famou-result-visualization SKILL.md skillB

famou-result-visualization from baidubce/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add baidubce/skills/famou-result-visualization@v2.0

Pins v2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
B, 16 of 17 checks passed
Kind
SKILL.md skill
Repository
baidubce/skills
Path
skills/famou-result-visualization/SKILL.md
Versions recorded
2
Latest version
v2.0, committed May 12, 2026
First version recorded
Mar 16, 2026
Size
8,167 bytes
Repository stars
32
License
Apache-2.0

Generate interactive visualization pages for feasible solutions produced by Famou evolutionary algorithms. Use this skill when the user mentions "Famou visualization", "visualize this solution", "show feasible solution results", "evolution results", "evolve visualization", or provides a Python-code solution (path planning, scheduling, knapsack, TSP, job scheduling, machine learning, etc.) that needs to be displayed visually. Even if the user just says "help me visualize this solution…

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

# Famou Evolutionary Algorithm Solution — Result Visualization Skill

**Core goal**: Take an optimization problem solution in Python code form, understand its semantics directly, and generate an interactive HTML page that visually demonstrates **the effect of the solution**.

This is not about showing the evolutionary process — it's about showing **what the solution looks like**: draw the route for path planning, draw the timetable for scheduling, draw the packing layout for knapsack problems, draw the colored graph for graph coloring, etc.

---

## Step 1: Collect Inputs

**Required:**
1. **Problem description** — what optimization problem it is, input scale, constraints
2. **Solution in Python code** — the final solution after Famou evolution (functions, data structures, or strategy code are all acceptable)

**Optional:**
- Evaluation score / fitness value
- Initial solution (for comparison)
- Original problem data (e.g. node coordinates, task list, etc.)

If any required input is missing, ask the user to provide it before proceeding.

---

## Step 2: Understand the Solution → Plan the Visualization
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add baidubce/skills/famou-result-visualization@sha256:c80d4de4b7781aeb

The line at the top of this page pins the label v2.0, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4gmkxqrh4k3i6w7l.svg)](https://markdownregistry.com/a/art_4gmkxqrh4k3i6w7l)

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

Versions

The registry has recorded 2 versions of this file, between Mar 16, 2026 and May 12, 2026, about one every 57 days.

versioncommittedcommitsizeaudit
v2.0 latest2026-05-12 79ee714 8,167 BB view · diff
git:20260316.72e246e2026-03-16 72e246e 7,160 BB view

Audit of the latest version

B  16 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • fail: No script tag (matched: <script)
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8167 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

Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.

Source

GitHub

baidubce/skills · 32 stars · license Apache-2.0 · pushed 2026-10-27 · branch develop

API

GET https://markdownregistry.com/api/v1/artifacts/art_4gmkxqrh4k3i6w7l
GET https://markdownregistry.com/api/v1/resolve?ref=baidubce/skills/famou-result-visualization
GET https://markdownregistry.com/api/v1/blob/c80d4de4b7781aebe3b0b573d28f22735fe397f4c9d3332bdd33c6212d348eb6

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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