eval-workflow SKILL.md skillA
eval-workflow from jmagly/aiwg is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jmagly/aiwg/eval-workflow@git:20260430.89074a2Pins git:20260430.89074a2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jmagly/aiwg
- Path
agentic/code/addons/aiwg-evals/skills/eval-workflow/SKILL.md- Versions recorded
- 5
- Latest version
- git:20260430.89074a2, committed Apr 30, 2026
- First version recorded
- Apr 1, 2026
- Size
- 4,223 bytes
- Repository stars
- 229
- License
- MIT
Run evaluation tests against a multi-agent workflow to assess orchestration quality and failure archetype resistance.
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
# Workflow Evaluation Run automated evaluation tests against a multi-agent workflow. ## Research Foundation - **REF-001**: BP-9 - Continuous evaluation of agent performance - **REF-002**: KAMI benchmark methodology for real agentic task evaluation ## Usage ```bash /eval-workflow flow-security-review-cycle /eval-workflow flow-inception-to-elaboration --scenario distractor-test /eval-workflow flow-deploy-to-production --verbose --strict ``` ## Arguments | Argument | Required | Description | |----------|----------|-------------| | workflow-name | Yes | Workflow (flow command) to evaluate | ## Options | Option | Default | Description | |--------|---------|-------------| | --scenario | all | Specific scenario to run | | --verbose | false | Show detailed test output | | --output | stdout | Output file for results | | --strict | false | Fail on any test failure | | --timeout | 300 | Maximum seconds per scenario | ## What Gets Evaluated ### Orchestration Quality - **Agent coordination**: Parallel agents launched correctly in single message - **Handoff fidelity**: Artifacts pass correctly between phases - **Gate enforcement**: Phase gates checked before transition …
Read the whole file at its exact version.
How to install
mdr add jmagly/aiwg/eval-workflow@sha256:728eba1ece77dd5eThe line at the top of this page pins the label git:20260430.89074a2, 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_g5rdk2lkizk37fk2)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Apr 1, 2026 and Apr 30, 2026, about one every 7 days. Its first recorded version is graded B and its latest A.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260430.89074a2 latest | 2026-04-30 | 89074a2 | 4,223 B | A | view · diff |
| git:20260404.f8108b9 | 2026-04-04 | f8108b9 | 4,203 B | B | view · diff |
| git:20260404.b3a6531 | 2026-04-04 | b3a6531 | 4,187 B | B | view · diff |
| git:20260402.b8e0da2 | 2026-04-02 | b8e0da2 | 3,628 B | B | view · diff |
| git:20260401.2673540 | 2026-04-01 | 2673540 | 3,611 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 (4223 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
jmagly/aiwg · 229 stars · license MIT · pushed 2026-11-07 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_g5rdk2lkizk37fk2 GET https://markdownregistry.com/api/v1/resolve?ref=jmagly/aiwg/eval-workflow GET https://markdownregistry.com/api/v1/blob/728eba1ece77dd5e1e8084955fae6b8447f4f0af90edac4d454f9aeb47a64545
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.