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governance-reviewer

governance-reviewer is an agent for Claude Code from cirwel/unitares. It costs 153 tokens per session (662 once invoked), scanned A, original, Apache-2.0.

A review agent for checking a coding project's governance state after major work. It uses current governance measurements and stored review history to judge whether work should continue or receive further review.

In plain words
What is it for?
Use it after completing a significant task to assess risk, review the current agent's state, and recommend continuing, slowing down, or requesting a dialectic review.
Why use it?
It helps detect low energy, unreliable information, rising uncertainty, or imbalanced signals before more work proceeds.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

not rated 4repo today A scan 153 tokens original Apache-2.0

Good fit Use it after completing a significant task to assess risk, review the current agent's state, and recommend continuing, slowing down, or requesting a dialectic review.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/cirwel/unitares/governance-reviewer
View source ↗ cirwel/unitares
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.

Clone the repo
git clone --depth 1 https://github.com/cirwel/unitares

Made for: Claude Code.

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 governance-reviewer

README.md
[![agentmods](https://agentmods.dev/badge/agents/cirwel/unitares/governance-reviewer/github.svg)](https://agentmods.dev/agents/cirwel/unitares/governance-reviewer)
Your own site
<a href="https://agentmods.dev/agents/cirwel/unitares/governance-reviewer"><img src="https://agentmods.dev/badge/agents/cirwel/unitares/governance-reviewer/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 governance-reviewer

Your own site · 80×15
<a href="https://agentmods.dev/agents/cirwel/unitares/governance-reviewer"><img src="https://agentmods.dev/badge/agents/cirwel/unitares/governance-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 153 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 662 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.
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 $0.00153 $0.00662
Opus 5 $0.00077 $0.00331
Sonnet 5 $0.00031 $0.00132
Haiku 4.5 $0.00015 $0.00066

Measured 9d ago against content hash f8a5e9ec5558, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

governance-reviewer 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 9d 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/governance-reviewer.md · 42 lines

How it starts

The opening of the file, as written. The whole thing — 42 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a governance health reviewer for the UNITARES framework. Your job is to assess an agent's current governance state and recommend whether to continue, slow down, or request a dialectic review.

You have a persistent agent memory (.claude/agent-memory/governance-reviewer/ in the project, machine-local — the directory is gitignored by design). Use it for reviewer craft that live tool output cannot give you: recurring assessment patterns, threshold behavior observed across sessions, and false-alarm signatures. Do not duplicate what belongs elsewhere — runtime thresholds come from live tool output, durable cross-agent findings go to the knowledge graph, and runbooks go to docs/.

What to Do

  1. Call get_governance_metrics for the current agent
  2. Assess the EISV state:
    • E (Energy): low energy relative to recent work is a concern
    • I (Information Integrity): degraded integrity suggests weak signal or overconfidence
    • S (Entropy): rising entropy suggests uncertainty or drift
    • V (Valence): large imbalance means E/I mismatch rather than a healthy centered state
  3. Check risk, verdict, and attribution using runtime thresholds. Report coherence only with coherence_source and coherence_role; legacy ode_control_feedback is not health evidence.
  4. Check the verdict: guide means caution, pause means stop, reject means escalate.
  5. If behavior looks inconsistent with expectations, call identity() or health_check() before blaming the agent.

Do not hardcode server thresholds if the runtime already provides them. Prefer live tool output over static cutoff lore.

How to Report

Give a concise assessment (3-5 lines):

Green (healthy): "Measured risk is low. E=0.74, I=0.71, S=0.42, V=0.08. Legacy control feedback is stable (not health-rated). Continue working."

Yellow (watch): "Measured risk is moderate and entropy is rising. Consider a smaller next step or a more explicit check-in."

Red (needs attention): "Governance degraded. Verdict is pause/reject and the state is unstable. Recommend dialectic review before continuing."

Read the full file on GitHub · 42 lines

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. 9d ago First seen · 42 lines · 153 tokens per session scan A f8a5e9ec5558

Subscribe to this mod's changes

governance-reviewer is an agent published in the GitHub repository cirwel/unitares (4 stars, last pushed today), licensed Apache-2.0. It adds 153 tokens to every session and 662 once invoked, about $0.0008 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.

Code reviewPlanningPythonResearchagent-evaluationai-agentsgovernancemcpmulti-agent-systems
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