memento SKILL.md skillA
memento from waterdrop26651/memento-skill is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add waterdrop26651/memento-skill/memento@v1.1.0Pins v1.1.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- waterdrop26651/memento-skill
- Path
SKILL.md- Versions recorded
- 5
- Latest version
- v1.1.0, committed Nov 3, 2026
- First version recorded
- Jun 1, 2026
- Size
- 12,777 bytes
- Repository stars
- 3
- License
- MIT
Controlled recall and anchored direction for research agents. Use it for research memory, experiment tracking, evidence ledgers, hypothesis updates, archival recall, and picking the next high-information contrast. Use it also to keep an agent's experiments tied to the project's core question and method, with a main table as their metric. Use it whenever a long research project needs a tracker or a handoff, whenever the agent keeps drifting into side experiments or invented framings, and…
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
# Memento ## Overview Memento treats research memory as a controlled recall problem. External records help an agent continue work across sessions, but they can also pollute the next decision if stale notes, weak evidence, or misleading summaries are read as current facts. The goal is not to remember everything. The goal is to keep the current decision surface clear: facts in one ledger, contrasts in another, beliefs in a third, and stale fragments behind an archive index until there is a real reason to recall them. Default stance: optimize for fast continuation, not exhaustive replay. A good tracker lets a fresh agent recover the current decision surface quickly without re-reading the whole experimental past. Memory without a compass still drifts. The anchor layer names the project's core question and core method, and makes every experiment justify itself against them. A main table, the tables and figures the final report must contain, measures the question and method. It is a means, not the goal, and it follows the final system under study. ## Use this skill when - The user wants an experiment tracker, ablation plan, run table, or research log. …
Read the whole file at its exact version.
How to install
mdr add waterdrop26651/memento-skill/memento@sha256:70807797d4e8a682The line at the top of this page pins the label v1.1.0, 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_pv6vqmunp3iitmqo)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 1, 2026 and Nov 3, 2026, about one every 39 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-11-03 | d161eb1 | 12,777 B | A | view · diff |
| v1.1.0 | 2026-11-03 | 84518a1 | 12,795 B | A | view · diff |
| v1.0.0 | 2026-06-01 | a7a5124 | 8,642 B | A | view · diff |
| v1.0.0 | 2026-06-01 | 414dd0f | 8,814 B | A | view · diff |
| v1.0.0 | 2026-06-01 | 18c6eb5 | 8,618 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 (12777 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
waterdrop26651/memento-skill · 3 stars · license MIT · pushed 2026-11-03 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pv6vqmunp3iitmqo GET https://markdownregistry.com/api/v1/resolve?ref=waterdrop26651/memento-skill/memento GET https://markdownregistry.com/api/v1/blob/70807797d4e8a6827bfc1d9a02d641746f2fe43aa98b3cc44c3134f3c002ec2f
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.