Borrowing it
Nothing to install: this file belongs to opencue/cuecards. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/opencue/cuecards/main/.agents/skills/source-command-audit-geo/SKILL.mdgit clone --depth 1 https://github.com/opencue/cuecardsWrote 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/opencue/cuecards/source-command-audit-geo)<a href="https://agentmods.dev/skills/opencue/cuecards/source-command-audit-geo"><img src="https://agentmods.dev/badge/skills/opencue/cuecards/source-command-audit-geo.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.00678 |
| Opus 5 | $0.00015 | $0.00339 |
| Sonnet 5 | $0.00006 | $0.00136 |
| Haiku 4.5 | $0.00003 | $0.00068 |
Grade A, and why
source-command-audit-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 3d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
source-command-audit-geo
Use this skill when the user asks to run the migrated source command audit-geo.
Command Template
/audit-geo — GEO Health Check for cuecards
Audit cuecards' Generative Engine Optimisation (GEO) layer for accuracy and completeness. GEO = making Cue easy for ChatGPT, Perplexity, Google AI Overviews, and similar systems to understand, summarise, and cite correctly.
What to check
1. llms.txt accuracy (root)
- Version/install command is current:
grep "npm install" llms.txtmatches current npm package - Supported agent count matches
docs/llms-full.txt
2. web/public/llms.txt accuracy
- Consistent with root
llms.txt - All linked GitHub URLs resolve (spot-check 3)
3. content/geo/entity-profile.json
- Valid JSON:
python3 -m json.tool content/geo/entity-profile.json > /dev/null @typeincludesSoftwareApplicationfeatureListcount ≥ 8keywordslist ≥ 8 termsdescriptionfield matches README tagline (no drift)
4. content/geo/brand-facts.md
- Agent count in "Supported agents" section matches
docs/llms-full.txt - Install commands are syntactically valid bash
- Token cost claim (10–25×) matches README claim
5. content/geo/answer-engine-faq.md
- Every answer is ≥ 2 sentences (too short = not citation-worthy)
- Install commands match current
package.jsonpackage name - No questions reference outdated file names (e.g.
.cue-profileshould now be.cue.profile)
6. content/geo/ai-discovery-map.yml
- All
url:values use the correct GitHub org (opencue/cuecards) - No dead paths referenced (check
do_not_scrapelist is still accurate)
7. Consistency cross-check
- Product name: "cuecards" (lowercase) used consistently — not "CUE" or "Cue" as primary
- npm package:
cue-aiconsistent across all geo files - Repository:
https://github.com/opencue/cuecardsconsistent
Report format
| File | Status | Issues |
|---|---|---|
| llms.txt (root) | ✅/❌ | ... |
| web/public/llms.txt | ✅/❌ | ... |
| entity-profile.json | ✅/❌ | ... |
| brand-facts.md | ✅/❌ | ... |
| answer-engine-faq.md | ✅/❌ | ... |
| ai-discovery-map.yml | ✅/❌ | ... |
| Cross-file consistency | ✅/❌ | ... |
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.
- 3d ago First seen · 68 lines · 31 tokens per session scan A 97f8125a4c8b
source-command-audit-geo is a skill published in the GitHub repository opencue/cuecards (5 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 678 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 2026-09-03.
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