Borrowing it
Nothing to install: this file belongs to shigechika/gwsadm-mcp. 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/shigechika/gwsadm-mcp/main/.github/copilot-instructions.mdgit clone --depth 1 https://github.com/shigechika/gwsadm-mcpWrote 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/shigechika/gwsadm-mcp/copilot-instructions)<a href="https://agentmods.dev/instructions/shigechika/gwsadm-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/shigechika/gwsadm-mcp/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/shigechika/gwsadm-mcp/copilot-instructions"><img src="https://agentmods.dev/badge/instructions/shigechika/gwsadm-mcp/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 | $0.02768 | $0.02768 |
| Opus 5.5 | $0.01107 | $0.01107 |
| Sonnet 5.5 | $0.00554 | $0.00554 |
| Haiku 4.5 | $0.00277 | $0.00277 |
Grade A, and why
gwsadm-mcp 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 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.
How it starts
The opening of the file, as written. The whole thing — 196 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository overview
gwsadm-mcp is an MCP (Model Context Protocol) server exposing Google
Workspace security-audit data (login locks, suspicious logins, Drive
external-sharing exposure) to AI assistants over stdio transport. Built
on the official mcp Python SDK's MCPServer (gwsadm_mcp/server.py), with
DomainClient (gwsadm_mcp/client.py) wrapping the Admin SDK Reports API
via a service account + domain-wide delegation (DWD) credential. Read-only
except one opt-in tool: sign_out_user (Directory API users().signOut) is
registered only when GWSADM_ENABLE_SIGN_OUT=1; any change that registers it
unconditionally, or adds another mutating call, is blocking. The only Admin SDK
Reports API methods called anywhere in this package are activities().list
and customerUsageReports().get() (the latter for gmail_usage_report); the
full list of Google API calls, across all four APIs, is in CLAUDE.md. The
underlying googleapiclient.discovery.build() setup call also fetches
Google's discovery document over HTTP, separately from this read-only
guarantee.
See CLAUDE.md for the authoritative command list and architecture notes —
read it before reviewing changes to client.py or server.py.
Build & validate
uv sync --dev
uv run pytest -v # all tests
uv run ruff check . # lint
uv run ruff format --check . # format check
This mirrors .github/workflows/ci.yml: a lint job (ruff check +
ruff format --check) and a separate test job (pytest -v) on Python
3.10/3.12/3.13 on Linux, plus one Windows 3.12 job specifically to catch
stdio newline regressions (modelcontextprotocol/python-sdk#2433). Both
lint and test are real CI gates here.
What to focus review on in this repo
1. This is a stdio MCP server — stdout is a JSON-RPC channel, not a log
Any print() or library logging that writes to stdout (instead of stderr)
corrupts the protocol stream for the connected client. Currently every
print() in __main__.py lives in a branch that returns/exits before
mcp.run() is reached — --version (prints then returns) and _check()
(reached only via --check, sys.exit(_check())) — never concurrent with
the live mcp.run() server. Flag any new code path that adds a print()
or a logger without an explicit stderr handler that could execute while
mcp.run() is active.
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.
- 3d ago Changed · +5 lines · +98 tokens per session a2f7d37faf73
- 28d ago Changed · -1 tokens per session 6cc9f4086137
- 1mo ago First seen · 191 lines · 2,671 tokens per session scan A 77b99d1a820b
gwsadm-mcp copilot-instructions.md is an instructions file published in the GitHub repository shigechika/gwsadm-mcp (0 stars, last pushed yesterday), licensed MIT. It adds 2,768 tokens to every session, about $0.0111 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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