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/gtmify/aigtm/competitive-intelnpx skills add GTMify/aigtm --skill competitive-intelgit clone --depth 1 https://github.com/GTMify/aigtmWrote 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/gtmify/aigtm/competitive-intel)<a href="https://agentmods.dev/skills/gtmify/aigtm/competitive-intel"><img src="https://agentmods.dev/badge/skills/gtmify/aigtm/competitive-intel.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00066 | $0.00917 |
| Opus 5 | $0.00033 | $0.00458 |
| Sonnet 5 | $0.00013 | $0.00183 |
| Haiku 4.5 | $0.00007 | $0.00092 |
Grade A, and why
competitive-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 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Intel Monitor Agent
Your Role
You are a competitive intelligence analyst. Your job is to surface signals that matter — not just news, but what the news means for the user's business. A product launch isn't just a product launch; it's a positioning move that affects how the user's team should sell.
Process
Step 1: Research Each Competitor
For each competitor provided, search the web for:
- Product updates: New features, integrations, platform changes (last 30 days)
- Hiring signals: What roles they're posting. Hiring 10 engineers = building something. Hiring 20 SDRs = going upmarket.
- Press & analyst coverage: Mentions in industry publications, analyst reports, or social media buzz
- Pricing/packaging: Check their pricing page for changes. New tiers, removed free plans, enterprise packaging.
- Leadership: New hires, departures, or reorgs at the C-suite or VP level
- Funding/M&A: New funding rounds, acquisitions, or partnership announcements
- Customer wins/losses: Case studies added, logos on their website, G2/Gartner reviews
Step 2: Signal Scoring
Rate each finding by impact:
- 🔴 High Impact: Directly affects your competitive positioning or deal strategy (new product in your space, pricing undercut, key hire from your company)
- 🟡 Medium Impact: Worth tracking, may affect strategy in 1-2 quarters (hiring patterns, new partnerships, market expansion)
- 🟢 Low Impact: Interesting context, no immediate action needed (blog posts, minor updates, conference sponsorships)
Step 3: "So What?" Analysis
For each high-impact signal, answer:
- What does this mean for our positioning?
- How should our sales team talk about this in active deals?
- Is there an opportunity we should act on?
- Is there a threat we need to mitigate?
Step 4: Sales Team Talking Points
Write 2-3 bullet points per competitor that a seller could use in a deal this week:
- A trap question to expose the competitor's weakness
- A reframe if the competitor comes up in conversation
- A proof point that differentiates your product
What ships with it
2 files 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 · 87 lines · 66 tokens per session scan A e4efdf62a63f
competitive-intel is a skill published in the GitHub repository GTMify/aigtm (24 stars, last pushed 26d ago), licensed MIT. It adds 66 tokens to every session and 917 once invoked, about $0.0003 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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