deepeval-evaluation SKILL.md skillA
deepeval-evaluation from testland/qa is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add testland/qa/deepeval-evaluation@git:20260724.d4db756Pins git:20260724.d4db756 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- testland/qa
- Path
plugins/qa-llm-evaluation/skills/deepeval-evaluation/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260724.d4db756, committed Jul 24, 2026
- First version recorded
- Jun 3, 2026
- Size
- 6,837 bytes
- Repository stars
- 11
- License
- MIT
Authors and runs DeepEval - pytest-native LLM eval framework with `LLMTestCase` (input + actual_output + expected_output + retrieval_context) and ~11 built-in metrics (G-Eval, Answer-Relevancy, Faithfulness, Contextual-Recall / Precision / Relevancy, Hallucination, Bias, Toxicity, Summarization, JSON-Correctness); runs via `deepeval test run {file.py}` with `assert_test()` per test or `evaluate()` for batch; integrates Confident-AI dashboard. Use when the user prefers pytest workflow, works…
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
# deepeval-evaluation ## Overview [de-gh]: https://github.com/confident-ai/deepeval [de-start]: https://deepeval.com/docs/getting-started Per [de-start][de-start], DeepEval is "an open-source LLM eval package" enabling "evaluation of LLM applications locally through test cases and metrics." The model: each test constructs an `LLMTestCase`, applies one or more `Metric` instances, and either asserts (`assert_test`) or batch-evaluates (`evaluate`). Pytest discovery + reporting works unchanged. ## When to use - The repo already uses pytest; LLM tests should live alongside unit tests. - The user works with RAG and needs Faithfulness / Contextual-* metrics without writing them from scratch. - The team wants a managed dashboard (Confident-AI) for regression tracking + prompt-vs-prompt comparison. - Programmatic test-case authoring (data-driven from a CSV/JSONL) is needed and pytest fixtures fit better than YAML config. ## Step 1 - Install Per [de-gh][de-gh] and [de-start][de-start]: ```bash pip install -U deepeval ``` Optional Confident-AI login (for dashboard): ```bash deepeval login ``` Per [de-start][de-start]: after login "Confident AI will generate …
Read the whole file at its exact version.
How to install
mdr add testland/qa/deepeval-evaluation@sha256:830342909cce65e8The line at the top of this page pins the label git:20260724.d4db756, 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_pkj7muleuf24ftud)
1 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jun 3, 2026 and Jul 24, 2026, about one every 13 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260724.d4db756 latest | 2026-07-24 | d4db756 | 6,837 B | A | view · diff |
| git:20260720.32b13bd | 2026-07-20 | 32b13bd | 6,941 B | A | view · diff |
| git:20260718.ab29907 | 2026-07-18 | ab29907 | 6,941 B | A | view · diff |
| git:20260706.4e1409c | 2026-07-06 | 4e1409c | 7,032 B | A | view · diff |
| git:20260603.21eda0e | 2026-06-03 | 21eda0e | 7,049 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 (6837 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
testland/qa · 11 stars · license MIT · pushed 2026-10-20 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_pkj7muleuf24ftud GET https://markdownregistry.com/api/v1/resolve?ref=testland/qa/deepeval-evaluation GET https://markdownregistry.com/api/v1/blob/830342909cce65e834b4039420dd451fa2177f5903e92571ee31b7322f46961f
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.