self-optimization SKILL.md skillA
self-optimization from a5c-ai/babysitter is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add a5c-ai/babysitter/self-optimization@git:20260601.da7723aPins git:20260601.da7723a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- a5c-ai/babysitter
- Path
library/methodologies/ruflo/skills/self-optimization/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260601.da7723a, committed Jun 1, 2026
- First version recorded
- Mar 25, 2026
- Size
- 1,510 bytes
- Repository stars
- 1,896
- License
- MIT
SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
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
- Improving routing and agent selection over time - Adapting to new project patterns without forgetting old ones - Building cross-session intelligence ## SONA Cycle 1. **Extract Patterns** - Mine execution data for recurring patterns 2. **RETRIEVE** - Search ReasoningBank for matching trajectories 3. **JUDGE** - Evaluate trajectory applicability in current context 4. **DISTILL** - Compress and store new entries 5. **Adapt** - Update weights with EWC++ regularization ## Anti-Forgetting (EWC++) - Elastic Weight Consolidation prevents overwriting previously learned patterns - Fisher information matrix tracks parameter importance - Configurable regularization penalty for new adaptations ## RL Algorithms Q-Learning, SARSA, PPO, DQN, A2C, TD3, SAC, DDPG, Rainbow ## Agents Used - `agents/optimizer/` - Performance tuning - `agents/adaptive-queen/` - Real-time adaptation ## Tool Use Invoke via babysitter process: `methodologies/ruflo/ruflo-intelligence`
Read the whole file at its exact version.
How to install
mdr add a5c-ai/babysitter/self-optimization@sha256:7fdf372ed8026938The line at the top of this page pins the label git:20260601.da7723a, 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_vhpifso5adjpangu)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Mar 25, 2026 and Jun 1, 2026, about one every 17 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260601.da7723a latest | 2026-06-01 | da7723a | 1,510 B | A | view · diff |
| git:20260507.9f5be95 | 2026-05-07 | 9f5be95 | 1,544 B | A | view · diff |
| git:20260507.8dfdcb4 | 2026-05-07 | 8dfdcb4 | 1,539 B | C | view · diff |
| git:20260507.56f011d | 2026-05-07 | 56f011d | 1,668 B | A | view · diff |
| git:20260325.a6b3a88 | 2026-03-25 | a6b3a88 | 1,571 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 (1510 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
a5c-ai/babysitter · 1,896 stars · license MIT · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_vhpifso5adjpangu GET https://markdownregistry.com/api/v1/resolve?ref=a5c-ai/babysitter/self-optimization GET https://markdownregistry.com/api/v1/blob/7fdf372ed80269382d13b0c154de3bd5ffa857c9787146fbf74e5a454551e324
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.