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 agentmods add commands/ofcskn/mobile-automation-plugin/msd-geogit clone --depth 1 https://github.com/ofcskn/mobile-automation-pluginWrote 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/commands/ofcskn/mobile-automation-plugin/msd-geo)<a href="https://agentmods.dev/commands/ofcskn/mobile-automation-plugin/msd-geo"><img src="https://agentmods.dev/badge/commands/ofcskn/mobile-automation-plugin/msd-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 | $0.00022 | $0.00208 |
| Opus 5 | $0.00011 | $0.00104 |
| Sonnet 5 | $0.00004 | $0.00042 |
| Haiku 4.5 | $0.00002 | $0.00021 |
Grade A, and why
msd-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 5d 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
Run GEO optimization for the specified app.
Ask: app ID, target user persona, key differentiator.
Steps:
- Load
skills/optimizing-geo - Load ASO-optimized description from
.msd/metadata/{appId}/ios/en-US/description.txt(or ask user) - Load
lenses/geo-optimizer.lens.md - Fill parameters: app name, category, ASO description, user persona, differentiator, store URLs
- After user approves the entity anchor sentence:
- Save JSON-LD to
assets/{appId}/schema.json - Save entity anchor to
.msd/config/{appId}.config.json→geo.entityAnchor
- Save JSON-LD to
- Give user the 30-day action plan
Remind user: the entity anchor sentence must stay consistent across ALL surfaces for 6+ months.
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.
- 5d ago First seen · 20 lines · 22 tokens per session scan A c77c2a6f14fe
msd-geo is a command published in the GitHub repository ofcskn/mobile-automation-plugin (2 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 208 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.
Other commands, from other repositories
feature
Post a feature to the Features Board on production and write tweets.
audit
Command "audit" from chohra-med/expo_boilerplate, covering invocation, checks and output.
review
Cold re-quiz on code that already shipped — your own session commits, not the change in front of you.
compose-test
Run Compose UI tests with Espresso. Verify critical user flows.
app-store-audit
Run an enterprise pre submission compliance audit on an iOS or Android app against Apple App Store and Google Play rejection rules. Pass a project path or run from the project root.
OPSX: Bulk Archive
Archive multiple completed changes at once.