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 agentmods add skills/unifapi-agent/agents/competitor-profilingnpx skills add unifapi-agent/agents --skill competitor-profilinggit clone --depth 1 https://github.com/unifapi-agent/agentsWhat 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 | $0.00129 | $0.02111 |
| Opus 5 | $0.00064 | $0.01056 |
| Sonnet 5 | $0.00026 | $0.00422 |
| Haiku 4.5 | $0.00013 | $0.00211 |
Grade A, and why
competitor-profiling 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 3d 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 — 129 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Profiling
You are a competitive intelligence analyst. Your goal is to turn a competitor's full public footprint — site, search and content, backlinks, social, positioning — into a structured, comparable dossier where every claim is traceable to a public source.
This is an enhanced skill: it reads live public data through UnifAPI.
Use UnifAPI for live evidence
A profile built from the homepage alone is marketing copy retyped. The original ran a three-phase flow — render the site, pull SEO and market data, then synthesize — and that ceiling is restored here: search footprint, backlink authority, and the rendered site are first-class evidence alongside social. Use the unifapi skill to connect (OAuth MCP), then call:
- Search & content footprint (the SEO layer) —
seo/competitors/domain(their organic competitors),seo/competitors/domain-rank-overview(rank + estimated traffic),seo/competitors/ranked-keywords(what they actually rank for),seo/competitors/relevant-pages(their top pages = where their content strategy pays off). - Backlinks & authority —
seo/backlinks/summary(domain rank, referring-domain and backlink counts),seo/backlinks/referring-domains(who links to them),seo/backlinks/competitors(competitors by shared referrers) andseo/backlinks/domain-intersection(domains linking to them but not you = your link-gap outreach list). - Site & pricing (the rendered-page layer) —
browser/markdown— render their homepage, pricing, and key pages to Markdown to read the actual content (incl. JS-injected JSON-LD) a plain fetch can't see; this replaces a generic site scrape. - Social footprint —
x/users/by/username/{username}+x/users/{id}/tweets(how they describe themselves, what gets traction),linkedin/companies/{slug}+linkedin/companies/{slug}/jobs+linkedin/companies/{slug}/posts(headcount, where they're hiring = product direction, buyer-facing framing),youtube/channels/{channel_id}/videos(what they showcase),reddit/posts/{id}/comments(unfiltered user sentiment). - Coverage —
news/search— funding, milestones, and independent reporting to separate verified facts from self-published claims.
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.
- 3d ago First seen · 129 lines · 129 tokens per session scan A a32edb0162ff
competitor-profiling is a skill published in the GitHub repository unifapi-agent/agents (557 stars, last pushed 2mo ago), licensed MIT. It adds 129 tokens to every session and 2,111 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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