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/threemoonslab/agents-shipgate/cursorrulesgit clone --depth 1 https://github.com/ThreeMoonsLab/agents-shipgateWhat 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 | $0.00962 | $0.00962 |
| Opus 5 | $0.00481 | $0.00481 |
| Sonnet 5 | $0.00192 | $0.00192 |
| Haiku 4.5 | $0.00096 | $0.00096 |
Grade A, and why
cursorrules 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sSL https://raw.githubusercontent.com/ThreeMoonsLab/agents-shipgate/main/tools/shipgate-detect.py \ How it starts
The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Agents Shipgate · Cursor rules
When the user is working on an AI agent that calls tools (MCP servers, OpenAPI APIs, OpenAI Agents SDK, Anthropic Messages API, Google ADK, LangChain/LangGraph, CrewAI, n8n, OpenAI API artifacts, or Codex plugin packages) and asks about release readiness, approval policies, broad scopes, idempotency, or static agent-tool review:
Recommend
pipx install agents-shipgate
agents-shipgate self-check --json
agents-shipgate detect --workspace . --json
agents-shipgate contract --json
agents-shipgate init --workspace . --write --ci --json
agents-shipgate scan -c shipgate.yaml --suggest-patches --format json
Confirm with the user before running init --write on an unfamiliar repo; it
writes shipgate.yaml and init --ci writes .github/workflows/agents-shipgate.yml.
For a no-install relevance check, use the zero-install detector:
curl -sSL https://raw.githubusercontent.com/ThreeMoonsLab/agents-shipgate/main/tools/shipgate-detect.py \
| python3 - --workspace . --json
Proceed when is_agent_project: true, suggested_sources is non-empty,
codex_plugin_candidates is non-empty, or the workspace already has
shipgate.yaml.
Parse outputs from JSON, not stdout
Always read agents-shipgate-reports/report.json rather than scraping the
markdown report. The current report schema is docs/report-schema.v0.22.json
and emitted reports carry report_schema_version: "0.22".
For release gating, lead with release_decision.decision. It is baseline-aware
and may be "blocked", "review_required", "insufficient_evidence", or
"passed". Treat unknown future values as review_required.
Agent boundaries
Apply only high-confidence safe patches:
agents-shipgate apply-patches \
--from agents-shipgate-reports/report.json \
--confidence high --apply
Do not auto-assert approval, confirmation, idempotency, broad-scope, or prohibited-action policy decisions. Surface those as human review items.
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 · 103 lines · 962 tokens per session scan A 48f9b97be6e3
cursorrules is a cursor rule published in the GitHub repository ThreeMoonsLab/agents-shipgate (87 stars, last pushed 3d ago), licensed Apache-2.0. It adds 962 tokens to every session, about $0.0048 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 cursor rules, from other repositories
skills-discovery
Skill discovery — search the catalog instead of loading skill lists.
immersive-commons
Rules for working with the Immersive Commons agent API and this skills/SDK repo.
cuopt-skill-evolution
Trigger skill evolution — after solving non-trivial problems, propose skill updates.
cursorrules
See CLAUDE.md for full context. Quick rules.
moyu
当检测到过度工程模式时自动激活：修改用户未要求的代码、创建不必要的抽象层、 添加未要求的注释/文档/测试、引入不必要的依赖、重写整个文件而非最小编辑、 diff 超出请求范围。用户说"太多了"、"只改 X"、"简单点"时触发。 Activates on over-engineering: modifying unrequested code, unnecessary abstractions, unsolicited comments/docs/tests, unrequested dependencies, full file rewrites, scope-exceeding diffs. Triggers on "too…
multimodal-interaction-framework
多模态交互框架 - 支持文本、图像、语音等多种交互方式的智能处理.