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 OpenClaudia/openclaudia-skills --skill geo-difficultygit clone --depth 1 https://github.com/OpenClaudia/openclaudia-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/openclaudia/openclaudia-skills/geo-difficulty)<a href="https://agentmods.dev/skills/openclaudia/openclaudia-skills/geo-difficulty"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/geo-difficulty/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/openclaudia/openclaudia-skills/geo-difficulty"><img src="https://agentmods.dev/badge/skills/openclaudia/openclaudia-skills/geo-difficulty.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Data Exfiltration · line 29 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00082 | $0.00727 |
| Opus 5 | $0.00041 | $0.00364 |
| Sonnet 5 | $0.00016 | $0.00145 |
| Haiku 4.5 | $0.00008 | $0.00073 |
Grade A, and why
geo-difficulty scanned grade A with 1 finding 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 13d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST https://www.enception.ai/api/tools/geo-difficulty \ How it starts
The opening of the file, as written. The whole thing — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GEO Difficulty
Score keyword ranking difficulty for the AI-search era. Unlike plain Ahrefs KD or domain DR, this:
- uses page-level URL Rating (UR) of the results that actually target the query — so a generic article on a huge domain (e.g. mckinsey.com) stops inflating the score;
- is client-relative — the same SERP is a wall for a no-name site but ~won for a site already ranking or cited in Google's AI Overview;
- folds in the AI Overview citation as a first-class signal.
Disclosure: contributed by Enception AI. Backed by the free public API behind https://www.enception.ai/tools/geo-difficulty (POST https://www.enception.ai/api/tools/geo-difficulty, no API key). Server-side data comes from Ahrefs and SerpAPI.
Usage
bash scripts/score.sh "ai form real estate" "ai slide legal" --client example.com
- Pass one or more keywords (quote each). Up to 10 per call.
--client <domain>is optional; add it to get the client-relative verdict (WON/FOOTHOLD/NOT RANKING).GEO_DIFFICULTY_URLenv var overrides the endpoint (rarely needed).
Or call the API directly:
curl -s -X POST https://www.enception.ai/api/tools/geo-difficulty \
-H 'content-type: application/json' \
-d '{"keywords":["ai presentation maker"],"client":"example.com"}' --max-time 150
Output columns
- absolute — difficulty 0–100 for a brand-new site (
0.35·KD + 0.40·median competitor page-UR + 0.25·targeting%). - client_verdict / client_diff — only with
--client. WON (top-3 or AI-Overview cited), FOOTHOLD (ranks 4–10), NOT RANKING (with the gap to close, credited for the client's DR). - KD — Ahrefs keyword difficulty;
-for zero-volume long-tail. - UR — median page-level URL Rating of the real competitors.
- tgt% — share of the top-10 that actually target the query.
- AIO —
cited(client in the AI Overview),Nsrc(AIO shown, N sources),none, orn/a(AIO not available for this query). - competitors — the targeting results with their UR.
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.
- 13d ago First seen · 49 lines · 82 tokens per session scan A bfa5a685473b
geo-difficulty is a skill published in the GitHub repository OpenClaudia/openclaudia-skills (689 stars, last pushed today), licensed MIT. It adds 82 tokens to every session and 727 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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