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Audit or design agent-facing product capabilities: action/context parity, discoverable contracts, safe mutations, verifiable outcomes, and recovery. Use for explicit agent-readiness reviews of apps, repos, CLIs, APIs, MCP/A2A integrations, or Agent Skills; not every general code or documentation task.

Use this Skill: https://skilld.dev/gh/tristanmanchester/agent-skills/agent-use

Nothing lands on disk. Nothing to clean up.

Fork this Skill

Edit a local copy. It keeps the author and licence.

referencesapp-ui-and-workspace-readiness.md

≈466 tokens on demand. Your agent reads this file only when SKILL.md points to it.

App UI and workspace readiness

Use this when auditing or designing products where humans use an app UI but agents also need to act.

Action parity

Inventory every important button, form, menu action, bulk action, import/export, approval, destructive flow, and configuration change. Then map each to a stable agent path. Browser automation is a fallback, not a durable contract.

Agent paths can be API endpoints, CLI commands, SDK methods, MCP/tools, files, or controlled background tasks. The path must expose all required parameters and validation rules, return IDs/links, and offer verification.

Context parity

Agents need access to current workspace, selected project, active filters, table data, chart underlying data, object IDs, permissions, limits, validation rules, recent activity, and current user intent. Avoid hiding decisive state only in the DOM, canvas, screenshot, hover tooltip, modal, or client-only store.

Shared workspace

Agent outputs should land where users can inspect and edit them: records, drafts, comments, files, tickets, branches, pull requests, notebooks, or artifacts. The UI should reflect agent mutations through shared state, event streams, polling, or file watching.

Prompt-native product patterns

Some features are better expressed as agent goals and policies than as rigid UI forms. Capture latent demand from user prompts, expose capability hints, and let useful repeated prompts graduate into templates, skills, or product affordances.

Review red flags

  • Agent can chat but cannot perform core CRUD.
  • Agent can mutate but user cannot see what changed.
  • Agent has stale or incomplete runtime context.
  • UI has exportable data but no API/CLI/tool equivalent.
  • Approval prompts lack diff, target IDs, side effects, or rollback plan.
  • Multi-step work has no checkpoint, resume, or cancellation.

Source: SKILL.md on GitHub

skilld matched fixed text patterns in SKILL.md and file names. Patterns miss obfuscated code.

skilld run checks every file with the same patterns. It asks for approval before it loads a Skill with a behavior marked Needs approval.

1 warning1mo3 checks · Risk SAFE
  • Gen Agent Trust Hub1mo

    The skill 'agent-use' is a comprehensive toolkit for auditing and designing agent-ready systems. It includes documentation, templates, and Python scripts for scanning repositories and websites. Security analysis found no malicious intent; identified network and command execution patterns are aligned with the skill's primary purpose as an auditing tool.

  • Socket1mo

    1 alert: gptAnomaly

  • Snyk1mo

    Risk: LOW · No issues

Signed by skilld at 3323bc9. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 weeks ago.

Steadyupdated last month
metadata
{
  "version": "3.0.0",
  "reviewed": "2026-09-13"
}
Other metadata
compatibility
Local helper scripts require Python 3.10+; structural validation also requires PyYAML 6.0.3 or later in major 6. Network and execution checks need separately authorised tools and environments.

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