ai-raccoon-memory SKILL.md skillA
ai-raccoon-memory from arasz/ai-badger is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add arasz/ai-badger/ai-raccoon-memory@v0.2.0Pins v0.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- arasz/ai-badger
- Path
features/common/skills/ai-raccoon-memory/SKILL.md- Versions recorded
- 5
- Latest version
- v0.2.0, committed Oct 7, 2026
- First version recorded
- Oct 2, 2026
- Size
- 13,252 bytes
- Repository stars
- 3
- License
- MIT
Use when a project needs a memory server — search project and shared memory first, write durable facts with source paths, watch a docs directory, or promote facts across projects.
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
# AiRaccoon Memory
## When NOT to Use
- A one-off lookup ("have we seen X before?") — run `memory_search` and be done, no watch ritual, no write-back
- No docs directory to watch and no durable fact to write — the ritual adds ceremony, not value
- The memory-grade hook when you only need one answer — it is opt-in by env var; don't enable it for a single search
## 1. Watch-on-docs ritual (do this first)
On session start, run `memory_watch_status(projectId)` for this project. If the docs directory
is not in the watched list, run `memory_watch_add(projectId, <absolute path to docs>)` to mirror
it into memory. The watch starts `scanning` and settles to `healthy`; an already-watched path is
a no-op.
Also watch `.semantica/` (one-time per project): `mkdir -p .semantica`, then
`memory_watch_add(projectId, <absolute path to .semantica>)`. Re-adding is a no-op; the durable
record lives in memory, so gitignore `.semantica/` in the consumer repo.
**CLI prerequisite (only when the watch errors):** `watching-disabled` or `path-outside-scope`
means the one-time per-install setup is missing (quote the `*` so the shell does not expand it):
…Read the whole file at its exact version.
How to install
mdr add arasz/ai-badger/ai-raccoon-memory@sha256:07a65a6ab45c08f8The line at the top of this page pins the label v0.2.0, 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_u64ghqe3hscwlbjl)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Oct 2, 2026 and Oct 7, 2026, about one every day.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v0.2.0 latest | 2026-10-07 | 5d99092 | 13,252 B | A | view · diff |
| v0.2.0 | 2026-10-04 | c5f29dd | 13,183 B | A | view · diff |
| v0.2.0 | 2026-10-03 | da73d87 | 12,664 B | A | view · diff |
| v0.2.0 | 2026-10-02 | 881d194 | 12,277 B | A | view · diff |
| v0.2.0 | 2026-10-02 | 195b55d | 12,082 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 (13252 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
arasz/ai-badger · 3 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_u64ghqe3hscwlbjl GET https://markdownregistry.com/api/v1/resolve?ref=arasz/ai-badger/ai-raccoon-memory GET https://markdownregistry.com/api/v1/blob/07a65a6ab45c08f85c9a1317b76a54455ee0465aeb7a05b2c22bab930702ecce
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.