model-evaluation-reporting skillA
model-evaluation-reporting is agent-read markdown (skill) from yeaight7/agent-powerups: Use when writing or reviewing a model evaluation report -- accuracy is being quoted alone, or stakeholders need failure modes, segment performance, and business trade-offs made explicit..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
## Purpose Raw accuracy metrics are not enough. Evaluation must reflect the actual business impact and failure modes of the model; this standard turns metrics into a report a stakeholder can act on. ## When to Use - Producing an evaluation report for a trained model - Reviewing a report that quotes a single headline metric - A go/no-go decision depends on understanding error costs ## Inputs - Model predictions on a held-out set - Business context: cost of errors, key user/customer segments ## Workflow 1. **Beyond accuracy**: include the confusion matrix; report Precision, Recall, and F1; explain the cost of a False Positive vs a False Negative in the business context. 2. **Slice analysis**: report performance on key segments. A model can be 95% accurate overall but only 40% accurate on new users. 3. **Calibration**: if the model outputs probabilities, verify they are calibrated — a prediction of 0.8 should come true about 80% of the time. 4. **Format as a Markdown report** that a non-technical stakeholder can read, highlighting trade-offs and worst-case scenarios. ## Output …
Read the whole file at its exact version.
How to install
mdr add yeaight7/agent-powerups/model-evaluation-reporting@git:20260605.687eb4amdr add yeaight7/agent-powerups/model-evaluation-reporting@sha256:9a1dba884f30894ePin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_eyb2lypml2uk7ncq)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260605.687eb4a latest | 2026-06-05 | 687eb4a | 2,185 B | A | view · diff |
| git:20260502.9bb8dc1 | 2026-05-02 | 9bb8dc1 | 924 B | A | view · diff |
| git:20260502.2439953 | 2026-05-02 | 2439953 | 147 B | B | 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 (2185 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
yeaight7/agent-powerups · 6 stars · license Apache-2.0 · pushed 2026-09-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_eyb2lypml2uk7ncq GET https://markdownregistry.com/api/v1/resolve?ref=yeaight7/agent-powerups/model-evaluation-reporting GET https://markdownregistry.com/api/v1/blob/9a1dba884f30894e41a0e9de3bab6955a955c53b9b9474af35c04494501644ce
Your agent 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.