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 icp-evidence-analysisgit 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/icp-evidence-analysis)<a href="https://agentmods.dev/skills/elvisun/newsjack/icp-evidence-analysis"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/icp-evidence-analysis/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/icp-evidence-analysis"><img src="https://agentmods.dev/badge/skills/elvisun/newsjack/icp-evidence-analysis.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 | $0.00076 | $0.01163 |
| Opus 5 | $0.00038 | $0.00581 |
| Sonnet 5 | $0.00015 | $0.00233 |
| Haiku 4.5 | $0.00008 | $0.00116 |
Grade A, and why
icp-evidence-analysis 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 13d 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ICP Evidence Analysis
Build hypotheses from evidence. Do not write persona fiction.
This skill inherits the ethical floor from skills/ETHICS.md. It enforces anti-hallucination and permission checks. Anti-spray and human-send are not applicable because this skill produces research artifacts, not outreach.
Inputs
Accept any combination of:
- a company URL and user-supplied description;
source_manifest.json;- public product, pricing, integration, security, support, certification, filing, review, or coverage pages;
- an existing Newsjack monitor profile as unverified leads;
- target markets, exclusions, permitted-data rules, or fact-check results.
If only a URL and description are supplied, research enough independent public evidence to test the website's claims. Never treat a target's own positioning as buyer behavior.
Build the evidence perimeter
For every material claim, retain:
- source ID, canonical URL or authorized file;
- title/publisher, access or publication date, and source type;
- exact span or a faithful short paraphrase;
- whether it is
company_asserted,buyer_behavior, orindependent; - fact type, confidence, and permission status.
Keep negative and conflicting evidence. Stop if a source is private, unlawfully obtained, outside the user's permission, or contains personal data that is not needed.
Separate:
- products, capabilities, limitations, integrations, proof assets, and geographies;
- declared segments from independently supported demand;
- exact brand, product, domain, people, slogan, proprietary-category, campaign, and flattering-claim terms for the later contamination register;
- competitors named by evidence from alternatives merely guessed by the model.
Classify by publisher provenance, not by the claim's tone. A target-authored postmortem, benchmark, customer story, or technical article remains company_asserted; split it from any third-party analysis instead of blending both into one independent record.
Use fact-check when a material external claim lacks primary or independent support.
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.
- 13d ago First seen · 123 lines · 76 tokens per session scan A 930ee757dc8e
icp-evidence-analysis is a skill published in the GitHub repository elvisun/newsjack (667 stars, last pushed 10d ago), licensed MIT. It adds 76 tokens to every session and 1,163 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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