Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/kensaurus/mushi-mushi/test-mushi-mcpgit clone --depth 1 https://github.com/kensaurus/mushi-mushiWhat 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 | $0.00000 | $0.00360 |
| Opus 5 | $0.00000 | $0.00180 |
| Sonnet 5 | $0.00000 | $0.00072 |
| Haiku 4.5 | $0.00000 | $0.00036 |
Grade A, and why
test-mushi-mcp 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.
What it actually says
Test Mushi MCP
Verify that the Mushi MCP server is reachable and all expected tools/resources/prompts are advertised correctly.
Steps
- Call
list_projects— confirm it returns at least one project and shows a validnameandid. - Call
get_recent_reports { limit: 1 }— confirm you get a valid response (even if empty). - Call
get_project_context { project_id: "<id from step 1>" }— confirm preflight and activation fields are present. - Call
get_pipeline_logs { project_id: "<id>", level: "error", limit: 5 }— confirm the response has anentriesarray. - Report back:
- ✅ Connected —
{toolCount}tools available - ✅
list_projectsreturned{N}project(s) - ✅
get_recent_reportsreturned{N}report(s) - ✅
get_project_contextshows SDK status:{heartbeat} - ✅
get_pipeline_logsreturned{N}recent entries - ❌ Any errors encountered
- ✅ Connected —
Troubleshooting
- UNAUTHENTICATED / 401:
MUSHI_API_KEYis missing or invalid. Mint a newmcp:readkey at your Mushi project settings. - PROJECT_REQUIRED: Set
MUSHI_PROJECT_IDin your environment or passproject_idexplicitly. - No tools listed: The MCP server binary may not be installed. Run
npx @mushi-mushi/mcpmanually to check. - Hosted HTTP 404: Verify the edge function URL in your
mcp.jsonmatches your Supabase project URL.
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 · 25 lines · 0 tokens per session scan A e6dac2cbdd8f
test-mushi-mcp is a command published in the GitHub repository kensaurus/mushi-mushi (3 stars, last pushed 4d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 360 tokens. 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.
Other commands, from other repositories
gh-issue-plan
This command provides guidance for both automated and manual GitHub issue workflows.
commit
Create a git commit following Nx repository standards and validation requirements.
issue-workflow-guide
If you need to work on an issue manually, use the /gh-issue-plan command for structured guidance following the same workflow patterns.
migrate-example
Migra un ejemplo de Web Worker al dominio neutral y lo renderiza en los 5 themes (pipeline punta a punta con loop de design-review).
plan
Run /plan — see .claude/commands/plan.md for the authoritative spec.
pipeline
Use when you want to resolve all PR feedback autonomously in a single pass. Do NOT use for draft PRs or when you need manual control over individual fixes.