kst-ai-assets-usage SKILL.md skillA
kst-ai-assets-usage from pivoshenko/kasetto is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add pivoshenko/kasetto/kst-ai-assets-usage@git:20261029.7211b9bPins git:20261029.7211b9b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- pivoshenko/kasetto
- Path
skills/kst-ai-assets-usage/SKILL.md- Versions recorded
- 3
- Latest version
- git:20261029.7211b9b, committed Oct 29, 2026
- First version recorded
- Sep 14, 2026
- Size
- 8,199 bytes
- Repository stars
- 215
- License
- a license file GitHub does not identify
Report which kasetto-installed skills and MCP servers are actually being used across the AI agents on this machine, and render a branded HTML dashboard of the result. Use whenever the user asks what agent assets they actually use, which skills or MCPs are dead weight, what to prune or clean up from kasetto.yaml, why their context is bloated with unused MCP servers, whether a skill has ever been invoked, or wants a usage report, audit, or dashboard of their agent setup. Also trigger on…
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# kst-ai-assets-usage Kasetto knows what you installed. Each agent knows what it ran. Nothing on the machine joins the two, so installed-and-forgotten assets accumulate silently - skills nobody has ever invoked, MCP servers loading tool definitions into every request for a server the user stopped using months ago. This skill closes that loop: read the lock, read each agent's local session store, join them, and say plainly what is alive and what is dead. ## Run It Two scripts, both standard-library Python 3, both offline. ```bash python3 scripts/collect.py --out usage.json # scan + join python3 scripts/render.py usage.json --out usage.html ``` `collect.py` is the slow one on a cold cache (a few seconds for a large history) and near-instant afterwards - it caches per-file results in `$XDG_CACHE_HOME/kasetto/usage-scan.json` keyed on size and mtime, so a rerun only touches files the agent appended to. Delete that file to force a full rescan. Open the dashboard when it is written, then give the user the short version in the terminal: how many assets are idle, the biggest surprises, and what you would cut. The HTML is the artifact; your reading of it is the value. …
Read the whole file at its exact version.
How to install
mdr add pivoshenko/kasetto/kst-ai-assets-usage@sha256:aed74883e38b0c0cThe line at the top of this page pins the label git:20261029.7211b9b, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_sjhujbkdqutlphag)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Sep 14, 2026 and Oct 29, 2026, about one every 23 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261029.7211b9b latest | 2026-10-29 | 7211b9b | 8,199 B | A | view · diff |
| git:20260914.6b41499 | 2026-09-14 | 6b41499 | 8,205 B | A | view · diff |
| git:20260914.03ee3b5 | 2026-09-14 | 03ee3b5 | 8,177 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (8199 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
pivoshenko/kasetto · 215 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_sjhujbkdqutlphag GET https://markdownregistry.com/api/v1/resolve?ref=pivoshenko/kasetto/kst-ai-assets-usage GET https://markdownregistry.com/api/v1/blob/aed74883e38b0c0c48df68be39ed61703ce3ddc75c5f76a2764c4a6095cb3ef6
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.