nw-agent-evals SKILL.md skillA
nw-agent-evals from nwave-ai/nwave is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add nwave-ai/nwave/nw-agent-evals@git:20261102.c67d57bPins git:20261102.c67d57b in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- nwave-ai/nwave
- Path
nWave/skills/nw-agent-evals/SKILL.md- Versions recorded
- 1
- Latest version
- git:20261102.c67d57b, committed Nov 2, 2026
- Size
- 11,964 bytes
- Repository stars
- 633
- License
- MIT
Lightweight eval method for testing nWave AGENTS and SKILLS (LLM behavior) as a lean alternative to heavy BDD/ATD. An eval = one prompt -> one captured run (trace + artifacts) -> a small set of checks -> a comparable score over time. Load when validating agent behavior, building a regression net for an agent/skill, or reducing agent-test bloat.
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
# Agent Evals ## Why this exists Agents are LLMs — non-deterministic. Traditional BDD/unit testing tests them *badly* and breeds bloat (measured: 294K test LOC, 5.5:1 test:src, step reuse 1.10x vs >=4x target). Evals are the lean way to verify agent behavior: a few targeted signals instead of a monolithic spec. This skill is the **antithesis of ATD over-specification**. Keep it small. The anti-pattern is up-front exhaustive specification — that IS the bloat. | | `nw-agent-testing` (sibling skill) | `nw-agent-evals` (this skill) | |---|---|---| | Form | static 5-layer manual checklist | executable dataset + grader + score over time | | Use | one-shot design review of a spec | repeatable regression net for behavior | | Output | pass/fail judgement | comparable score, trend across runs | Use both: `nw-agent-testing` to vet the spec, `nw-agent-evals` to watch behavior over time. ## What an eval is One eval = **prompt -> run -> checks -> score**. - **prompt** — a single input that should (or should NOT) trigger the agent/skill. - **run** — one provider turn through the selected nWave adapter, with its available native evidence and artifacts captured. …
Read the whole file at its exact version.
How to install
mdr add nwave-ai/nwave/nw-agent-evals@sha256:727b3c6949147bbdThe line at the top of this page pins the label git:20261102.c67d57b, 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_rs6pnpe63kxlbewk)
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Versions
The registry has recorded 1 version of this file, committed on Nov 2, 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 (11964 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
nwave-ai/nwave · 633 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_rs6pnpe63kxlbewk GET https://markdownregistry.com/api/v1/resolve?ref=nwave-ai/nwave/nw-agent-evals GET https://markdownregistry.com/api/v1/blob/727b3c6949147bbdda9313f82c239129ad46bd4956b4a10d8dbdccb9390ce356
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.