evaluation-methodology SKILL.md skillA
evaluation-methodology from rudycity/superagent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add rudycity/superagent/evaluation-methodology@git:20260626.019dba9Pins git:20260626.019dba9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- rudycity/superagent
- Path
.agents/skills/evaluation-methodology/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260626.019dba9, committed Jun 26, 2026
- Size
- 22,160 bytes
- Repository stars
- 64
- License
- MIT
PluginEval quality methodology — dimensions, rubrics, statistical methods, and scoring formulas. Use this skill when understanding how plugin quality is measured, when interpreting a low score on a specific dimension, when deciding how to improve a skill's triggering accuracy or orchestration fitness, when calibrating scoring thresholds for your marketplace, or when explaining quality badges to external partners like Neon.
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
# Evaluation Methodology This document is the authoritative reference for how PluginEval measures plugin and skill quality. It covers the three evaluation layers, all ten scoring dimensions, the composite formula, badge thresholds, anti-pattern flags, Elo ranking, and actionable improvement tips. Related: [Full rubric anchors](references/rubrics.md) --- ## The Three Evaluation Layers PluginEval stacks three complementary layers. Each layer produces a score between 0.0 and 1.0 for each applicable dimension, and later layers override or blend with earlier ones according to per-dimension blend weights. ### Layer 1 — Static Analysis **Speed:** < 2 seconds. No LLM calls. Deterministic. The static analyzer (`layers/static.py`) runs six sub-checks directly against the parsed SKILL.md: | Sub-check | What it measures | |---|---| | `frontmatter_quality` | Name presence, description length, trigger-phrase quality | | `orchestration_wiring` | Output/input documentation, code block count, orchestrator anti-pattern | | `progressive_disclosure` | Line count vs. sweet-spot (200–600 lines), references/ and assets/ bonuses | …
Read the whole file at its exact version.
How to install
mdr add rudycity/superagent/evaluation-methodology@sha256:1fe24ef305365142The line at the top of this page pins the label git:20260626.019dba9, 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_6xovf7mnm5r4x7fy)
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Versions
The registry has recorded 1 version of this file, committed on Jun 26, 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 (22160 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
rudycity/superagent · 64 stars · license MIT · pushed 2026-11-06 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_6xovf7mnm5r4x7fy GET https://markdownregistry.com/api/v1/resolve?ref=rudycity/superagent/evaluation-methodology GET https://markdownregistry.com/api/v1/blob/1fe24ef3053651427ee3c82927e28a12f9fc89209fd54e0f9e487319ac80beb0
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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