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Install
$ agentstack add skill-ainova-systems-intelligence-sync-intelligence-add-rule ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
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Add Rule
Steps
- Determine rule name from domain (the scope is required):
- Reuse the existing domain when one fits: list
intelligence/rules/. If a rule file covers the target area (e.g.,backend.md,frontend.md), extend it. Introduce a new domain only when the scope is materially different from all existing rules. - When no existing rule fits, derive the filename from repo structure:
- Single / root project → use the project codename from
intelligence/config.yaml→project.name(e.g.,.md) - Backend service / API component →
backend.md - Frontend / web / UI component →
frontend.md - Infrastructure, IaC, CI/CD, deployment →
devops.md - Shared library / common / cross-cutting code →
core.md - Test suites (e2e, integration) →
tests.md - Always-loaded global context →
context.md - If the repo is a monorepo with named components (e.g.,
apps/billing,services/auth), prefer the component name as the rule name (billing.md,auth.md). - Rule filenames match the domain used by skills/agents. If the scope is unclear, ask the user before proceeding.
- Check existing rules: Read
intelligence/rules/to detect overlapping scope — favor extending an existing rule over creating a new one.
- Determine scope:
- If paths glob provided — scoped rule with
paths:frontmatter - If no paths — always-loaded rule (no
paths:in frontmatter)
- Analyze codebase: Read source files matching the scope to extract:
- REQUIRED patterns (conventions consistently followed across the codebase — judgment calls expressed as positive defaults)
- Invariants (true must-nots — safety, output format, security; not judgment calls)
- Architecture patterns (layer dependencies, module structure)
- Build and test commands specific to this scope
- Anti-patterns observed in code, each paired with the positive replacement that should adopt instead
- Create rule: Write
intelligence/rules/.md:
```yaml --- paths:
- ""
--- ```
- Write body with sections: REQUIRED → Invariants → Architecture → Build & Test → Examples → Patterns to recognize and replace (optional)
- Lead with REQUIRED (positive defaults) — the LLM follows the positive instruction first
- Reserve Invariants for true must-nots — security, safety, output format. Use absolute language (MUST / NEVER) only here, never for judgment calls
- Patterns to recognize and replace is reference documentation of anti-patterns paired with positive replacements — readers recognize the pattern, apply the replacement
- Examples come from the actual codebase — reference real files
- Every REQUIRED / Invariant / Pattern is backed by observed code
- Update config.yaml if needed: Add source path to
sources.rulesif rule is in a new directory not yet listed.
- Run
/intelligence-syncto distribute to all enabled IDE targets.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ainova-systems
- Source: ainova-systems/intelligence-sync
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.