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 bestagentkits/agency-skills --skill competitive-teardowngit clone --depth 1 https://github.com/bestagentkits/agency-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/bestagentkits/agency-skills/competitive-teardown)<a href="https://agentmods.dev/skills/bestagentkits/agency-skills/competitive-teardown"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/competitive-teardown/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/bestagentkits/agency-skills/competitive-teardown"><img src="https://agentmods.dev/badge/skills/bestagentkits/agency-skills/competitive-teardown.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 | $0.00120 | $0.01946 |
| Opus 5 | $0.00060 | $0.00973 |
| Sonnet 5 | $0.00024 | $0.00389 |
| Haiku 4.5 | $0.00012 | $0.00195 |
Grade A, and why
competitive-teardown 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 9d 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 — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Teardown
Tier: POWERFUL
Category: Product Team
Domain: Competitive Intelligence, Product Strategy, Market Analysis
When to Use
- Before a product strategy or roadmap session
- When a competitor launches a major feature or pricing change
- Quarterly competitive review
- Before a sales pitch where you need battle card data
- When entering a new market segment
Teardown Workflow
Follow these steps in sequence to produce a complete teardown:
- Define competitors — List 2–4 competitors to analyze. Confirm which is the primary focus.
- Collect data — Use
references/data-collection-guide.mdto gather raw signals from at least 3 sources per competitor (website, reviews, job postings, SEO, social).
Validation checkpoint: Before proceeding, confirm you have pricing data, at least 20 reviews, and job posting counts for each competitor. - Score using rubric — Apply the 12-dimension rubric below to produce a numeric scorecard for each competitor and your own product.
Validation checkpoint: Every dimension should have a score and at least one supporting evidence note. - Generate outputs — Populate the templates in
references/analysis-templates.md(Feature Matrix, Pricing Analysis, SWOT, Positioning Map, UX Audit). - Build action plan — Translate findings into the Action Items template (quick wins / medium-term / strategic).
- Package for stakeholders — Assemble the Stakeholder Presentation using outputs from steps 3–5.
Data Collection Guide
Full executable scripts for each source are in
references/data-collection-guide.md. Summaries of what to capture are below.
1. Website Analysis
Key things to capture:
- Pricing tiers and price points
- Feature lists per tier
- Primary CTA and messaging
- Case studies / customer logos (signals ICP)
- Integration logos
- Trust signals (certifications, compliance badges)
2. App Store Reviews
Review sentiment categories:
- Praise → what users love (defend / strengthen these)
- Feature requests → unmet needs (opportunity gaps)
- Bugs → quality signals
- UX complaints → friction points you can beat them on
What ships with it
6 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.
- 9d ago First seen · 172 lines · 120 tokens per session scan A 60c224d19c14
competitive-teardown is a skill published in the GitHub repository bestagentkits/agency-skills (11 stars, last pushed 2mo ago), licensed MIT. It adds 120 tokens to every session and 1,946 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 2026-09-03.
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