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/przeprogramowani/ai-rules-builder/10x-plangit clone --depth 1 https://github.com/przeprogramowani/ai-rules-builderWrote 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/przeprogramowani/ai-rules-builder/10x-plan)<a href="https://agentmods.dev/commands/przeprogramowani/ai-rules-builder/10x-plan"><img src="https://agentmods.dev/badge/commands/przeprogramowani/ai-rules-builder/10x-plan.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 | $0.00009 | $0.03133 |
| Opus 5 | $0.00005 | $0.01566 |
| Sonnet 5 | $0.00002 | $0.00627 |
| Haiku 4.5 | $0.00001 | $0.00313 |
Grade A, and why
10x-plan 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 4d 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.
- [ ] API endpoint returns 200: `curl localhost:8080/api/new-endpoint` The source is not reproduced here
Licensed AGPL-3.0
The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
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.
- 4d ago First seen · 441 lines · 9 tokens per session scan A 12c9097a7043
10x-plan is a command published in the GitHub repository przeprogramowani/ai-rules-builder (264 stars, last pushed 6mo ago), licensed AGPL-3.0. It adds 9 tokens to every session and 3,133 once invoked, about $0.0000 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.
Other commands, from other repositories
core-review
Review code changes against SpecOps project-specific patterns. Catches recurring failure modes from real PRs — tool abstraction violations, generated file drift, cross-platform gaps, variable inconsistencies, and more. Complements full-review-gate (generic quality) and pr-fix (applying bot comments).
resolve-conflicts
Resolve merge conflicts on a GitHub PR by merging the base branch into the PR branch in an isolated git worktree, with JSON/markdown-aware conflict resolution.
ship-pr
Commit all changes to a new branch, push, and open a PR for review. The original branch stays clean.
ship
Commit all changes and push to remote in one operation (combines /commit and /push).
brownfield-map
Run a complete brownfield analysis on the codebase and generate MASTER.md, summaries, risk scores, and all derived analytics.
react-router-client-loader
Do this in a clientLoader and use loaderData to render the component. DO NOT create mock data, new interfaces, or mock data loader functions. Instead, assume loaderData has all of the data you need to render the component.