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 dhruv-anand-aintech/agent-rules-sync --skill multi-select-reordergit clone --depth 1 https://github.com/dhruv-anand-aintech/agent-rules-syncWrote 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/dhruv-anand-aintech/agent-rules-sync/multi-select-reorder)<a href="https://agentmods.dev/skills/dhruv-anand-aintech/agent-rules-sync/multi-select-reorder"><img src="https://agentmods.dev/badge/skills/dhruv-anand-aintech/agent-rules-sync/multi-select-reorder/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/dhruv-anand-aintech/agent-rules-sync/multi-select-reorder"><img src="https://agentmods.dev/badge/skills/dhruv-anand-aintech/agent-rules-sync/multi-select-reorder.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00027 | $0.00278 |
| Opus 5 | $0.00014 | $0.00139 |
| Sonnet 5 | $0.00005 | $0.00056 |
| Haiku 4.5 | $0.00003 | $0.00028 |
Grade A, and why
multi-select-reorder 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 8d 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
Multi Select Reorder
Use this skill when a coding agent should present choices in a temporary local web UI, let the user select multiple items, reorder them with drag-and-drop, and return the submitted result.
Prefer the MCP tool when available:
multi_select_reorder: checkbox multi-select plus drag-and-drop ordering.
Options are initially selected by default. To set initial state manually, pass
option objects with selected: false, or pass initial_selected as a list of
option ids. For compact calls, options can be tuple-style JSON arrays in the
form [id, label, description, selected], with omitted trailing values using
the normal defaults.
Pass edit_descriptions: true when the user should be able to edit option
descriptions in the same browser window.
The selector writes JSON with:
mode:multi_select_reorder.selected: selected option ids.ordered: selected option ids in the submitted order.descriptions: final descriptions keyed by option id.cancelled: whether the user cancelled.
Do not use this skill for terminal-native TUI selection. It is specifically for browser-based multi-select reorder flows.
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.
- 8d ago First seen · 32 lines · 27 tokens per session scan A ddf761f7cc0f
multi-select-reorder is a skill published in the GitHub repository dhruv-anand-aintech/agent-rules-sync (7 stars, last pushed 1mo ago), licensed MIT. It adds 27 tokens to every session and 278 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.
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