Borrowing it
Nothing to install: this file belongs to vpeetla-ai/react-agent-pattern. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/vpeetla-ai/react-agent-pattern/main/.cursor/skills/governed-ai-stack/SKILL.mdgit clone --depth 1 https://github.com/vpeetla-ai/react-agent-patternWrote 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/vpeetla-ai/react-agent-pattern/governed-ai-stack)<a href="https://agentmods.dev/skills/vpeetla-ai/react-agent-pattern/governed-ai-stack"><img src="https://agentmods.dev/badge/skills/vpeetla-ai/react-agent-pattern/governed-ai-stack/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/vpeetla-ai/react-agent-pattern/governed-ai-stack"><img src="https://agentmods.dev/badge/skills/vpeetla-ai/react-agent-pattern/governed-ai-stack.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 | $0.00059 | $0.00361 |
| Opus 5.5 | $0.00024 | $0.00144 |
| Sonnet 5.5 | $0.00012 | $0.00072 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
governed-ai-stack 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 2mo 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.
This is a copy
100% identical to governed-ai-stack — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Governed AI Stack
Read CONTEXT.md for terms.
Layer routing
| If the task is about… | Work in… |
|---|---|
| Multi-agent orchestration, RAG strategies, notify | venkat-ai-platform |
| Policy, HITL, audit, tool authorization | aegisai-enterprise-agent-platform |
| Retrieval, citations, access control | enterprise_rag_platform |
| Missions, traces, eval gates, FinOps | aegisloop-agentops-workbench |
| Content pipeline, publish, cron | ai-content-factory |
| Self-improving loops, repo fix, RAG tuning | loop-engine-agent-platform |
| ADRs, case studies, portfolio copy | ai-architecture-portfolio |
| Public site, ecosystem wiring | venkat-ai-portfolio |
| Single pattern reference (ReAct, etc.) | *-agent-pattern repos |
Integration rules
- VAP delegates side effects; AegisAI authorizes them
- Enterprise RAG feeds VAP strategies; does not replace gateway
- LoopForge improves configs/prompts; does not replace orchestration
Essay
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.
- 2mo ago First seen · 36 lines · 59 tokens per session scan A dc2a3c45a521
governed-ai-stack is a skill published in the GitHub repository vpeetla-ai/react-agent-pattern (2 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 361 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to governed-ai-stack, differing in 0 lines, and is treated as a copy.
governed-ai-stack compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| governed-ai-stackvpeetla-ai/react-agent-pattern | Skill | 2 | 2mo ago | MIT | A | 59 | Cursor |
| cuml-machine-learninglangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 43 | Claude Code, Codex |
| langchainznlgis/opengis-skills | Skill | 76 | 10d ago | MIT | A | 93 | Claude Code, Codex |
| ontology-refresh-governanceRichmondAlake/agent_harness_course | Skill | 37 | 1mo ago | none | A | 33 | Claude Code, Codex |
| pytorch-patternsaffaan-m/ECC | Skill | 298k | 4d ago | MIT | A | 32 | Claude Code, Kiro |
| rememberlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 71 | Claude Code, Codex |
| deepagents-thread-inspectorlangchain-ai/deepagents | Skill | 31k | yesterday | MIT | A | 93 | Claude Code, Codex |