rememora-search SKILL.md skillA

rememora-search from rememora/rememora is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add rememora/rememora/rememora-search@git:20260419.63cce82

Pins git:20260419.63cce82 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
rememora/rememora
Path
plugin/skills/rememora-search/SKILL.md
Versions recorded
2
Latest version
git:20260419.63cce82, committed Apr 19, 2026
First version recorded
Apr 3, 2026
Size
4,190 bytes
Repository stars
3
License
MIT

ALWAYS use this skill BEFORE any of these actions: (1) Implementing something non-trivial — search for prior decisions and patterns in this area before writing code. (2) Encountering unfamiliar code or architecture — search for entity knowledge before exploring from scratch. (3) The user references past work, past decisions, or "what we decided" — search for that context. (4) You are stuck or blocked on a problem — search for related cases and solutions. (5) Making a decision that could…

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

# Search Rememora for Prior Knowledge

Before starting non-trivial work, check if there is relevant knowledge from
prior sessions. Rememora stores memories in three tiers (L0 abstract, L1
overview, L2 content), so you can filter cheaply before paying the full
token cost of a memory.

## Progressive-disclosure workflow (search → timeline → get)

Do not pull full memory content up front. Use the three verbs in order.

### 1. `rememora search --format compact` — filter

Scan for relevant memories by topic. Compact output is one line per hit
(~75 tokens/hit), enough to decide whether to drill in.

```bash
rememora search "<what you're looking for>" --project <project-name> --format compact
```

Each line looks like:

```
[decision] Picked Redis over Memcached — rememora://projects/foo/memories/decision/redis-caching (rank=-1.23)
```

Query tips:
- Use the topic or domain: `"database choice"`, `"auth middleware"`
- Use the problem area: `"JWT token expiration"`, `"rate limiting"`
- Use the entity name: `"Stripe integration"`, `"prisma schema"`

### 2. `rememora timeline --anchor <uri>` — context around a hit

Once a hit looks promising, pull the neighbours around it to understand
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add rememora/rememora/rememora-search@sha256:7f0b04ae33c792e0

The line at the top of this page pins the label git:20260419.63cce82, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_ik444ma76c77myyp.svg)](https://markdownregistry.com/a/art_ik444ma76c77myyp)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Apr 3, 2026 and Apr 19, 2026, about one every 16 days.

versioncommittedcommitsizeaudit
git:20260419.63cce82 latest2026-04-19 63cce82 4,190 BA view · diff
git:20260403.8e53a7b2026-04-03 8e53a7b 2,212 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (4190 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

GitHub

rememora/rememora · 3 stars · license MIT · pushed 2026-09-17 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ik444ma76c77myyp
GET https://markdownregistry.com/api/v1/resolve?ref=rememora/rememora/rememora-search
GET https://markdownregistry.com/api/v1/blob/7f0b04ae33c792e06d8839af15103dc3323ae24cb9863ec56e074df52a2e801a

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.

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Every file in rememora/rememora

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