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 ognjengt/founder-skills --skill competitor-intelgit clone --depth 1 https://github.com/ognjengt/founder-skillsWrote 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/ognjengt/founder-skills/competitor-intel)<a href="https://agentmods.dev/skills/ognjengt/founder-skills/competitor-intel"><img src="https://agentmods.dev/badge/skills/ognjengt/founder-skills/competitor-intel/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/ognjengt/founder-skills/competitor-intel"><img src="https://agentmods.dev/badge/skills/ognjengt/founder-skills/competitor-intel.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 | $0.00045 | $0.02394 |
| Opus 5 | $0.00023 | $0.01197 |
| Sonnet 5 | $0.00009 | $0.00479 |
| Haiku 4.5 | $0.00005 | $0.00239 |
Grade A, and why
competitor-intel 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 10d 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 — 312 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Intel
Purpose
Provide data-backed competitive intelligence by researching real signals across the web—no assumptions, no made-up numbers.
Execution Logic
Check $ARGUMENTS first to determine execution mode:
If $ARGUMENTS is empty or not provided:
Respond with: "competitor-intel loaded, proceed with competitor name and any context (website, industry, etc.)"
Then wait for the user to provide their requirements in the next message.
If $ARGUMENTS contains content:
Proceed immediately to Task Execution (skip the "loaded" message).
Task Execution
When user requirements are available (either from initial $ARGUMENTS or follow-up message):
1. Check for Business Context (Optional)
Check if FOUNDER_CONTEXT.md exists in the project root.
- If it exists: Read it to understand your company's positioning, strengths, and goals—this informs the leverage strategies.
- If it doesn't exist: Proceed with analysis focused purely on competitor weaknesses.
2. Extract Input
From the user's requirements, extract:
- Competitor name (required)
- Competitor website (if provided)
- Industry/vertical (if provided)
- Specific areas of interest (if provided)
3. Research Phase — MANDATORY WEB SEARCH
This skill REQUIRES web search. Do not proceed without searching.
Execute web searches across these sources:
Business Metrics Research
Search for verified data only. Query patterns:
"[Competitor]" revenue OR MRR OR ARR site:crunchbase.com"[Competitor]" funding raised valuation site:crunchbase.com"[Competitor]" employees headcount site:linkedin.com"[Competitor]" revenue growth OR metrics"[Competitor]" pricing customers"[Competitor]" CEO OR founder interview revenue"[Competitor]" Series A OR Series B OR funding
Traffic & SEO Research
Search for web traffic and search presence signals:
"[Competitor]" site:similarweb.com(traffic estimates, top pages, traffic sources)"[Competitor]" site:ahrefs.com(backlinks, domain rating, organic keywords)"[Competitor]" site:semrush.com(traffic, keyword rankings, ad spend)"[Competitor]" site:trends.google.com(search interest over time)[Competitor website domain] site:builtwith.com(tech stack, tools used)
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.
- 10d ago First seen · 312 lines · 45 tokens per session scan A 6f805d64254b
competitor-intel is a skill published in the GitHub repository ognjengt/founder-skills (294 stars, last pushed 3mo ago), licensed MIT. It adds 45 tokens to every session and 2,394 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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