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.
npx skills add jmagly/aiwg --skill civic-newsroom-plangit clone --depth 1 https://github.com/jmagly/aiwgWrote 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.
[](https://agentmods.dev/skills/jmagly/aiwg/civic-newsroom-plan)<a href="https://agentmods.dev/skills/jmagly/aiwg/civic-newsroom-plan"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/civic-newsroom-plan/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.
<a href="https://agentmods.dev/skills/jmagly/aiwg/civic-newsroom-plan"><img src="https://agentmods.dev/badge/skills/jmagly/aiwg/civic-newsroom-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.00264 |
| Opus 5.5 | $0.00012 | $0.00106 |
| Sonnet 5.5 | $0.00006 | $0.00053 |
| Haiku 4.5 | $0.00003 | $0.00026 |
Grade A, and why
civic-newsroom-plan 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 1mo 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.
What it actually says
Civic Newsroom Plan
Process
- Define the public-interest question, audience, jurisdiction, risk tier, and prohibited uses.
- Inventory sources and create source/retrieval records; do not acquire before the source gate passes.
- Map material claims to selectors and epistemic states.
- Plan accessibility, privacy minimization, response, correction, retention, and named reviewer responsibilities.
- Use
flows/civic-newsroom.yaml; stop at its publication gate.
Output
Return an artifact plan, dependency readiness table, open questions, and human decisions. Missing optional frameworks are explicit degraded states.
References
rules/RULES-INDEX.mddocs/research/aiwg-design-patterns.mddocs/research/control-source-matrix.md- research-complete
citation-guard; media-marketing-kitapproval-workflow
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.
- 1mo ago First seen · 36 lines · 29 tokens per session scan A fcc07a6da9e8
civic-newsroom-plan is a skill published in the GitHub repository jmagly/aiwg (226 stars, last pushed yesterday), licensed MIT. It adds 29 tokens to every session and 264 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-05.
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