Goose Skills is a library of workflows and data APIs that lets coding agents handle growth and go-to-market work such as advertising, social media, content, SEO, lead generation, and customer research. It is intended for teams using Claude Code, Cursor, Codex, and similar agents. The catalogue entries are its reusable skills.
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 gooseworks-ai/goose-skills --skill competitive-pricing-intelgit clone --depth 1 https://github.com/gooseworks-ai/goose-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/gooseworks-ai/goose-skills/competitive-pricing-intel)<a href="https://agentmods.dev/skills/gooseworks-ai/goose-skills/competitive-pricing-intel"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/competitive-pricing-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/gooseworks-ai/goose-skills/competitive-pricing-intel"><img src="https://agentmods.dev/badge/skills/gooseworks-ai/goose-skills/competitive-pricing-intel.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00073 | $0.02276 |
| Opus 5 | $0.00036 | $0.01138 |
| Sonnet 5 | $0.00015 | $0.00455 |
| Haiku 4.5 | $0.00007 | $0.00228 |
Grade A, and why
competitive-pricing-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 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Pricing Intel
Track competitor pricing pages over time. Detect when they change plans, shift feature gating, adjust pricing models, or introduce new tiers. The output is a living pricing comparison matrix plus alerts when something changes.
Core principle: Pricing is the most under-monitored competitive signal. Most teams only check competitor pricing when they're about to change their own. This skill makes it continuous.
When to Use
- "What are our competitors charging?"
- "Has [competitor] changed their pricing recently?"
- "Build a pricing comparison matrix"
- "Monitor competitor pricing for changes"
- "We're rethinking our pricing — show me the competitive landscape"
Phase 0: Intake
- Your product name + pricing page URL
- Competitors to track — Names + pricing page URLs (2-5 recommended)
- Your pricing model — How do you charge? (per seat, usage, flat, freemium, etc.)
- Key comparison dimensions — What matters to your buyer? (price per seat, included features, limits, support tiers)
- First run or recurring?
- First run: Full baseline capture + historical analysis
- Recurring: Compare against last snapshot
Phase 1: Current Pricing Capture
1A: Live Scrape
For each competitor's pricing page:
Fetch: [competitor pricing URL]
Extract:
- Plan names and prices — Every tier with monthly and annual pricing
- Feature matrix — What's included in each tier?
- Limits — Usage caps, seat limits, storage, API calls
- Add-ons — What costs extra beyond base plans?
- Enterprise tier — "Contact us" or listed price? What's gated behind sales?
- Free tier / trial — What's available without paying?
- Pricing model — Per seat / per user / usage-based / flat / hybrid
1B: Web Archive Historical Check
Search for past versions of their pricing page:
Search: "web.archive.org" "[competitor pricing URL]"
Fetch: web.archive.org/web/*/[competitor pricing URL]
Look for the last 2-3 snapshots to detect:
- Price increases/decreases
- Plan restructuring (new tiers added, tiers removed)
- Feature gating changes (features moved between tiers)
- Model shifts (e.g., moved from per-seat to usage-based)
- Free tier changes (expanded or restricted)
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.
- 9d ago First seen · 258 lines · 73 tokens per session scan A 5ec68c7b3bcc
competitive-pricing-intel is a skill published in the GitHub repository gooseworks-ai/goose-skills (1,202 stars, last pushed 11d ago), licensed MIT. It adds 73 tokens to every session and 2,276 once invoked, about $0.0004 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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