**, which matched the.claude/dir inside every agent worktree; a scan there reported✔ No issuesagainst 0 files. Now narrowed to**/.claude/worktrees/**. Treat a surprisingly clean scan as suspect and confirm the file count.- Bare
ruff check— there is no standaloneruffon PATH. CI lints throughqlty check. Usemake lint. - A workflow/guard that reports success without doing the work (#287): a dry run of the branch-hygiene workflow found a false-clean inside the workflow written to prevent false-cleans.
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 · 237 lines · 2,971 tokens per session scan A d9d317b12f2e
dancing-bear copilot-instructions.md is an instructions file published in the GitHub repository dancing-bear-show/dancing-bear (7 stars, last pushed yesterday), licensed MIT. It adds 2,971 tokens to every session, about $0.0119 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 copilot-instructions.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| dancing-bear copilot-instructions.mddancing-bear-show/dancing-bear | Instructions file | 7 | yesterday | MIT | A | 2,971 | GitHub Copilot |
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