analysis-orchestration SKILL.md skillA
analysis-orchestration from linxule/interpretive-orchestration is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add linxule/interpretive-orchestration/analysis-orchestration@git:20261106.dc3b202Pins git:20261106.dc3b202 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- linxule/interpretive-orchestration
- Path
plugin/skills/analysis-orchestration/SKILL.md- Versions recorded
- 4
- Latest version
- git:20261106.dc3b202, committed Nov 6, 2026
- First version recorded
- Feb 1, 2026
- Size
- 5,114 bytes
- Repository stars
- 21
- License
- a license file GitHub does not identify
This skill should be used when users ask about which AI model to use for coding, mentions 'cost', 'batch', 'API', 'configure analysis', wants to process multiple documents, or needs to understand model capabilities and costs for Stage 2.
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
> Script paths: `${CLAUDE_PLUGIN_ROOT}` below is this plugin's root folder, two levels above this skill's own folder. Claude Code fills it in. If you see it unfilled, still starting with a dollar sign (as in Codex, Copilot CLI or Kimi Code), put that folder's absolute path in its place before you run a command.
# analysis-orchestration
Model selection, cost estimation, and batch processing setup for AI-assisted coding. Helps researchers configure their analysis approach with awareness of tradeoffs.
## When to Use
Use this skill when:
- User asks about which AI model to use for coding
- User mentions "cost", "batch", "API", or "configure analysis"
- User wants to process multiple documents
- User needs to understand model capabilities and costs
- Starting Stage 2 and needing to plan the approach
## Capabilities
1. **Model Selection Guidance** - Help choose between models based on task needs
2. **Cost Estimation** - Estimate API costs before processing
3. **Batch Strategy** - Plan efficient document processing
4. **API Configuration** - Set up for programmatic coding (future)
## Model Selection Guide
### For Document Coding (Stage 2)
| Model | Best For | Cost | Quality |
…Read the whole file at its exact version.
How to install
mdr add linxule/interpretive-orchestration/analysis-orchestration@sha256:e2b64fdfa6a097e8The line at the top of this page pins the label git:20261106.dc3b202, 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_tpdrg6t4f3t3nf7k)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 4 versions of this file, between Feb 1, 2026 and Nov 6, 2026, about one every 93 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20261106.dc3b202 latest | 2026-11-06 | dc3b202 | 5,114 B | A | view · diff |
| git:20261106.fabdbaf | 2026-11-06 | fabdbaf | 5,138 B | A | view · diff |
| git:20261106.bb3d139 | 2026-11-06 | bb3d139 | 4,824 B | A | view · diff |
| git:20260201.0665adb | 2026-02-01 | 0665adb | 4,800 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 (5114 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
linxule/interpretive-orchestration · 21 stars · license a license file GitHub does not identify · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_tpdrg6t4f3t3nf7k GET https://markdownregistry.com/api/v1/resolve?ref=linxule/interpretive-orchestration/analysis-orchestration GET https://markdownregistry.com/api/v1/blob/e2b64fdfa6a097e8b57a5e5f5ddb12c5cc3156a1ad8572a71ebcdfc6aa520379
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.