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CD remote-mcp

Publish the user's own gbrain over MCP so other devices, desktop apps and cloud agents can reach it. `gbrain mcp expose` installs and signs in Tailscale, publishes the running `gbrain serve --http` on the tailnet (HTTPS, tailnet-only by default; Funnel only when a client lives in a vendor cloud), keeps the server alive as a user service, and hands back the MCP URL. Then register one least-privilege client per consumer, choose native OAuth/PKCE or a private machine handoff for that client, and verify the connection inside the intended harness.

garrytan/gbrain Agent Skills author: garrytan MIT 1 file body ≈ 7 102 tokens Open the sourcegithub.com↗ analyzed 6 d ago

Publish the user's own gbrain over MCP so other devices, desktop apps and cloud agents can reach it.

As a process D 45/100 · Unfinished process — References files that are not bundled: ../setup/SKILL.md, ../postgres-adopt/SKILL.md, ../mcp-access/SKILL.md

IntegrationPostgreSQLGitHubAI and agentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
83/100
safety, quality, tests
Safety 60%
99
Quality 40%
60
Run on models
none yet
Process rating
D
45/100
Unfinished process
References files that are not bundled: ../setup/SKILL.md, ../postgres-adopt/SKILL.md, ../mcp-access/SKILL.md
Tools and files w 18
0
Inputs and preconditions w 11
0
When it triggers w 12
20
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: remote-mcp (garrytan/gbrain)

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • low Dangerous commands cmd-background-process SKILL.md:170
    Starts a background / autostarted process (documentation table row)
    | `tailscale_daemon_not_running` (exit 2) | macOS `open -a Tailscale`; Linux `sudo systemctl enable --now tailscaled`; then re-run |
    table

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 7102 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../setup/SKILL.md
  • warning missing-ref reference to a missing file: ../postgres-adopt/SKILL.md
  • warning missing-ref reference to a missing file: ../mcp-access/SKILL.md
  • warning missing-ref reference to a missing file: ../conventions/agent-operator-protocol.md
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "mutating"
  • note frontmatter-key unknown frontmatter key "brain_first"
  • note edit-residue the text marks something as outdated (lines 322): check that old rules are not kept next to new ones — the full check reads the text for contradictions

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: ../setup/SKILL.md, ../postgres-adopt/SKILL.md, ../mcp-access/SKILL.md
  • 0Tools and files. 4 referenced file(s) missing: ../setup/SKILL.md, ../postgres-adopt/SKILL.md, ../mcp-access/SKILL.md
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 49 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 60Failures and branches. 2 branches
  • 70Execution cost. Instruction body is 7102 tokens
  • 85Steps. 29 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 11 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (11 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 548: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 29 items
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.