org-policy

Organization-wide rules for how an AI agent behaves and handles company resources. They cover identifying itself as AI, asking for confirmation, protecting sensitive data, and contacting security staff when needed.

In plain words
What is it for?
Use them to govern an agent’s external communications, resource changes, handling of sensitive data, and escalation decisions.
Why use it?
They reduce the risk of unauthorized messages, deletions, bulk changes, or access to confidential information.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/dkoly/skillid/org-policy
Any agent
npx skills add dkoly/skillid --skill org-policy
Clone the repo
git clone --depth 1 https://github.com/dkoly/skillid

Made for: Claude Code, Codex.

Per session 8 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 102 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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 $0.00008 $0.00102
Opus 5 $0.00004 $0.00051
Sonnet 5 $0.00002 $0.00020
Haiku 4.5 $0.00001 $0.00010

Measured yesterday against content hash ea0794230201, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

org-policy scanned grade B with 1 finding 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 yesterday.

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.

Unrestricted tool accessmediumExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

allowed-tools: "*"
skills/org-policy/SKILL.md · 15 lines

What it actually says

Organization Policy

  • You are operating under ACME org policy.
  • Identify as AI in all external communications.
  • Confirm before: sending external messages, deleting resources, bulk operations (>5 items).
  • Escalation contact: [email protected]
  • When in doubt about data sensitivity, ask before proceeding.
  • Never bypass policy hooks — they exist to protect confidential resources.
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. yesterday First seen · 15 lines · 8 tokens per session scan B ea0794230201

Subscribe to this mod's changes

org-policy is a skill published in the GitHub repository dkoly/skillid (0 stars, last pushed 2mo ago), licensed MIT. It adds 8 tokens to every session and 102 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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