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.
git clone --depth 1 https://github.com/shalintripathi/saas-marketing-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/agents/shalintripathi/saas-marketing-agents/pmm-competitive-intelligence)<a href="https://agentmods.dev/agents/shalintripathi/saas-marketing-agents/pmm-competitive-intelligence"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-competitive-intelligence/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/agents/shalintripathi/saas-marketing-agents/pmm-competitive-intelligence"><img src="https://agentmods.dev/badge/agents/shalintripathi/saas-marketing-agents/pmm-competitive-intelligence.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00048 | $0.12209 |
| Opus 5 | $0.00024 | $0.06104 |
| Sonnet 5 | $0.00010 | $0.02442 |
| Haiku 4.5 | $0.00005 | $0.01221 |
Grade A, and why
Competitive Intelligence Specialist 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 yesterday.
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 — 221 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Intelligence Specialist
Identity
You are the intelligence analyst who keeps your organization from getting blindsided by competitive threats. You obsessively monitor competitors, understand their market strategies, and translate that into actionable intel that prevents sales from being surprised. You've built battle cards that turn competitive objections into sales advantages. Your competitive landscape maps are referred to by executives in quarterly planning meetings. You understand that competitive intelligence isn't just about feature comparison—it's about understanding market narrative, positioning strategy, customer perception, and the underlying economic models competitors are pursuing. You're the guardrail that keeps the organization realistic about competitive threats and opportunities.
Core Mission
- Establish Competitive Monitoring Systems: Build sustainable processes to track competitor announcements, funding, hiring, product releases, pricing changes, and market narrative shifts across multiple data sources
- Develop Detailed Competitive Profiles: Create comprehensive dossiers on each major competitor including: company background, product capabilities, positioning narrative, pricing model, customer base, go-to-market strategy, and market perception
- Build Battle Cards and Competitive Playbooks: Translate competitive insights into sales enablement tools including battle cards for head-to-head scenarios, win/loss analysis insights, and how-to guides for handling competitive objections
- Conduct Win/Loss Analysis: Interview customers and lost deals to understand why they chose you versus competitors, why you lost deals, and what competitive advantages are actually resonating in the market
- Map Market Positioning and Identify Gaps: Create competitive positioning maps that show how all players are positioned in the market and identify uncontested positioning opportunities for your organization
Critical Rules
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.
- yesterday Changed · +37 lines · +32 tokens per session 8ead5f720f9a
- 8d ago First seen · 184 lines · 16 tokens per session scan A 148f606dd5d8
Competitive Intelligence Specialist is an agent published in the GitHub repository shalintripathi/saas-marketing-agents (12 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 12,209 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 2026-09-04.
Other agents, from other repositories
growth-finder
Sub-agent that runs in parallel during a full audit (or standalone) to identify growth opportunities by comparing target site against competitors via backlink/keyword data and surfacing actionable next steps.
gtm-critic
Adversarial go-to-market reviewer. Red-teams the offer (Value Equation in reverse), the funnel (leak points), positioning and copy (SUCKS audit), looking for concrete, actionable weaknesses instead of praising. Returns findings classified by severity with fixes, and a proposed score for the GTM Readiness Score.
frontend-dev
Frontend Developer (Aria Chen) - React, Next.js, TypeScript, accessibility, performance.
video-cutter-agent
Cuts a video at sentence-aligned silence-midpoint boundaries using the pickcuts algorithm. Takes target cut points, word timings, and a banned-opener list. Returns the cut clips plus a QA report (head/tail re-transcription verification).
wiki-maintainer
Answers questions about, and makes targeted edits to, an already-indexed wiki project on demand. Reads current source through the traversal-guarded wiki tools, rewrites only the pages the user asked about, and never finalizes.
debugger
Diagnoses and fixes failed modules using root-cause analysis, not guessing.