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 skills add bobmatnyc/claude-mpm --skill mpm-circuit-breaker-enforcementgit clone --depth 1 https://github.com/bobmatnyc/claude-mpmWrote 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/skills/bobmatnyc/claude-mpm/mpm-circuit-breaker-enforcement)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm/mpm-circuit-breaker-enforcement"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm/mpm-circuit-breaker-enforcement/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/skills/bobmatnyc/claude-mpm/mpm-circuit-breaker-enforcement"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm/mpm-circuit-breaker-enforcement.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 | $0.00018 | $0.04502 |
| Opus 5 | $0.00009 | $0.02251 |
| Sonnet 5 | $0.00004 | $0.00900 |
| Haiku 4.5 | $0.00002 | $0.00450 |
Grade A, and why
mpm-circuit-breaker-enforcement scanned grade A with 1 finding 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 12d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
**Trigger**: PM using verification commands (`curl`, `lsof`, `ps`, `wget`, `nc`) The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 12d ago First seen · 489 lines · 18 tokens per session scan A 97efde1d7296
mpm-circuit-breaker-enforcement is a skill published in the GitHub repository bobmatnyc/claude-mpm (151 stars, last pushed 11d ago), with no licence file. It adds 18 tokens to every session and 4,502 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
agent-communication-protocol
Open protocol for AI agent interoperability enabling standardized communication between agents, applications, and humans across different frameworks.
architecture-patterns
Architecture validation and patterns for clean architecture, backend structure enforcement, project structure validation, test standards, and context-aware sizing. Use when designing system boundaries, enforcing layered architecture, validating project structure, defining test standards, or choosing the right…
cloud_api
Manages cloud AI provider API keys for Gemini, OpenAI, Claude, DeepSeek, Grok.
atmos-ai
Atmos AI and MCP integrations: connect external AI assistants to Atmos through agent skills, atmos mcp start, multi-CLI MCP export, Atmos Pro MCP, and AWS MCP servers; run AI from Atmos through atmos ai ask/chat/exec, --ai command analysis, API providers, CLI providers, external MCP routing/pass-through…
squads-cli
Squads CLI — operate your AI workforce through the loop; intent in, reviewed work out. TRIGGER when running squads, dispatching agents, triaging the inbox, reading/writing memory, recording feedback, or checking status/usage.
squads-learn
Capture learnings after completing work. Use when finishing a task, fixing a bug, discovering a pattern, or learning something worth remembering for future sessions. Helps build institutional memory.