AAS Core is a local control plane for coding agents that lets them search a large catalogue of skills, choose a stack, validate it, and create a reproducible plan. It is used to assemble and review agent workflows through its CLI, local MCP server, catalogue, plugins, and Workbench. The catalogue add-ons provide the skills, plugins, bundles, and workflows that AAS Core helps agents select and validate.
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 sickn33/agentic-awesome-skills --skill arcmira-find-quotesgit clone --depth 1 https://github.com/sickn33/agentic-awesome-skillsWrote 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/sickn33/agentic-awesome-skills/arcmira-find-quotes)<a href="https://agentmods.dev/skills/sickn33/agentic-awesome-skills/arcmira-find-quotes"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/arcmira-find-quotes/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/sickn33/agentic-awesome-skills/arcmira-find-quotes"><img src="https://agentmods.dev/badge/skills/sickn33/agentic-awesome-skills/arcmira-find-quotes.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 | $0.00031 | $0.01164 |
| Opus 5.5 | $0.00012 | $0.00466 |
| Sonnet 5.5 | $0.00006 | $0.00233 |
| Haiku 4.5 | $0.00003 | $0.00116 |
Grade A, and why
arcmira-find-quotes 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- arcmira-find-quotes — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Arcmira: YouTube Transcript Search
Overview
Find spoken passages, read their surrounding transcript lines and cite the original video at the relevant timestamp. Adapted from Arcmira's Apache-2.0 plugin skill at v0.10.6; this version is self-contained and omits monitor creation and feedback writes.
When to Use
- The user wants an exact quote with its source and timestamp.
- The user wants moments discussing a topic for a clip or citation.
- The user asks what a particular speaker said across indexed shows.
How It Works
Use an existing authorized Arcmira MCP connection. If it is missing, direct the user to the MCP setup guide. Do not silently install software or modify host configuration. API documentation describes the hosted service, which is separate from the plugin's license.
- Call
arcmira_describebefore the first program to obtain the current method arguments and response fields. Run research programs througharcmira_execute_read. - Resolve names with
arcmira.resolve; filters take IDs, not names. Supplycontextonly from the user's own disambiguating words. Usebest, disclose asuggestedmatch and its evidence, or presentask.options. Do not invent an identity when no match exists. - Put topic words in
query. Use a resolved person's ID inspeakerIdsfor who said it,aboutfor who or what was discussed, and a resolved show'syoutube_channel_idinchannelIds. Preserve the user's date window; otherwise state the window chosen. - Read a short transcript window around a useful hit. Check
statebefore accessinglines:pendingincludes an estimated wait;failedorrefundedis not a transcript. Do not silently retry failed processing. - Quote complete thoughts verbatim, with the episode, publication date and returned timestamped source link. Clip boundaries come from transcript line offsets, not guessed word timing. A multi-speaker passage is not entirely attributable to the speaker used as a search filter.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 90 lines · 31 tokens per session scan A 79cf6354e013
arcmira-find-quotes is a skill published in the GitHub repository sickn33/agentic-awesome-skills (48,269 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 1,164 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-13.
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arcmira-find-quotes
Search indexed YouTube and podcast transcripts for quotes, speakers and clip boundaries with timestamped source links using Arcmira.
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