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/lglucas/ai-dev-operating-system/registry-pickgit clone --depth 1 https://github.com/lglucas/ai-dev-operating-systemWrote 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/lglucas/ai-dev-operating-system/registry-pick)<a href="https://agentmods.dev/commands/lglucas/ai-dev-operating-system/registry-pick"><img src="https://agentmods.dev/badge/commands/lglucas/ai-dev-operating-system/registry-pick.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 | $0.00042 | $0.00487 |
| Opus 5 | $0.00021 | $0.00244 |
| Sonnet 5 | $0.00008 | $0.00097 |
| Haiku 4.5 | $0.00004 | $0.00049 |
Grade A, and why
registry-pick 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 6d 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
/registry-pick
Recommend external repository packs from the registry that fit the current project.
Expected input
/registry-pick
Optional arguments:
/registry-pick stack="<stack>" domain="<domain>" compliance="<compliance>"
If arguments are omitted, the skill reads project signals from whatever exists at that point in the wizard — the input contract differs per pass:
| Pass | Lê | NÃO lê |
|---|---|---|
| 3.1 design | docs/business/BUSINESS-PLAN.md v0.0.2, knowledge-base/ |
Product Brief e Technical Plan — ainda não existem |
| 4.3 stack | tudo acima + docs/product/PRODUCT-BRIEF.md, docs/technical/TECHNICAL-PLAN.md, prototype-lab/, manifestos (package.json, Anchor.toml…) |
— |
Pedir na passada de design um arquivo que a Fase 3 ainda não produziu trava o wizard sem motivo.
Actions
- Invoke the
registry-pickskill. - Read
docs/registry/INDEX.mdand the relevantpacks/<slug>.mdone-pagers. - Match project signals against pack tags and fit-signals.
- Output a prioritized recommendation: must-install / recommended / optional / skipped.
- Stop before installing — surface install commands but defer execution to the user.
When to use
- At
WIZARD.mdstage 3.1 — design-scoped pass, before the Prototype Lab. Output:docs/technical/registry-pick-design.md. - At
WIZARD.mdstage 4.3 — full stack pass, after the Technical Plan. Output:docs/technical/registry-pick.md. - When a new domain need surfaces mid-build.
- After a new pack is added to
docs/registry/.
Cross-references
- Skill:
.claude/skills/registry-pick/SKILL.md - Registry:
docs/registry/INDEX.md
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.
- 6d ago First seen · 49 lines · 42 tokens per session scan A 7b2a2fe55caa
registry-pick is a command published in the GitHub repository lglucas/ai-dev-operating-system (11 stars, last pushed 27d ago), licensed MIT. It adds 42 tokens to every session and 487 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 2026-08-30.
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