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 rules/csoai-org/agent-handoff-certified-mcp/cursorrulesgit clone --depth 1 https://github.com/CSOAI-ORG/agent-handoff-certified-mcpWrote 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/rules/csoai-org/agent-handoff-certified-mcp/cursorrules)<a href="https://agentmods.dev/rules/csoai-org/agent-handoff-certified-mcp/cursorrules"><img src="https://agentmods.dev/badge/rules/csoai-org/agent-handoff-certified-mcp/cursorrules.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 | $0.00164 | $0.00164 |
| Opus 5 | $0.00082 | $0.00082 |
| Sonnet 5 | $0.00033 | $0.00033 |
| Haiku 4.5 | $0.00016 | $0.00016 |
Grade A, and why
cursorrules 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.
What it actually says
Agent Handoff Certified MCP - Auto-trigger Rules
When the user asks about agent-to-agent handoff, conversation delegation between agents, signed handoff certificates, or preventing scope creep across trust boundaries, use agent-handoff-certified-mcp tools:
- issue_handoff_cert: Create signed cert for agent A → B handoff (scope + expiry)
- verify_handoff_cert: Validate a handoff cert before agent B accepts task
- revoke_handoff_cert: Cancel a still-active handoff
- list_active_handoffs: View all open handoffs in your fleet
Install: pip install agent-handoff-certified-mcp
Required for enterprises where agents cross trust boundaries (mid-market up). Prevents "agent B silently picks up task outside its authorisation."
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 · 13 lines · 164 tokens per session scan A f907e795e7a6
cursorrules is a cursor rule published in the GitHub repository CSOAI-ORG/agent-handoff-certified-mcp (0 stars, last pushed 2mo ago), licensed MIT. It adds 164 tokens to every session, about $0.0008 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.
Other cursor rules, from other repositories
cursorrules
When the user asks about contract review, use contract-review-ai-mcp tools: analyzecontract, extractclauses, identifyrisks, comparecontracts, summarizecontract.
cursorrules
When the user asks about blockchain verification, use blockchain-verification-mcp tools: mintcertificate, verifycertificate, audittrail, integritycheck.
cursorrules
When the user asks about api docs generator, use api-docs-generator-ai-mcp tools: generateendpoint, generateschema, generatefullspec, addauthtospec, validatespec.
cursorrules
When the user asks about blockchain, use blockchain-ai-mcp tools: walletanalyzer, transactiontracer, smartcontractauditor, gasestimator, tokenmetadata.
cursorrules
When the user asks about canada aida, use canada-aida-ai-mcp tools: classifyaisystem, impactassessment, compliancecheck, crosswalktoeuaiact, generatedocumentation.
cursorrules
When the user asks about churn predictor, use churn-predictor-ai-mcp tools: predictchurn, batchpredictchurn, getcustomerrisk, trackcustomer, updatecustomersignals.