project-ployglot-project-scafford

Security Community
Interpretation is structured for decision-making; original keeps the upstream SKILL.md unchanged.

Decide Fit First

  • Core job: Scaffold a polyglot library project as TypeScript + Python twin packages under packages/ts/ + packages/py/, with a shared `S…
  • Best fit: Use it when the task has reusable inputs, steps, and validation criteria rather than a one-off answer.
  • Avoid forcing it: If the source lacks commands, platform support, or external-service evidence, keep those fields unknown instead of guessing.

Design Intent

  • Structure: The skill is organized around “When to use this skill”, “Reference structure”, “Placeholders”, “Workflow”, showing how the author expects the agent to judge fit, collect context, and produce verifiable output.
  • Trigger evidence: Prioritize the author’s wording around when to use it, what context to collect, and what output shape to produce.
  • Evidence boundary: Author text states facts, repository files prove commands and paths, and Fluxly only adds fit, limits, and usage judgment.

How To Use It

  • Inputs: Provide target material, scope, expected result, forbidden changes, and validation method.
  • Invocation: Name project-ployglot-project-scafford directly; if the source includes slash commands, start with the command and then add task context.
  • Validation: Start small and check whether the result follows “When to use this skill / Reference structure / Placeholders” before expanding.

Boundaries And Review

  • Dependencies: It usually needs no extra API key, so start with a small validation task.
  • Permissions: Declared permissions include read / write; ask the agent to state file, command, and rollback boundaries before acting.
  • Quality bar: A useful result names the deliverable, evidence, and next action. Generic prose means the task needs tighter context.
Fluxly profile Author and license come from source; runtime, permissions, and network are Fluxly detections or estimates
Fluxly category
Security
Author-declared agents
No explicit declaration found; this is not inferred or tested compatibility
Static check
88 / 100 · heuristic scan, not runtime safety proof
Author / version / license
@tomevault-io · no license declared
Fluxly token estimate
Lean
Fluxly setup estimate
Guided setup
External API key
No requirement detected
Detected OS requirements
macOS · Linux · Windows
Runtime requirements
Node.js · Python
Detected file/system behavior
  • Read-only
  • Write / modify
Detected network behavior
Local-only
Install commands
None (reference only)

Profile is derived at build time from SKILL.md and install vectors. Subject to drift from author intent.

Heads up: 未限定 allowed-tools,默认拥有全部工具权限。

Output preview project-ployglot-project-scafford.preview
# Step 5 — Write parity + examples scaffolding

| Source | Target | | -------------------------------------------- | --------------------------------------- | | `tests-parity/fixtures.json` | `tests/parity/fixtures.json` | | `examples/README.md` | `examples/README.md` | | `examples/sdk-README.md` | `examples/sdk/README.md` | | `examples/api-README.md` | `examples/api/README.md` | The `examples/sdk/01-<scenario>.md` and `examples/api/01-<entry>.md` files are deliberately not auto-generated — they describe **specific behavior** of the user's library, which this skill does not know. The `examples/{sdk,api}/README.md` files include a "How to ad

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