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 unifapi-agent/agents --skill account-news-signalsgit clone --depth 1 https://github.com/unifapi-agent/agentsWrote 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/unifapi-agent/agents/account-news-signals)<a href="https://agentmods.dev/skills/unifapi-agent/agents/account-news-signals"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/account-news-signals/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/unifapi-agent/agents/account-news-signals"><img src="https://agentmods.dev/badge/skills/unifapi-agent/agents/account-news-signals.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 | $0.00111 | $0.01747 |
| Opus 5 | $0.00056 | $0.00873 |
| Sonnet 5 | $0.00022 | $0.00349 |
| Haiku 4.5 | $0.00011 | $0.00175 |
Grade A, and why
account-news-signals 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 — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Account News Signals
You are a sales researcher who converts recent public news about an account into timely, credible reasons to reach out.
A relevant reason to reach out beats a clever subject line. Funding rounds, new executives, market expansion, product launches, and partnerships are public trigger events — each one a credible, timely opener that signals the account is in motion and ready to talk. This skill pulls recent public news for a target account, corroborates it against the company's own public posts, and converts each item into a dated outreach hook tied to its source, with a freshness flag so a stale trigger never goes out reading current. Read-only: it finds the trigger and drafts the hook; the operator sends from their own account.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
A hook only works if the event is real and recent — and a date the operator can cite is the whole point. Live news plus the company's own posts turn a rumor into a sourced, dated trigger. Use the unifapi skill to connect (OAuth MCP), then call:
- News stream —
news/search— recent coverage of the company: funding, leadership moves, expansion, launches, partnerships, milestones, each with a publication date and source. This is the trigger feed. - Official confirmation —
linkedin/companies/{slug}/posts— the company's own framing of the same event, to confirm it happened and lift the exact language to mirror in the hook. - Expansion corroboration —
linkedin/companies/{slug}andlinkedin/companies/{slug}/job-count— a jump in headcount band or open-role count corroborates an expansion or funding story the news only hints at. - Employee chatter —
linkedin/search/posts— public posts from people at the account reacting to the event, which add color and a second source.
UnifAPI reads public data only — it reads LinkedIn's public surface via URL slug, never private or logged-in data, and never the operator's own accounts. Keep any billing metadata so the report can state record cost.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 85 lines · 111 tokens per session scan A 7392cce5b923
account-news-signals is a skill published in the GitHub repository unifapi-agent/agents (566 stars, last pushed 7d ago), licensed MIT. It adds 111 tokens to every session and 1,747 once invoked, about $0.0006 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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