model-evaluation-reporting SKILL.md skillA
model-evaluation-reporting from yeaight7/agent-powerups is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add yeaight7/agent-powerups/model-evaluation-reporting@git:20260605.687eb4aPins git:20260605.687eb4a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- yeaight7/agent-powerups
- Path
plugins/machine-learning-ops/skills/model-evaluation-reporting/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260605.687eb4a, committed Jun 5, 2026
- First version recorded
- May 2, 2026
- Size
- 2,185 bytes
- Repository stars
- 8
- License
- Apache-2.0
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.
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
## 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@sha256:9a1dba884f30894eThe line at the top of this page pins the label git:20260605.687eb4a, 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_eyb2lypml2uk7ncq)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between May 2, 2026 and Jun 5, 2026, about one every 17 days. Its first recorded version is graded B and its latest A.
| 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 · 8 stars · license Apache-2.0 · pushed 2026-09-27 · 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 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.
More from yeaight7/agent-powerups
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