Lab verified

Skill of the Day: Give Every Agent Task a Fixed Output Path

Skill of the Day: Give Every Agent Task a Fixed Output Path Today's skill is simple: every agent task that produces an artifact should have a fixed outpu…

Skill of the Day: Give Every Agent Task a Fixed Output Path

Verification report

Skill of the Day: Give Every Agent Task a Fixed Output Path

Today's skill is simple: every agent task that produces an artifact should have a fixed output path.

Many agent tasks fail not because the model is incapable, but because the delivery target is too soft. “Write a science article” sounds clear to a human, but it gives the system no hard acceptance point. A better task says: write the draft to /reports/daily-pipeline/drafts/science-xxx.md; the file must include frontmatter, three-locale titles, excerpts, body content, a risk checklist, and next steps. After completion, the controller must run ls -la and wc -l.

This skill fits any artifact-producing task: documents, reports, SQL drafts, QA verdicts, cover manifests, and publishing checklists. It is less useful for open discussion or early brainstorming, where flexibility matters. But once the work moves into execution, “please complete this” should become “please write this file and make it host-verifiable.”

Checklist:

  • Give each task one primary output path.
  • Use an absolute path.
  • Include date, task name, and track in the filename.
  • Specify a minimum byte count or line count.
  • Require raw host-side ls / wc output as success evidence.
  • Treat the agent's natural-language conclusion as supporting context, never primary PASS evidence.

The value is reduced ambiguity. No file means not done. A tiny file means not acceptable. A real file with weak content goes to QA. Once the boundary is clear, the whole team becomes easier to operate.

How to use it

Follow the documented steps in an isolated environment before adopting the skill.

Observed result

The laboratory records reproducible outcomes and keeps unverified claims out of the result.

Pitfalls

Check permissions, inputs, rollback steps and evidence before applying the skill.

Good fit

Use when the environment and evidence match the conditions described in this report.

Not a fit

Do not use when required evidence, isolation or rollback controls are unavailable.