Tue 8 Sep 2026 EN ES
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Audit Work Tool Skills Before They Save—or Waste—Your Office Workflow

Before enabling a work tool skill, check its instructions, exposed tools, permissions, and prompt overhead against the manual route.

Illustration: Audit Work Tool Skills Before They Save—or Waste—Your Office Workflow

Start with the first concrete trap: apply_patch’s no-JSON rule. The bench inventory gives the audit scale: 232 tool interfaces, 44 main skill files, 223 registry tools, and 9 direct session controls. Tools are callable endpoints; a work tool skill is a reusable instruction package that guides how those tools are used. A pass means the definition file predicts the output and the tool list covers the required actions; a fail means the skill adds ceremony to a task you already know how to do.

The danger is that a skill can sound like a win while quietly becoming a prompt tax. If the manual route is already short, the skill has to earn its keep. That is why an audit matters: it turns a vague “this looks useful” into a decision you can defend.

What you are actually auditing

A skill is not the same as the tools it may call. The reference contains the tool list and the main skill files. Each skill page is a verbatim copy of its main definition file. You are reading the instructions the model will follow, including the parts that sound boring but determine whether the output is usable.

The tool side is equally important. The tool reference describes what each tool can do. It keeps the exposed descriptions and TypeScript declarations. If a skill asks for a capability, the tool description is where you learn whether the model can do it cleanly or whether it will improvise around a missing capability.

Availability is not fixed; it can change with session configuration and permissions. It is the difference between a workflow that runs and a workflow that produces a polite error message.

The five-point skill audit

Use this audit before you enable a skill for a recurring office task. Keep it short enough that you will actually do it, and specific enough that you can compare skills against each other.

  1. Name the workflow. Pass if the definition file’s trigger and expected inputs match one sentence: who uses it, what input arrives, what output is needed, and what “done” looks like.
  2. Read the skill’s main definition file. Pass if the file is clear enough to predict the trigger, expected inputs, steps, output format, and failure behavior.
  3. Map the tools it calls. Pass if the tool reference covers the required actions for every tool the skill expects.
  4. Confirm availability and permissions. Pass if the session exposes the required tools and the user has the needed permission.
  5. Compare prompt overhead against a manual prompt. Pass if the skill’s expected prompt reduces repetition without adding ceremony compared with the shortest manual prompt that would get a usable result.

Decision rule: enable a skill for a limited scope only when it passes all five checks; otherwise fix the specific failure, drop the skill, or keep the manual prompt.

The fifth step separates a useful skill from a decorative one. A skill should reduce the distance between request and output, not turn a simple task into a form. If the manual prompt is already short, the skill must offer consistent structure, safer tool use, fewer follow-ups, or a repeatable format.

How to decide what to enable

Start with one workflow, not a whole department. Pick a task that is frequent enough to matter and annoying enough that you will notice the difference. Run the audit on a small set of skills, not a large one. A shortlist is easier to judge than a catalog.

For each skill, record the result in plain language. A note can describe a useful practice, but “Maybe” is not. Apply the decision rule once, then watch for the first real failure.

The goal is not to collect skills. It is to build a small set of work tool skills that make office workflow faster, more consistent, and easier to explain. A good skill should feel like a well-labeled tool: you know what it does, when to use it, and are not surprised when you do. Lab verdict: apply the decision rule to the opening trap. If the definition file cannot predict the output, or the tool list cannot cover the required actions, the skill is prompt tax, not workflow savings.

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