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 skills/ainova-systems/intelligence-sync/intelligence-add-rulenpx skills add ainova-systems/intelligence-sync --skill intelligence-add-rulegit clone --depth 1 https://github.com/ainova-systems/intelligence-syncWrote 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/ainova-systems/intelligence-sync/intelligence-add-rule)<a href="https://agentmods.dev/skills/ainova-systems/intelligence-sync/intelligence-add-rule"><img src="https://agentmods.dev/badge/skills/ainova-systems/intelligence-sync/intelligence-add-rule.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 | $0.00009 | $0.00736 |
| Opus 5 | $0.00005 | $0.00368 |
| Sonnet 5 | $0.00002 | $0.00147 |
| Haiku 4.5 | $0.00001 | $0.00074 |
Grade A, and why
intelligence-add-rule 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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.,<codename>.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
- Single / root project → use the project codename from
- 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.
- Reuse the existing domain when one fits: list
-
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)
- If paths glob provided — scoped rule with
-
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/<name>.md:--- paths: - "<glob-pattern>" ---
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.
- 3d ago First seen · 55 lines · 9 tokens per session scan A 1e0608253e50
intelligence-add-rule is a skill published in the GitHub repository ainova-systems/intelligence-sync (4 stars, last pushed 5d ago), licensed MIT. It adds 9 tokens to every session and 736 once invoked, about $0.0000 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 skills, from other repositories
talk-like-scarletkc
按 scarletkc 本人的自然表达习惯撰写、改写、润色和翻译文本,覆盖推文、微博、评论、聊天消息、技术观点、项目介绍、GitHub 文本(README、issue、PR、发布说明)和正式通信。当用户要求用自己的口吻写东西、把 AI 腔文字改自然、发推、回评论、点评模型或开发工具、写项目公告、写礼貌但直接的客服或正式邮件,或要求翻译时保留语气和立场,都使用本 skill,即使用户没有点名 scarletkc 或提出风格要求。.
marketing-copy
Write outbound promotional copy for a product or project: launch and update posts for community platforms and social media, store page descriptions and short blurbs, landing page headlines and calls to action, press-style announcements, and the naming of a product for another language or market. Covers what may be…
scoped-change
Judgment rules for locating the correct boundary of a requested change: staying inert outside it while completing every required site inside it. Use when scope is ambiguous, a diff touches neighboring surfaces, required dependent edits are unclear, or a proposed compatibility layer, migration, fallback, flag…
agentic-code-review
Use when reviewing a diff, pull request, branch, or AI-generated code for correctness, security, regression, test, performance, and maintainability risks before merge.
hooksmith
Use when designing or reviewing safe Grok Build hooks for linting, tests, formatting, notifications, command guards, lifecycle automation, or project hook trust decisions.
repo-health-check
Use when auditing a repo before changes to find the smallest safe PR, quality risks, stale docs, missing tests, ignored-file gaps, or agent setup issues. Best first skill for unfamiliar codebases.