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 skills add baixinghao/intent-gate --skill using-intent-gategit clone --depth 1 https://github.com/baixinghao/intent-gateWrote 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/baixinghao/intent-gate/using-intent-gate)<a href="https://agentmods.dev/skills/baixinghao/intent-gate/using-intent-gate"><img src="https://agentmods.dev/badge/skills/baixinghao/intent-gate/using-intent-gate/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/skills/baixinghao/intent-gate/using-intent-gate"><img src="https://agentmods.dev/badge/skills/baixinghao/intent-gate/using-intent-gate.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 | $0.00067 | $0.01480 |
| Opus 5.5 | $0.00027 | $0.00592 |
| Sonnet 5.5 | $0.00013 | $0.00296 |
| Haiku 4.5 | $0.00007 | $0.00148 |
Grade A, and why
using-intent-gate 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 28d 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 — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.
A "reasonable technical assumption" is NOT intent alignment. Silent assumptions on core flows are the #1 source of rework this gate exists to prevent.
The Rule
Before acting on anything uncertain, irreversible, or business-critical, check the gate:
- Requirement analysis tasks → FIRST read the MCP prompt
doc_analysis_playbookin full. It is the law: confidence assessment (Step 0), intent alignment loop (Step 0.5), artifact gates (Step 4). Do not analyze from memory. - Confidence red/yellow on a decision → use the intent-gate tools instead of
assuming. Red light on a core flow means the work is
blockeduntil a human answers. - Everything is non-blocking — dispatch the question, persist it, continue other work or end the turn. Answers are reconciled on session resume.
Optional Add-ons（可选项，不用不启动）
- 红蓝对抗评审（skill
red-blue-review） — after a complex requirement's summary.md is delivered, the human may opt into an adversarial review: a blue army in an INDEPENDENT session audits the artifacts against R1-R9 and writes findings. PASS is one of only two legitimate paths tostatus: approved(the other is a direct human decision). Never run it uninvited; never run it in the red army's session. - 钉钉群共识通道（姊妹篇 intent-gate-service MCP 服务） — intent questions whose rightful
answerer sits in a DingTalk group (📋 business / 🔧 technical) can be dispatched
there via intent-gate-service's
group_dispatchtool; blocking human-decision gates (ask_human) also live there. If the intent-gate-service MCP is not mounted, this project simply uses the dialog fallback — do not treat its absence as an error.
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.
- 28d ago Changed · +7 lines c65131e9c220
- 1mo ago First seen · 100 lines · 67 tokens per session scan A 6126f4f2bf60
using-intent-gate is a skill published in the GitHub repository baixinghao/intent-gate (3 stars, last pushed 4d ago), licensed MIT. It adds 67 tokens to every session and 1,480 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
build-teaql-app
Build or change a TeaQL application in Java, Rust, Go, Swift, Python, C#/.NET, or TypeScript, including Kotlin/JVM applications that consume Java-generated libraries. Mandatory order: first draft and save a complete KSML model, then verify the client and evaluate that saved model, repair it through repeated evaluation…
video-perception
Use when the user mentions a video file (.mp4, .mov, .avi, .mkv, .webm), a YouTube URL, asks to watch/analyze/review a video, or references video content in conversation.
sanity-singletons
Configure singleton documents in a Sanity Studio using the document.singletons registry. Use when a developer wants a fixed-id document (settings, navigation, footer) edited in place, hidden from the default content list, with no "create new" or "duplicate" affordances — or when migrating a userland singleton…
sanity-best-practices
Sanity development best practices for schema design, GROQ queries, TypeGen, Visual Editing, images, Portable Text, Studio structure, localization, migrations, Sanity Functions, webhooks, Blueprints, and framework integrations such as Next.js, Nuxt, Astro, Remix, SvelteKit, Angular, Hydrogen, the App SDK, and Studios…
seo-aeo-best-practices
SEO and AEO best practices for metadata, Open Graph, sitemaps, robots.txt, hreflang, JSON-LD structured data, EEAT, and content optimized for search engines and AI answer surfaces. Use this skill when implementing page SEO, technical SEO, schema markup, international SEO, AI-overview readiness, or improving content…
raindrop-mcp
Connect Raindrop.io to your AI assistant with a simple MCP server. Use it to organize, search, and manage bookmarks with natural language.