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 wedabro/bro-skills --skill speckit.geogit clone --depth 1 https://github.com/wedabro/bro-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/wedabro/bro-skills/speckit.geo)<a href="https://agentmods.dev/skills/wedabro/bro-skills/speckit.geo"><img src="https://agentmods.dev/badge/skills/wedabro/bro-skills/speckit.geo/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/wedabro/bro-skills/speckit.geo"><img src="https://agentmods.dev/badge/skills/wedabro/bro-skills/speckit.geo.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 | $0.00025 | $0.00316 |
| Opus 5 | $0.00013 | $0.00158 |
| Sonnet 5 | $0.00005 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
speckit.geo 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 11d 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.
What it actually says
🎯 Mission
Make sure the website is cited by AI Search engines in the answer.
📥 Input
- Source code (content pages)
.agents/knowledge_base/seo_standards.md
📋 Protocol
Step 1: AI Crawlability
- File
llms.txtat root domain? - SSR/SSG for content pages (NO CSR)?
- Full JSON-LD for Article, Product, FAQ?
Step 2: E-E-A-T Compliance
- Experience: Does the content represent real-life experience?
- Expertise: Author bio, credentials?
- Authoritativeness: Source of citation, data points?
- Trustworthiness: HTTPS, privacy policy, contact info?
Step 3: Content Format for AI
- Short paragraphs (2-3 sentences)
- Bullet points, numbered lists
- Direct answers at the beginning of each section
- FAQ sections "People Also Ask" format
- Fact-dense: Each segment ≥1 data point
Step 4: Topic Authority
- Topic clusters (pillar + supporting articles)
- Internal linking between articles on the same topic
📤 Output
- File:
.agents/memory/geo-audit-report.md
🔗 Handoffs
@speckit.content: Optimize content according to GEO standards
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.
- 11d ago First seen · 42 lines · 25 tokens per session scan A cdbdaa3638a6
speckit.geo is a skill published in the GitHub repository wedabro/bro-skills (2 stars, last pushed 15d ago), licensed MIT. It adds 25 tokens to every session and 316 once invoked, about $0.0001 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 2026-08-31.
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