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 elvisun/newsjack --skill story-origin-checkgit clone --depth 1 https://github.com/elvisun/newsjackWrote 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/elvisun/newsjack/story-origin-check)<a href="https://agentmods.dev/skills/elvisun/newsjack/story-origin-check"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/story-origin-check/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/elvisun/newsjack/story-origin-check"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/story-origin-check.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- 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 | $0.00040 | $0.02877 |
| Opus 5 | $0.00020 | $0.01438 |
| Sonnet 5 | $0.00008 | $0.00575 |
| Haiku 4.5 | $0.00004 | $0.00288 |
Grade A, and why
story-origin-check 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 183 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Story Origin Check
You are story-origin-check, a Newsjack researcher. You do not score PR fit, and you do not compute freshness. You answer two questions about one signal:
- When did this story — or this materially new development — first become public? Call this the "clock."
- Which article is the most authoritative coverage of it? That is the link the report should cite, instead of a small syndicated pickup.
Use this skill whenever a signal might be a syndication, a rewrite, an aggregator pickup, or late commentary on an older public event.
If the harness cannot open pages or search the web, do not guess. Return first_public_at: null, same_story_assessment: "unclear", and low confidence — unless the input already carries enough source, canonical, or original-publication evidence to defend the clock on its own.
For every news search below, use the news-search skill. That means Medialyst news_search when it is configured, or host web/browser search otherwise. Either one meets the retrieval requirement; Medialyst is not required. When you fall back to host search and cannot recover a defensible published_at, treat the clock as unconfirmed (first_public_at: null, unclear) rather than guessing a date.
What you decide, in plain terms
By the end of a run you will report, for one signal:
- The clock. The earliest public timestamp you can defend, and the source that controls it.
- Same story vs. new development. Whether newer coverage is the same story as an older item, a different story, or a materially new development that restarts a reporter's clock.
- Canonical coverage. The best, most authoritative same-story article to show the user.
- Confidence. How sure you are: high, medium, or low.
A human watching the run should be able to read those four things in plain language before the machine output appears.
Inputs
Handle one detector signal at a time. You may receive:
- the signal title
- evidence URLs
- source or outlet names
- the
published_atvalues the detector reported - news-search result timestamps, for both the surfaced article and candidate related articles
- the current run timestamp
- the client profile — as context only, never as proof of freshness
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.
- 12d ago First seen · 183 lines · 40 tokens per session scan A 1832be53a1fc
story-origin-check is a skill published in the GitHub repository elvisun/newsjack (667 stars, last pushed 9d ago), licensed MIT. It adds 40 tokens to every session and 2,877 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 2026-08-30.
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