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.
git clone --depth 1 https://github.com/Terminal49/APIWrote 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/terminal49/api/agent-trust)<a href="https://agentmods.dev/rules/terminal49/api/agent-trust"><img src="https://agentmods.dev/badge/rules/terminal49/api/agent-trust/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/rules/terminal49/api/agent-trust"><img src="https://agentmods.dev/badge/rules/terminal49/api/agent-trust.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 | $0.00129 | $0.00129 |
| Opus 5.5 | $0.00052 | $0.00052 |
| Sonnet 5.5 | $0.00026 | $0.00026 |
| Haiku 4.5 | $0.00013 | $0.00013 |
Grade A, and why
agent-trust 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
Agent trust gate
- Extend OpenAPI endpoints, npm packages, and MCP tools through
skills/agent-trust/references/paved-path.md. - Keep
skills/agent-trust/feature-map.jsonsynchronized with MCP tool registrations, SDK package exports, and non-generated SDK/MCP docs routes. - Run
npm run agent-verifybefore handing off code changes. Do not claim a passing result fromagent-verify:quick. - Keep generated files generated and credentials out of this public repository.
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 · 15 lines · 129 tokens per session scan A 4f60c938031c
agent-trust is a cursor rule published in the GitHub repository Terminal49/API (2 stars, last pushed today), licensed MIT. It adds 129 tokens to every session, about $0.0005 per session on Opus 5.5. 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 2026-10-18.
Other cursor rules, from other repositories
写文档
Guidance for writing project and code documentation, including README files, code comments, API references, and migration instructions. A README explains how a project is used, while API documentation explains how other code can call it.
upgrade-tests
// ✅ CORRECT: Upgrade package pattern await using ctx = testReactResource(appRouter, { server: { // server configuration }, client(opts) { return { links: [ httpLink({ url: opts.httpUrl, // client configuration }), ], }; }, }).
test-running
When running tests, use the --watch false flag to avoid watch mode.
windsurfrules
Create detailed components with these requirements.
middleware
When you need create a middleware to protect some page of Next.js app.
memory
Establishes a persistent memory protocol for capturing and retrieving knowledge, including storage strategies, context retrieval, and proactive memory management for continuous learning.