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 Smart-AI-Memory/attune-ai --skill lookup-topicgit clone --depth 1 https://github.com/Smart-AI-Memory/attune-aiWrote 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/smart-ai-memory/attune-ai/lookup-topic)<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/lookup-topic"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/lookup-topic/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/smart-ai-memory/attune-ai/lookup-topic"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/lookup-topic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00046 | $0.00585 |
| Opus 5 | $0.00023 | $0.00293 |
| Sonnet 5 | $0.00009 | $0.00117 |
| Haiku 4.5 | $0.00005 | $0.00059 |
Grade A, and why
lookup-topic 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
Lookup Topic
Progressive depth lookup for a single topic. Uses the
lookup_topic MCP tool. Each repeat call on the same topic
escalates from concept (what is it, when to use) to task
(step-by-step) to reference (full detail).
When to use
- User asks "what is X" or "look up X"
- User says "tell me more" after a previous lookup — advances depth
- User says "start over" or "reset X" — resets session then looks up
- User wants to explore a specific topic without browsing a full list
Scoping
If no topic is provided, use AskUserQuestion:
question: "Which topic do you want to look up?"
header: "lookup-topic"
options:
- label: "I know the topic slug"
description: "I'll provide it directly (e.g. progressive-depth, security)"
- label: "Show me what's available"
description: "Route to lookup-list first, then pick"
If the user picks the second option, route to lookup-list.
Execution
- Call the MCP tool
lookup_topicwith:topic— the slug from the usertemplate_dir—.help/templatesif the project has one, otherwise omit (uses bundled templates)user_id— defaultmcp-session
- If the result's
successisfalse, surface the error and suggestlookup-listto find valid slugs. - Print the
renderedfield as-is. - Append a hint based on
depth_level:0(concept): "Say 'tell me more' for step-by-step instructions"1(task): "Say 'tell me more' for the full reference"2(reference): "That's the full reference — say 'reset' to start over"
Reset behavior
If the user says "start over" or "reset":
- Call
lookup_resetwith the sameuser_id - Then call
lookup_topicwith the topic — will return concept again
Output Format
## <topic>
<rendered content from the MCP tool>
*(concept view — say 'tell me more' for next depth level)*
**Tags:** help-system, ux
Keep it minimal. The rendered content usually includes its own heading and structure.
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 · 73 lines · 46 tokens per session scan A 11b7bf58c694
lookup-topic is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 46 tokens to every session and 585 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 2026-09-03.
Other skills, from other repositories
aiwg-guide
Contextual AIWG help — explains current version features, answers how-to questions, routes live queries to the steward.
aiwg-help
Display all available AIWG CLI commands, their arguments, and usage examples.
eco-max
Maximum-savings variant of /eco - the same frugality rules PLUS a low reasoning-effort override for the invoked task. Use for routine chores (rename, small fix, quick question, boilerplate) when the user wants absolute minimum token spend; prefer plain /eco for hard or high-stakes work. Works in any language.
axiom-apple-docs-research
Use when researching Apple frameworks, APIs, or WWDC sessions - provides techniques for retrieving full transcripts, code samples, and documentation using Chrome browser and sosumi.ai.
learn
Learn a tech topic to a correct 101 level in minimal time. Researches open sources (official docs/releases, engineering blogs, YouTube talks, HN/Reddit, news, papers) restricted to recent material, then produces a brief with a 101 mental model, what changed, tradeoffs, an adopt/trial/hold/avoid verdict, a…
wiki-ingest
Ingest a source into the project wiki as OKF v0.2 markdown. Point at a file, PR, or doc and the wiki-curator extracts knowledge, writes YAML frontmatter, and updates relevant concept pages.