skillopt SKILL.md skillA
skillopt from skillberry-ai/cap-evolve is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add skillberry-ai/cap-evolve/skillopt@git:20260822.02a1a1dPins git:20260822.02a1a1d in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- skillberry-ai/cap-evolve
- Path
skills/algorithms/skillopt/SKILL.md- Versions recorded
- 4
- Latest version
- git:20260822.02a1a1d, committed Aug 22, 2026
- First version recorded
- Jun 17, 2026
- Size
- 9,687 bytes
- Repository stars
- 66
- License
- Apache-2.0
Runs the SkillOpt single-lineage optimization loop, which organizes a hill-climb into epochs over mini-batches of train tasks under a textual learning rate — an integer edit budget that decays on a constant|linear|cosine schedule — and ends each epoch with one extra gated consolidation step. Parent is always the current best; acceptance is the val significance gate. Use when a run should anneal from broad early edits to small late ones and consolidate once per epoch, rather than hill-climb's…
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
# skillopt — annealed single-lineage climb (epochs × mini-batches) SkillOpt (arXiv:2605.23904, *Executive Strategy for Self-Evolving Agent Skills*) organizes a hill-climb into **epochs × mini-batches** under a decaying integer **edit budget**. The name is the paper's; the algorithm edits whatever the selected capability owns — a prompt, a tool surface, a skill package — and never assumes which. **Read the shared step first**, then this file. Parent materialization, the optimizer call, the val evaluation, the significance gate, accept/reject, snapshot/best, the memory and handover files: all of that is `harness.run_step`, documented once in `algorithms/hill-climb/SKILL.md` § "One iteration, end to end" and `algorithms/hill-climb/references/run-step.md`. This file states only what SkillOpt does differently. Know the bound before reaching for this algorithm: **`run_step` lets a caller vary exactly two things — `parent_dir` and `instructions`.** SkillOpt pins `parent_dir` to the current best, identical to hill-climb, so everything novel lives in the `instructions` string plus the choice to run one extra step per …
Read the whole file at its exact version.
How to install
mdr add skillberry-ai/cap-evolve/skillopt@sha256:cb8a56890c34f611The line at the top of this page pins the label git:20260822.02a1a1d, 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_b5hww4x72wkl7tlw)
4 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Jun 17, 2026 and Aug 22, 2026, about one every 22 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260822.02a1a1d latest | 2026-08-22 | 02a1a1d | 9,687 B | A | view · diff |
| git:20260822.65c52f3 | 2026-08-22 | 65c52f3 | 8,583 B | A | view · diff |
| git:20260722.5d6d913 | 2026-07-22 | 5d6d913 | 5,477 B | A | view · diff |
| git:20260617.2e8727c | 2026-06-17 | 2e8727c | 4,934 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 (9687 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
skillberry-ai/cap-evolve · 66 stars · license Apache-2.0 · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_b5hww4x72wkl7tlw GET https://markdownregistry.com/api/v1/resolve?ref=skillberry-ai/cap-evolve/skillopt GET https://markdownregistry.com/api/v1/blob/cb8a56890c34f6112c589460c61310c931f084314dc44e4d25df6d9b08285a80
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.
More from skillberry-ai/cap-evolve
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