usage-policy-writer

usage-policy-writer is a skill for Claude Code from synaptiai/synapti-marketplace. It costs 221 tokens per session (4,023 once invoked), scanned B, original, Apache-2.0.

A tool for writing an AI-use policy for people, including approved tools, data categories, risks, and how to request exceptions. It explains the reasons behind the rules rather than listing commands alone.

In plain words
What is it for?
Use it to define which AI tools people may use, what kinds of information they may provide, what risks apply, and how exceptions are handled.
Why use it?
People may work around vague or unexplained AI rules, especially when they do not know which data is safe to use. This gives them practical guidance and a way to handle unusual cases.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: agent in frontmatter; names the AskUserQuestion tool; mentions Claude Code.

Part of the ai-first-org-design-kit plugin — 15 skills shipped together

Good fit Use it to define which AI tools people may use, what kinds of information they may provide, what risks apply, and how exceptions are handled.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/synaptiai/synapti-marketplace/usage-policy-writer
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 synaptiai/synapti-marketplace --skill usage-policy-writer
Clone the repo
git clone --depth 1 https://github.com/synaptiai/synapti-marketplace

Made for: Claude Code.

Or install ai-first-org-design-kit, the plugin that ships this one along with the rest of its 15 skills.

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 usage-policy-writer

README.md
[![agentmods](https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/usage-policy-writer/github.svg)](https://agentmods.dev/skills/synaptiai/synapti-marketplace/usage-policy-writer)
Your own site
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/usage-policy-writer"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/usage-policy-writer/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 usage-policy-writer

Your own site · 80×15
<a href="https://agentmods.dev/skills/synaptiai/synapti-marketplace/usage-policy-writer"><img src="https://agentmods.dev/badge/skills/synaptiai/synapti-marketplace/usage-policy-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 221 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,023 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. 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 $0.00221 $0.04023
Opus 5 $0.00111 $0.02011
Sonnet 5 $0.00044 $0.00805
Haiku 4.5 $0.00022 $0.00402

Measured 11d ago against content hash 23cb84fcf7c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

usage-policy-writer 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 11d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

chmod 700 "$HOME/.ai-first-kit" "$HOME/.ai-first-kit/projects" "$HOME/.ai-first-kit/projects/$SLUG" "$HOME/.ai-first-kit/projects/$SLUG/governance" 2>/dev/null
plugins/ai-first-org-design-kit/skills/usage-policy-writer/SKILL.md · 350 lines

How it starts

The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Usage Policy Writer

You are an AI Policy Architect — you write human-facing policies that explain the "what" AND the "why." Not agent rules (HARD-BOUNDARIES.md does that). Human rules with reasoning. People follow policies they understand.

The core insight: "No X" is a command. "No X because Y, and here's how to request an exception" is a policy. Commands get followed reluctantly. Policies get followed because people understand the risk.

Read ../../shared/concepts.md for Organizational Genome Structure before proceeding.

Work through these steps in order, announcing each step as you begin it:

Persona

  • Explanatory. Every rule has a reason. The risk model behind each decision is as important as the decision itself.
  • Risk-model-aware. Classify risks, not just prohibitions. Help people understand WHEN a rule applies so they can apply judgment in novel situations.
  • Exception-first. A policy without an exception process gets worked around. Design the escape valve — it reduces violations, not increases them.
  • Practical. "Approved tools" means specific names, specific contexts, specific data types. No vague guidance like "use AI responsibly."

Pre-Flight

# Derive stable project slug from git repo root (not leaf dir, to prevent cross-repo collisions)
REPO_ROOT=$(git rev-parse --show-toplevel 2>/dev/null)
if [ -n "$REPO_ROOT" ]; then
  SLUG=$(basename "$REPO_ROOT" | tr '[:upper:]' '[:lower:]' | tr ' ' '-' | head -c 40)
else
  SLUG=$(echo "${PWD##*/}" | tr '[:upper:]' '[:lower:]' | tr ' ' '-' | head -c 40)
fi
[ -z "$SLUG" ] && SLUG="default"
mkdir -p "$HOME/.ai-first-kit/projects/$SLUG/governance"
chmod 700 "$HOME/.ai-first-kit" "$HOME/.ai-first-kit/projects" "$HOME/.ai-first-kit/projects/$SLUG" "$HOME/.ai-first-kit/projects/$SLUG/governance" 2>/dev/null
echo "Project: $SLUG"

# Check artifacts
BOUNDARIES=$(ls "$HOME/.ai-first-kit/projects/$SLUG/governance/HARD-BOUNDARIES.md" 2>/dev/null)
VOICE=$(ls "$HOME/.ai-first-kit/projects/$SLUG/genome/00-identity/VOICE.md" 2>/dev/null)
VALUES=$(ls "$HOME/.ai-first-kit/projects/$SLUG/genome/00-identity/VALUES.md" 2>/dev/null)
EXISTING_POLICY=$(ls "$HOME/.ai-first-kit/projects/$SLUG/governance/HUMAN-USAGE-POLICY.md" 2>/dev/null)

[ -n "$BOUNDARIES" ] && echo "HARD BOUNDARIES: found" || echo "HARD BOUNDARIES: missing"
[ -n "$VOICE" ] && echo "VOICE: found" || echo "VOICE: missing"
[ -n "$VALUES" ] && echo "VALUES: found" || echo "VALUES: missing"
[ -n "$EXISTING_POLICY" ] && echo "EXISTING USAGE POLICY: found (will update)" || echo "EXISTING USAGE POLICY: none (will create)"

Read the full file on GitHub · 350 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. 11d ago First seen · 350 lines · 221 tokens per session scan B 23cb84fcf7c3

Subscribe to this mod's changes

usage-policy-writer is a skill published in the GitHub repository synaptiai/synapti-marketplace (6 stars, last pushed today), licensed Apache-2.0. It adds 221 tokens to every session and 4,023 once invoked, about $0.0011 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.