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BF add-sample-data

Use when the user wants to seed Dataverse tables with realistic sample records so a freshly-scaffolded code app shows real-looking data on first launch. Generates contextually appropriate rows from each table's schema and inserts them in dependency order. Mirrors microsoft/power-platform-skills/power-pages/add-sample-data, adapted for mobile apps.

microsoft/power-platform-skills Agent Skills author: microsoft 1 file body ≈ 8 802 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Generates contextually appropriate rows from each table's schema and inserts them in dependency order.

As a process F 48/100 · Will not run — References files that are not bundled: ${PLUGIN_ROOT}/shared/shared-instructions.md, ${PLUGIN_ROOT}/shared/references/screen-templates.md, ../add-dataverse/SKILL.md

ProcedureSoftware developmentWriting and documentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
95
Quality 40%
57
Run on models
none yet
Process rating
F
48/100
Will not run
References files that are not bundled: ${PLUGIN_ROOT}/shared/shared-instructions.md, ${PLUGIN_ROOT}/shared/references/screen-templates.md, ../add-dataverse/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Broad scope medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.

For the author

Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 1

✓ No critical or high findings

Medium and low: 1
  • medium Broad scope meta-broad-allowed-tools SKILL.md:1
    Broad tool permissions pre-approved: Bash
    allowed-tools: Read Edit Write Grep Glob Bash AskUserQuestion

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 8802 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ${PLUGIN_ROOT}/shared/shared-instructions.md
  • warning missing-ref reference to a missing file: ${PLUGIN_ROOT}/shared/references/screen-templates.md
  • warning missing-ref reference to a missing file: ../add-dataverse/SKILL.md
  • warning missing-ref reference to a missing file: ../add-dataverse/references/dataverse-reference.md
  • warning missing-ref reference to a missing file: ../add-dataverse/references/dataverse-reference.md
  • warning missing-ref reference to a missing file: ../../scripts/dataverse-request.js
  • warning missing-ref reference to a missing file: assets/sample-*
  • warning missing-ref reference to a missing file: assets/images/asset-manifest.json
  • warning missing-ref reference to a missing file: assets/sample-media/asset-manifest.json
  • warning missing-ref reference to a missing file: references/dataverse-reference.md
  • warning missing-ref reference to a missing file: scripts/dataverse-request.js

Process rating: all ten parameters 48/100

Will not run. References files that are not bundled: ${PLUGIN_ROOT}/shared/shared-instructions.md, ${PLUGIN_ROOT}/shared/references/screen-templates.md, ../add-dataverse/SKILL.md
  • 0Tools and files. 11 referenced file(s) missing: ${PLUGIN_ROOT}/shared/shared-instructions.md, ${PLUGIN_ROOT}/shared/references/screen-templates.md, ../add-dataverse/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 40Execution cost. Instruction body is 8802 tokens: crowds the task out of the window
  • 70When it triggers. States when to use, but not when not to
  • 85Steps. 83 steps, 3 vague phrases
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • high The skill tells the model to perform an irreversible action with no human approval
  • low The response is described with custom markup (19 tags): a typed call is more reliable

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 349: enough signal without eating the budget
  • +4Structure: 25 headings
  • +3Step-by-step instructions: 83 items
  • +4Has examples (19 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 57.