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agent-governance-lord

agent-governance-lord is a skill for Claude Code, Codex from m3taz-ahmed/ai-globals. It costs 49 tokens per session (1,528 once invoked), scanned A, original, MIT.

A control and review layer for AI coding agents that checks their requests, tool calls, responses, and generated code.

In plain words
What is it for?
Use it to route model and tool traffic through guardrails, allow or block agents and tools, redact secrets, detect prompt injection, and inspect generated code for destructive or insecure behavior.
Why use it?
It limits which agents can run, catches sensitive data and unsafe actions, and records decisions before an agent can affect the real world.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 5repo changed 6d ago A scan 49 tokens original MIT

Good fit Use it to route model and tool traffic through guardrails, allow or block agents and tools, redact secrets, detect prompt injection, and inspect generated code for destructive or insecure behavior.

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Install with agentmods
npx agentmods add skills/m3taz-ahmed/ai-globals/agent-governance-lord
View source ↗ m3taz-ahmed/ai-globals
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 m3taz-ahmed/ai-globals --skill agent-governance-lord
Clone the repo
git clone --depth 1 https://github.com/m3taz-ahmed/ai-globals

Made for: Claude Code, Codex.

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 agent-governance-lord

README.md
[![agentmods](https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/agent-governance-lord/github.svg)](https://agentmods.dev/skills/m3taz-ahmed/ai-globals/agent-governance-lord)
Your own site
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/agent-governance-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/agent-governance-lord/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 agent-governance-lord

Your own site · 80×15
<a href="https://agentmods.dev/skills/m3taz-ahmed/ai-globals/agent-governance-lord"><img src="https://agentmods.dev/badge/skills/m3taz-ahmed/ai-globals/agent-governance-lord.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,528 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 $0.00049 $0.01528
Opus 5 $0.00024 $0.00764
Sonnet 5 $0.00010 $0.00306
Haiku 4.5 $0.00005 $0.00153

Measured 6d ago against content hash f54db7e0ecfa, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

agent-governance-lord 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 6d 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.

skills/agent-governance-lord/SKILL.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Governance Lord

[OBJ] Runtime governance for AI coding agents: intercept, allowlist, and audit every agent action.

Problem

AI agents can write, push, and deploy without human review at each step. Access control answers "can the agent do this?" — governance answers "should the agent do this?" Permission is necessary; it is not sufficient. An agent can be fully permitted and still wrong.

Rules

  1. [REQ] Gateway on the path. Every LLM request and MCP tool call MUST pass through runtime/agent_gateway.py (pre-LLM + post-execution guardrails). No bypass.
  2. [REQ] Three verdicts. Guardrails emit ALLOW / REDACT / BLOCK. Most severe wins (BLOCK > REDACT > ALLOW). Never silently drop a BLOCK.
  3. [REQ] Pre-LLM guardrails. Inspect outbound prompt + tool payloads BEFORE the model sees them. Catch: secret leakage, prompt injection in tool responses fed back, forbidden tool calls.
  4. [REQ] Post-execution guardrails. Inspect inbound response + generated code BEFORE the developer sees it. Catch: destructive commands, insecure patterns, hallucinated APIs.
  5. [REQ] Agent allowlist. Only agents registered in runtime/agent_catalog.py with status == ALLOWED may run. Unknown agent = BLOCK + alert.
  6. [REQ] Flow allowlist. Each agent has an allowed_flows list. A flow not in the list = BLOCK. No blanket flow access.
  7. [REQ] Model allowlist. Each agent has an allowed_models list. A model not in the list = BLOCK. Prevents unauthorized model escalation.
  8. [REQ] MCP-as-securable. MCP servers registered in runtime/mcp_securable.py as governed assets. Access via GRANT policies (USE/ADMIN/REGISTER). No ungoverned MCP server.
  9. [REQ] Composite identity. Every agent action attributed to BOTH agent + human principal (runtime/composite_identity.py). No anonymous agent actions.
  10. [REQ] Audit every verdict. Every ALLOW/REDACT/BLOCK logged with agent_id, user_id, tool, reason. Tamper-evident via existing audit chain.
  11. [REQ] Rate limiting. Per-agent rate limits enforced at the gateway. Burst > threshold = BLOCK + cooldown.
  12. [REQ] Cost attribution. Per-agent cost tracked via runtime/cost_attribution.py. Anomaly (spike/budget breach) = alert + optional throttle.
  13. [REQ] Plan validation. Before edits, validate the agent's plan via runtime/plan_diff_validator.py. Forbidden paths = BLOCK. File count > max = WARN.
  14. [REQ] Diff validation. After edits, validate the git diff. Undeclared imports = WARN. Test gap = WARN. Unrelated refactor = WARN.
  15. [REQ] Supply-chain guard. New imports not in lockfile = WARN. External package not declared = BLOCK in strict mode.
  16. [REQ] Human-in-the-loop. Irreversible/destructive actions (rm, drop, force-push, deploy to prod) require explicit human approval. Gateway holds the action pending approval.
  17. [REQ] Rollback path. Every agent action that modifies state must have a documented rollback. No rollback = BLOCK.
  18. [PROHIBIT] Bypassing the gateway for "trusted" agents. All agents pass through.
  19. [PROHIBIT] Allowing an agent to call an ungoverned MCP server.
  20. [PROHIBIT] Executing a destructive action without composite identity attribution + human approval.
  21. [REQ] SARC enforcement sites. Implement 4 enforcement sites: Pre-Action Gate (block injection/PII/policy violations before LLM call), Action-Time Monitor (rate/cost/budget enforcement, circuit breakers), Post-Action Auditor (log, evaluate, score for reliability@k), Escalation Router (human approval, kill-switch, incident creation).
  22. [REQ] Agent SRE Governance v1.0. Implement SLOs, error budgets, circuit breakers, chaos engineering, trace replay, Ed25519 artifact signing, SBOMs, and OpenTelemetry for all agent deployments. Reference: Microsoft Agent Governance Toolkit.
  23. [REQ] Microsoft Agent Hooks. Support framework-neutral governance contracts — "deny means deny" enforceable across LangChain, CrewAI, OpenAI Agents SDK, etc.
  24. [REQ] MCP 2026-07-28 stateless governance. Update gateway for stateless MCP protocol. No session state assumptions. Per-request protocolVersion validation. Header-based routing (Mcp-Method, Mcp-Name).
  25. [REQ] Per-PR spend limits. Implement per-PR spend caps (soft block) and org-level ACU visibility. Devin enterprise pattern.
  26. [REQ] Enterprise MCP server allowlist. Maintain allowlist of approved MCP servers. Block ungoverned servers. Enterprise plugin governance (required/optional/forbidden plugins).
  27. [REQ] 5-layer control plane. Gateway Layer (auth, rate limiting, cost tracking) → Policy Layer (4-level hierarchy, fail-closed) → Observability Layer (tamper-evident audit) → Governance Layer (approvals, kill-switch, RBAC) → Integration Layer (A2A, MCP, REST, webhooks).
  28. [PROHIBIT] Deploying agents without SARC 4-site enforcement and Agent SRE Governance compliance.

Read the full file on GitHub · 83 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. 6d ago Changed · +8 lines f54db7e0ecfa
  2. 12d ago First seen · 75 lines · 49 tokens per session scan A d98e5cecbe5a

Subscribe to this mod's changes

agent-governance-lord is a skill published in the GitHub repository m3taz-ahmed/ai-globals (5 stars, last pushed yesterday), licensed MIT. It adds 49 tokens to every session and 1,528 once invoked, about $0.0002 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.

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