newsroom-ai-policy

newsroom-ai-policy is a skill for Claude Code from ur-grue/autopunk-media-skills. It costs 40 tokens per session (10,009 once invoked), scanned A, original, MIT.

A tailored policy document explaining how a newsroom may use artificial intelligence, where it is prohibited, when use must be disclosed, and who is responsible for review.

In plain words
What is it for?
Use it to create or revise newsroom guidance covering permitted tasks, banned uses, disclosure, training, accountability, and policy reviews.
Why use it?
It gives reporters and editors specific rules and quality checks instead of leaving AI use to informal judgment.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the autopunk-media-skills plugin — 187 skills shipped together

Good fit Use it to create or revise newsroom guidance covering permitted tasks, banned uses, disclosure, training, accountability, and policy reviews.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ur-grue/autopunk-media-skills/newsroom-ai-policy
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 ur-grue/autopunk-media-skills --skill newsroom-ai-policy
Clone the repo
git clone --depth 1 https://github.com/ur-grue/autopunk-media-skills

Made for: Claude Code.

Or install autopunk-media-skills, the plugin that ships this one along with the rest of its 187 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 newsroom-ai-policy

README.md
[![agentmods](https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/newsroom-ai-policy/github.svg)](https://agentmods.dev/skills/ur-grue/autopunk-media-skills/newsroom-ai-policy)
Your own site
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/newsroom-ai-policy"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/newsroom-ai-policy/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 newsroom-ai-policy

Your own site · 80×15
<a href="https://agentmods.dev/skills/ur-grue/autopunk-media-skills/newsroom-ai-policy"><img src="https://agentmods.dev/badge/skills/ur-grue/autopunk-media-skills/newsroom-ai-policy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 10,009 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 warn 7 Sept 2026
SkillSpector: 2 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Excessive Agency · line 199
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Excessive Agency · line 447
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 $0.00040 $0.10009
Opus 5 $0.00020 $0.05005
Sonnet 5 $0.00008 $0.02002
Haiku 4.5 $0.00004 $0.01001

Measured 8d ago against content hash 2ebe0ce938c0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

newsroom-ai-policy 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 8d 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/magazine-journalism/editing/newsroom-ai-policy/SKILL.md · 520 lines

How it starts

The opening of the file, as written. The whole thing — 520 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Newsroom AI Policy

What This Skill Does

Generates a complete, publication-ready AI usage policy document tailored to the newsroom's specific context — covering permitted uses, prohibited uses, disclosure requirements, quality gates, training, accountability, and review cadence.

When To Use This Skill

  • Your newsroom has no AI policy and reporters are already experimenting with AI tools — you need clear rules before ad hoc habits calcify into unwritten norms
  • Your existing AI policy is a one-paragraph statement ("use AI responsibly") and you need specific, enforceable guidance that reporters can actually follow
  • You're launching a new publication or digital desk and want AI rules baked in from day one
  • Your editor-in-chief or legal team has asked for a formal policy document they can circulate to all staff and freelancers
  • You've had an incident — a factual error traced to AI-generated text, a source who discovered AI was used to process their interview, a reader who noticed AI-sounding prose in a bylined column — and you need a policy response fast
  • You manage a publication that relies on freelancers and contributors, and you need a policy that extends to people who are not on staff but publish under your masthead
  • Your newsroom is part of a larger media group and you need a local policy that fits within corporate guidelines but addresses your specific editorial context
  • A journalism school, press association, or industry group has asked you to draft a model AI policy that others can adapt

What You Need To Provide

Required: A description of the newsroom — size (number of editorial staff), beats covered, publication type (daily newspaper, weekly magazine, digital-only, broadcast, etc.), and the editorial values or principles the publication already follows (even informally).

Optional inputs that improve the output:

  • Specific AI tools already in use or under consideration (Claude, ChatGPT, Gemini, Otter.ai, Descript, Midjourney, etc.)
  • Any incidents or concerns that motivated the policy request — the more specific, the more targeted the policy
  • The newsroom's stance on transparency with readers (do you have a public trust statement, a reader advisory board, a corrections policy?)
  • Existing style guide or ethics code to align with (SPJ Code of Ethics, AP style, internal house rules)
  • Whether the policy needs to address freelancers, stringers, contributors, interns, or only full-time staff
  • Any regulatory or union constraints (collective bargaining agreements, GDPR, state privacy laws, industry codes)
  • The name and title of the person who will own the policy
  • Whether the publication uses AI-adjacent tools already (automated CMS tagging, SEO suggestion tools, audience analytics dashboards) and whether those should be in scope
  • The publication's stance on AI-generated images, audio, and video — not just text
  • Whether the newsroom has a formal editorial workflow (story budgets, assignment trackers, CMS with tagging) or works informally

Read the full file on GitHub · 520 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. 8d ago First seen · 520 lines · 40 tokens per session scan A 2ebe0ce938c0

Subscribe to this mod's changes

newsroom-ai-policy is a skill published in the GitHub repository ur-grue/autopunk-media-skills (32 stars, last pushed 12d ago), licensed MIT. It adds 40 tokens to every session and 10,009 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 2026-09-04.

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