meoh SKILL.md skillA
meoh from optima-cityu/llm4ad_next is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add optima-cityu/llm4ad_next/meoh@git:20260825.2005c66Pins git:20260825.2005c66 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- optima-cityu/llm4ad_next
- Path
skills/algo-design/meoh/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260825.2005c66, committed Aug 25, 2026
- Size
- 2,652 bytes
- Repository stars
- 674
- License
- BSD-3-Clause
Multi-objective Evolution of Heuristics (MEoH) method skill. USE WHEN the user explicitly requests MEoH / Multi-objective EoH, or wants Pareto-based population evolution with archive for multi-objective problems.
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
# Multi-objective Evolution of Heuristics (MEoH) Skill > **Paper**: Yao et al., "Multi-objective evolution of heuristic using large language model", AAAI 2025. ## 1. Method Essence MEoH extends EOH's evolutionary operators (E1/E2/M1/M2) to **multi-objective** scenarios: individuals are evaluated with multiple objective vectors, Pareto non-dominated sorting determines selection pressure, and a **non-dominated archive** maintains the historical best front. The LLM sees multiple representative individuals from the front during generation, accommodating different objective preferences. Key differences from single-objective EOH: - Selection is based on **domination + crowding**, not a single score - **Front diversity** must be maintained: both ends and the middle of the front must have representatives - Archive individuals can be "resurrected" for crossover (even if not in the current population) ## 2. Recommended Parameters See `params.yaml` in this directory for the recommended parameter configuration. **Note**: The number of objectives is determined by the length of `objective_metrics`, not a separate `num_objs` parameter. ### What Happens During Evolution …
Read the whole file at its exact version.
How to install
mdr add optima-cityu/llm4ad_next/meoh@sha256:424ee8b40b501758The line at the top of this page pins the label git:20260825.2005c66, 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_a2hhvaq4a47kfxvm)
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Versions
The registry has recorded 1 version of this file, committed on Aug 25, 2026.
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 (2652 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
optima-cityu/llm4ad_next · 674 stars · license BSD-3-Clause · pushed 2026-10-22 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_a2hhvaq4a47kfxvm GET https://markdownregistry.com/api/v1/resolve?ref=optima-cityu/llm4ad_next/meoh GET https://markdownregistry.com/api/v1/blob/424ee8b40b501758fba33f8132df344d3e9989f002b16707b41e53fae03bfdfe
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.