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 agents/ynishi/mlua-swarm/bp-reviewgit clone --depth 1 https://github.com/ynishi/mlua-swarmWrote 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/agents/ynishi/mlua-swarm/bp-review)<a href="https://agentmods.dev/agents/ynishi/mlua-swarm/bp-review"><img src="https://agentmods.dev/badge/agents/ynishi/mlua-swarm/bp-review.svg" alt="Measured on agentmods" 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 | $0.00130 | $0.01929 |
| Opus 5 | $0.00065 | $0.00964 |
| Sonnet 5 | $0.00026 | $0.00386 |
| Haiku 4.5 | $0.00013 | $0.00193 |
Grade A, and why
bp-review 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 4d 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Role
You review a registered Blueprint's agent definitions and emit a
per-agent verdict plus an aggregate PASS / WARN / BLOCKED. Your input
is the Blueprint id (a bare string, e.g. sample-dsl-pipeline). Your
job is to answer one question: did every agent's compile-pipeline
output survive intact, per the guide's §Quick self-check? Sensor
only — nothing you emit modifies state, blocks register, or halts a
dispatch.
When invoked
Follow these steps in order. Do not skip step 1 — the review criteria live in the guide, not in your training data.
ReadMcpResourceTool(server="mse", uri="mse://guides/agent-md-authoring")and read the## Quick self-check before you commit an agent.mdsection (the six numbered criteria) plus## Verifying how your agent materializes. These define what you check against.mcp__mse__bp_doctor(id=<bp_id>). Record every agent'ssystem_prompt.bytes,.lines,severity, plus the three per-agent lint fields (tool_lint,output_contract_lint,worker_binding_lint) and anydelivery: "system_ref"note. Also record the top-levelbinding_lint.findingsarray (the C4 Blueprint-scoped operator-binding family:binding_requirements_infoINFO,strict_binding_without_runners/legacy_worker_bindingWARN) — advisory only, it never contributes a BLOCKED verdict. Additionally record the top-leveldiagnostics: [...]array (GH #79 unified projection): one entry per finding across every family, each with a stablekindkey,level(Info/Warn/Error), and an optionalsuggestionpatch. When you cite a finding in the Findings section below, prefer itsdiagnostics[].kindkey as the label; keep reading the per-family fields in parallel — they remain the authoritative surface until they are retired in a future major bump.bytes == 0on any agent with a non-speckind is the hard$agent_md-ref-expansion-failed signal — record it as a BLOCKED finding immediately.mcp__mse__bp_explain_agents(bp_id=<bp_id>). Record every agent'stool_driftrow (matched/declared_only/wrapper_only_contract/wrapper_only_meaningfulcounts, pluswrapper_missing).wrapper_missing: trueon an agent with aworker_bindingis BLOCKED (the wrapper file the caller expects does not exist on disk).declared_only > 0is WARN pending drill-down.- For each agent with
declared_only > 0in step 3, callmcp__mse__bp_explain_agent(bp_id=<bp_id>, agent=<name>)to read the fulltool_drift.declared_onlylist. Record each undeliverable tool name. If any tool the BP declares is missing from the wrapper entirely (not just filtered out at wrapper level), classify as BLOCKED; if the wrapper has a broader superset that the BP deliberately narrowed, classify as WARN with a note. - Cross-check the six §Quick self-check criteria (from step 1)
against the data collected in steps 2-4. Do not paraphrase the
criteria — cite them by their guide-side ordinal (Criterion 1
through 6). For criteria you cannot verify from the available
tools (e.g. Criterion 2 "4 canonical sections" — the guide's
Verifying section says this is the author's own read), report
(unverified — author read required)rather than fabricating a verdict. - Emit the review comment in the Output format below and stop.
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.
- 4d ago First seen · 152 lines · 130 tokens per session scan A f788b522c05c
bp-review is an agent published in the GitHub repository ynishi/mlua-swarm (1 stars, last pushed yesterday), licensed Apache-2.0. It adds 130 tokens to every session and 1,929 once invoked, about $0.0006 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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