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 skills/blockedpath/pi-agent-plugins/agent-plugin-smoke-testnpx skills add BlockedPath/pi-agent-plugins --skill agent-plugin-smoke-testgit clone --depth 1 https://github.com/BlockedPath/pi-agent-pluginsWhat 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 | $0.00050 | $0.00409 |
| Opus 5 | $0.00025 | $0.00204 |
| Sonnet 5 | $0.00010 | $0.00082 |
| Haiku 4.5 | $0.00005 | $0.00041 |
Grade A, and why
agent-plugin-smoke-test 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 2d 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.
What it actually says
Agent Plugin smoke test
Use this workflow to verify both portable component types.
1. Confirm skill loading
Tell the user: Agent Skill loaded successfully.
2. Confirm MCP discovery
Use the mcp gateway to list the server named pi-agent-plugins-smoke__everything:
mcp({ server: "pi-agent-plugins-smoke__everything" })
If MCP reports 0/0 servers, the current Pi session initialized before the generated config existed. Ask the user to run Pi's built-in /reload command (or restart Pi), then retry once. For other failures, inspect MCP status and report the exact startup error. The first launch can take longer because npx downloads the official @modelcontextprotocol/server-everything package.
3. Call real MCP tools
From the returned tool list:
- Call the server's echo tool with
Agent Plugin MCP works. - Call its add tool with
a = 20andb = 22. - Verify that echo returns the same text and add returns
42.
Use the exact tool names returned by the MCP gateway rather than guessing their host prefixes.
4. Report
Return a concise result:
Skill: PASS
MCP connection: PASS
Echo: PASS
Add (20 + 22 = 42): PASS
For any failure, replace PASS with FAIL and include the exact error.
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.
- 2d ago First seen · 51 lines · 50 tokens per session scan A 662784af8550
agent-plugin-smoke-test is a skill published in the GitHub repository BlockedPath/pi-agent-plugins (5 stars, last pushed 26d ago), licensed MIT. It adds 50 tokens to every session and 409 once invoked, about $0.0003 per session on Opus 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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