Borrowing it
Nothing to install: this file belongs to Smart-AI-Memory/attune-ai. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Smart-AI-Memory/attune-ai/main/.agents/skills/catalog/SKILL.mdgit 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/catalog)<a href="https://agentmods.dev/skills/smart-ai-memory/attune-ai/catalog"><img src="https://agentmods.dev/badge/skills/smart-ai-memory/attune-ai/catalog.svg" alt="Measured on agentmods" 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 | $0.00056 | $0.00480 |
| Opus 5 | $0.00028 | $0.00240 |
| Sonnet 5 | $0.00011 | $0.00096 |
| Haiku 4.5 | $0.00006 | $0.00048 |
Grade A, and why
catalog 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 7d 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
Capability Catalog
IMPORTANT: Start your response with a context preamble.
Call help_lookup(topic="catalog", mode="preamble") and
display the returned preamble text as a blockquote. Then
proceed to enumerate.
If the MCP call fails, fall back to:
Catalog — Lists every workflow, wizard, and tool attune offers, read live from the registries so the list never drifts from the code.
Scoping
If the user named a category in the argument
(workflows, wizards, or tools), show only that group.
Otherwise show all three.
Execution
Call the list_capabilities MCP tool (no arguments):
list_capabilities()
It returns {workflows, wizards, tools} — each a list of
{name, description} — plus a counts summary, all read from
list_workflows(), list_wizards(), and the live MCP tool
registry at call time. Do not hand-author or cache these
lists — always render what the tool returns.
Output
Render each requested group as its own markdown table, using
the live counts in the headings:
## Workflows (<counts.workflows>)
| Name | Description |
|------|-------------|
| ... | ... |
Repeat for Wizards and Tools. For each row, where a
dedicated skill exists for that capability, point the user to
it (e.g. "run the security-audit skill"). Close by inviting
the user to pick one.
Relationship to attune-hub
- catalog enumerates — "show me everything attune can do".
- attune-hub routes — "take me to the right workflow for my goal".
If the user wants help choosing or routing rather than a full listing, hand off to the attune-hub skill.
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.
- 7d ago First seen · 63 lines · 56 tokens per session scan A 6bcc5e870d52
catalog is a skill published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed yesterday), licensed Apache-2.0. It adds 56 tokens to every session and 480 once invoked, about $0.0003 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.
Other skills, from other repositories
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.
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.
wiki-lint
Health-check the project wiki for OKF v0.2 conformance — missing frontmatter, missing type:, malformed index.md/log.md, stale pages past staleafter, broken cross-references, and coverage gaps.
run
Run a full pipeline for a task. Orchestrates roles through stages (standalone or HOTL-integrated).
assign
Assign a task to a specific role on your team.
ci-repair
Fix CI failures by fetching GitHub Actions logs, dispatching dev to fix, verifying locally, and pushing.