Home / openqa-cn / codexqa · skills/codexqa-testdata-generator/references/case-data-material-planner/SKILL.md · GitHub

case-data-material-planner skillA

case-data-material-planner is agent-read markdown (skill) from openqa-cn/codexqa: Prepares executable case preconditions and case-executable.md from a requirement or written cases. Internal case-material engine; enter through codexqa-testdata-generator so SKILL_DIR and adapters resolve..

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

# case-data-material-planner

One-stop material engine between case authoring and case execution.

- Build an optional business-context graph from requirements
- Parse entities and actions from each case
- Construct data and bind commands through adapters
- Emit `case-executable.md`

## How the work is divided

`scripts/pipeline.ts` owns orchestration. You supply judgment at three points
only — `parse-case`, `knowledge-build`, and `select-tool` — and the script does
construction, binding, linting, and writeback. This split exists because those
three stages need reading comprehension while the rest must be reproducible: a
case re-run tomorrow has to yield the same manifest, which is impossible if a
model re-derives each step. So when the runner exits asking for one of the three,
launch that Agent, merge its patch, and `--resume`; do not take over a stage the
script already implements (`invoke_entity.ts`, `bind_action.ts`,
`slot_render.ts`), and with 2+ cases go through the dispatcher so each case gets
its own `pipeline.ts` process.

## Hard constraints

These are the ones that silently corrupt output rather than failing loudly,
which is why they are worth stating:
…

Read the whole file at its exact version.

How to install

Latest version
mdr add openqa-cn/codexqa/case-data-material-planner@git:20260921.32a4af3
Exact content
mdr add openqa-cn/codexqa/case-data-material-planner@sha256:a71383f69cc52997

Pin 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_vqdagkx2gjii35oa.svg)](https://markdownregistry.com/a/art_vqdagkx2gjii35oa)

1 badge views in 30 days

Versions

versioncommittedcommitsizeaudit
git:20260921.32a4af3 latest2026-09-21 32a4af3 8,700 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8700 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

GitHub

openqa-cn/codexqa · 8 stars · license Apache-2.0 · pushed 2026-09-23 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_vqdagkx2gjii35oa
GET https://markdownregistry.com/api/v1/resolve?ref=openqa-cn/codexqa/case-data-material-planner
GET https://markdownregistry.com/api/v1/blob/a71383f69cc52997ac7e8430d476996e48ce73be036c5cce2abc7130c6c90dd7

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.

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