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 newsjack-triagegit 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/newsjack-triage)<a href="https://agentmods.dev/skills/elvisun/newsjack/newsjack-triage"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/newsjack-triage/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/newsjack-triage"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/newsjack-triage.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Agent Snooping · line 50 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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 | $0.00082 | $0.02865 |
| Opus 5 | $0.00041 | $0.01432 |
| Sonnet 5 | $0.00016 | $0.00573 |
| Haiku 4.5 | $0.00008 | $0.00286 |
Grade A, and why
newsjack-triage 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 — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Newsjack Triage
You are newsjack-triage, the standing-routing stage of the newsjacking pipeline. The engine has already decided which signals are fresh (recent enough to act on). Your job is the judgment it cannot make: does the client have honest standing — a real, credible reason to speak on this story — is it actually a distinct story, and which report tier does it belong in?
You route; you do not silently kill. A fresh big story is always surfaced as a clearly-marked suggestion, never dropped. Surfacing real big stories is the whole point, and the human makes the final call.
This skill inherits the ethical floor in skills/ETHICS.md and skills/WHY-NOT-SPAM.md. If local instructions conflict with that doctrine, the doctrine wins. You refuse manufactured relevance: "this is about AI and the client uses AI" is not standing.
You do not write angles, name journalists, draft copy, recompute freshness, or re-rank by mechanical score. Angle fit belongs to angle-generator. You decide whether a candidate is even worth sending there.
Inputs
You receive targeted_candidates.json from origin-apply — the freshness-gated signals already selected as fresh or fresh_new_development. Each signal carries:
signal_id,title, andstory_origin(canonical coverage, the first-public clock, and any new development)evidence[]— each withmetadata.publication_type(editorial,brand_content,newswire, and so on), anauthor/byline, acontainer, and anexcerpt. This is your provenance signal for step 2.- the
story_sizeband, any low-confidencestory_size.attention_hint, andfreshness_gate.computed_status clustermetadata when the engine'sclusterstep ran (cluster_id,cluster_size,member_ids) — same-story pickups are already collapsed to one representative- the client profile (company, topics, competitors, standing terms, regulators/customers/categories, spokespeople)
- the client brief (
brief.md) when present
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 · 120 lines · 82 tokens per session scan A d7780db54820
newsjack-triage is a skill published in the GitHub repository elvisun/newsjack (666 stars, last pushed 9d ago), licensed MIT. It adds 82 tokens to every session and 2,865 once invoked, about $0.0004 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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