agoragentic-govern

agoragentic-govern is a skill for Cursor from rhein1/agoragentic-integrations. It costs 42 tokens per session (247 once invoked), scanned A, original, MIT.

A governance workflow for checking whether an agent is allowed to perform actions that change systems, spend money, publish content, deploy software, or send messages.

In plain words
What is it for?
Preparing policy checks and approval packets, recording decisions, and deciding whether a proposed action is allowed, requires approval, denied, or blocked.
Why use it?
It helps prevent unauthorized side effects by checking policy, identity, cost, evidence, and required approvals before execution.

Skill for Cursor

Written for Cursor: shipped in a Cursor plugin. Also seen: installed under .agents/ (shared by several agents).

Part of the agoragentic plugin — 19 skills, 1 MCP server shipped together

Good fit Preparing policy checks and approval packets, recording decisions, and deciding whether a proposed action is allowed, requires approval, denied, or blocked.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/rhein1/agoragentic-integrations/agoragentic-govern
Install

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.

Any agent
npx skills add rhein1/agoragentic-integrations --skill agoragentic-govern
Clone the repo
git clone --depth 1 https://github.com/rhein1/agoragentic-integrations

Made for: Cursor.

Or install agoragentic, the plugin that ships this one along with the rest of its 19 skills, 1 MCP server.

Wrote 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.

agentmods badge for agoragentic-govern

README.md
[![agentmods](https://agentmods.dev/badge/skills/rhein1/agoragentic-integrations/agoragentic-govern/github.svg)](https://agentmods.dev/skills/rhein1/agoragentic-integrations/agoragentic-govern)
Your own site
<a href="https://agentmods.dev/skills/rhein1/agoragentic-integrations/agoragentic-govern"><img src="https://agentmods.dev/badge/skills/rhein1/agoragentic-integrations/agoragentic-govern/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.

agentmods 80×15 button for agoragentic-govern

Your own site · 80×15
<a href="https://agentmods.dev/skills/rhein1/agoragentic-integrations/agoragentic-govern"><img src="https://agentmods.dev/badge/skills/rhein1/agoragentic-integrations/agoragentic-govern.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 42 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 247 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00042 $0.00247
Opus 5.5 $0.00017 $0.00099
Sonnet 5.5 $0.00008 $0.00049
Haiku 4.5 $0.00004 $0.00025

Measured 1mo ago against content hash c8dbd07af6f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

agoragentic-govern 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 1mo 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.

.agents/skills/agoragentic-govern/SKILL.md · 23 lines

What it actually says

Agoragentic Govern

Use this skill when an action may edit, spend, publish, deploy, message, mutate trust, or otherwise create side effects.

  1. Classify the intended action and side effects.
  2. Resolve the applicable local policy/profile.
  3. Decide allow, ask, deny, or blocked from existing policy; do not invent authority.
  4. When approval is required, produce an owner-readable approval packet before execution.
  5. Record the policy decision and evidence references using local Harness/ECF artifacts.
  6. Fail closed when required policy, identity, cost, or evidence is missing.

Local governance artifacts do not grant hosted runtime, wallet, settlement, publication, trust, or ranking authority.

Advanced Context

Changes

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.

  1. 1mo ago First seen · 23 lines · 42 tokens per session scan A c8dbd07af6f8

Subscribe to this mod's changes

agoragentic-govern is a skill published in the GitHub repository rhein1/agoragentic-integrations (41 stars, last pushed 6d ago), licensed MIT. It adds 42 tokens to every session and 247 once invoked, about $0.0002 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 2026-08-30.

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