Borrowing it
Nothing to install: this file belongs to baddif/mcp-server-gmail-send. 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/baddif/mcp-server-gmail-send/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/baddif/mcp-server-gmail-sendWrote 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/baddif/mcp-server-gmail-send/copilot-instructions)<a href="https://agentmods.dev/instructions/baddif/mcp-server-gmail-send/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/baddif/mcp-server-gmail-send/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/baddif/mcp-server-gmail-send/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/baddif/mcp-server-gmail-send/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 | $0.01330 | $0.01330 |
| Opus 5.5 | $0.00532 | $0.00532 |
| Sonnet 5.5 | $0.00266 | $0.00266 |
| Haiku 4.5 | $0.00133 | $0.00133 |
Grade A, and why
mcp-server-gmail-send 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 2mo 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Copilot / Assistant instructions for this repository
Purpose:
- Provide canonical guidance for AI assistants (GitHub Copilot, Copilot-for-Business, or other automated agents) when generating or modifying code in this repository.
Important: This file is an advisory convention for AI assistants and humans. It does not change runtime behavior or engine logic.
Editable by automated tools
- Allowed: repository root skill files (e.g.,
gmail_send_skill.py,ldr_compat.py),tests/(unit tests), and documentation files (README, Skill.md) in the repository root. - Disallowed: creating new top-level directories (for automated changes). Do not create
skills/or other new top-level folders without explicit human approval. - Disallowed:
config/,workflow_params.yaml, any files undersecrets/, and any*_config.yamlor JSON files that contain credentials.
If an automated change would touch a disallowed file or would create new top-level directories, open an issue and request human review instead of making the change.
Style & Quality
- Follow existing project style (PEP8 for Python). Prefer adding type hints for public APIs.
- Keep changes minimal and focused; avoid reformatting unrelated files.
- Add/update unit tests for any behavioral change (happy path + 1 edge case if possible).
- If a skill's public API changes, update its
mcp_config.json/*_config.jsonand README underskills/<skill>/.
Python quality rules
- Code style: follow PEP8. Use an automatic formatter (Black) for consistent formatting where possible.
- Linting: use
rufforflake8to catch common issues. Autofix where safe (e.g., ruff --fix). - Typing: prefer adding type annotations for public functions and methods. Run
mypy(orruff --select RUF001if configured) on changed modules if available. - Docstrings: public modules, classes and functions should have a short docstring describing purpose, inputs and outputs.
- Tests: add or update unit tests when changing behavior. Aim for at least a minimal test for the changed code (happy path + one edge case).
- Coverage: there is no hard global requirement, but changes to core modules should include tests that exercise new behavior; maintainers may request additional coverage for critical paths.
- Pre-commit checks: if the repository uses pre-commit, ensure new commits pass the configured hooks.
- Commands to run locally before committing changes (recommended):
pytest -qruff . --fix(orflake8 .if ruff is not available)black . --check(orblack .to reformat)mypy .(optional, if mypy is used in this repo)
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.
- 2mo ago First seen · 105 lines · 1,330 tokens per session scan A 1736f6f2eee4
mcp-server-gmail-send copilot-instructions.md is an instructions file published in the GitHub repository baddif/mcp-server-gmail-send (0 stars, last pushed 7mo ago), licensed MIT. It adds 1,330 tokens to every session, about $0.0053 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 2026-08-31.
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|---|---|---|---|---|---|---|---|
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