Borrowing it
Nothing to install: this file belongs to Groupthink-dev/tailscale-blade-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/Groupthink-dev/tailscale-blade-mcp/main/CLAUDE.mdgit clone --depth 1 https://github.com/Groupthink-dev/tailscale-blade-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/groupthink-dev/tailscale-blade-mcp/claude-md)<a href="https://agentmods.dev/instructions/groupthink-dev/tailscale-blade-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/groupthink-dev/tailscale-blade-mcp/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/groupthink-dev/tailscale-blade-mcp/claude-md"><img src="https://agentmods.dev/badge/instructions/groupthink-dev/tailscale-blade-mcp/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 | $0.00615 | $0.00615 |
| Opus 5.5 | $0.00246 | $0.00246 |
| Sonnet 5.5 | $0.00123 | $0.00123 |
| Haiku 4.5 | $0.00061 | $0.00061 |
Grade A, and why
tailscale-blade-mcp 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 1mo 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
tailscale-blade-mcp
Tailscale network monitoring and security MCP. 19 tools, token-efficient output.
Architecture
src/tailscale_blade_mcp/
├── server.py — FastMCP server, 19 @mcp.tool decorators
├── client.py — TailscaleClient wrapping httpx async, credential scrubbing
├── formatters.py — Token-efficient output (pipe-delimited, null omission, relative times)
├── models.py — TailscaleConfig, write gate
└── auth.py — BearerAuthMiddleware for HTTP transport
Dev commands
make install-dev # Install with dev + test deps
make test # Unit tests (no API access needed)
make check # ruff lint + format + mypy
make run # Start MCP server (stdio)
Key patterns
- httpx async — direct REST API calls, no third-party Tailscale library
- Tailnet
-shorthand — auto-detects from API key, no explicit tailnet config needed nodeIdpreferred — newer device identifier format (not legacyid)- Write gate —
TAILSCALE_WRITE_ENABLED=truerequired for mutations, destructive ops also needconfirm=true - ACL apply —
ts_acl_setvalidates first, then POSTs with optimistic concurrency: it auto-fetches the current ETag and sendsIf-Matchso a concurrent admin edit 412s instead of clobbering (bypass viaallow_overwrite_concurrent=true).client.get_acl_with_etag()surfaces the ETag;client.set_acl(policy, if_match=...)returns(applied_policy, new_etag). Apply needs a token with policy-file write scope (read-only keys 403). - Credential scrubbing — 4 regex patterns strip API keys, Bearer tokens from errors
- No pagination — Tailscale API returns all results in one response
API reference
- Base URL:
https://api.tailscale.com/api/v2/ - Auth:
Authorization: Bearer tskey-api-... - Tailnet path:
/tailnet/{tailnet}/...(use-for auto-detect) - Devices:
/tailnet/-/devices?fields=all - Device detail:
/device/{nodeId}?fields=all - ACL read:
GET /tailnet/-/acl(response carriesETag) - ACL validate:
POST /tailnet/-/acl/validate - ACL apply:
POST /tailnet/-/acl(Content-Type: application/json, optionalIf-Match: <etag>; needs policy-file write scope)
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.
- 1mo ago First seen · 49 lines · 615 tokens per session scan A d3a581322a10
tailscale-blade-mcp CLAUDE.md is an instructions file published in the GitHub repository Groupthink-dev/tailscale-blade-mcp (0 stars, last pushed 3mo ago), licensed MIT. It adds 615 tokens to every session, about $0.0025 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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