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/agent-use

@3323bc9
by Tristan Manchestertristanmanchester/agent-skills3 stars
2
Run it yourself

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.

referencessource-map.md

≈491 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Source synthesis and standards map

This skill synthesizes three groups of material.

1. Deprecated Compound agent-native skills supplied by the user

Preserved concepts:

  • Action parity and context parity.
  • Shared workspace architecture.
  • Tools as primitives and justified workflow tools.
  • Dynamic context injection.
  • Noun-test/CRUD completeness thinking.
  • UI integration and visible agent mutations.
  • Capability discovery.
  • Prompt-native behavior.
  • Files as universal interface.
  • Mobile/background/checkpoint constraints.
  • Self-modification guardrails.
  • Product feedback loops and latent demand.
  • Parallel audit structure and scored findings.

2. Current public web/agent-readiness practices

Mapped into this skill:

  • Website/docs readiness dimensions: discovery, content readability, capability exposure, access/safety, and maintenance.
  • llms.txt as a concise markdown entry point for LLM-friendly documentation.
  • API catalog discovery through /.well-known/api-catalog using Linkset JSON.
  • OAuth/OIDC protected-resource and authorization-server metadata for agent-accessible protected APIs.
  • MCP discovery through /.well-known/mcp.json and tool/server cards.
  • Agent skills indexes and A2A-style agent cards where applicable.

3. Agent-facing interface design patterns

Mapped into this skill:

  • CLI/TUI machine mode: non-interactive operation, JSON output, stdout/stderr separation, schema introspection, stable exit codes, and bounded output.
  • API/SDK contracts: OpenAPI/GraphQL/JSON Schema/Protobuf, auth scopes, pagination, idempotency, rate limits, errors, sandbox, webhooks/events, and versioning.
  • Tool design: precise names/descriptions, typed schemas, bounded outputs, resource/context separation, prompts/recipes, preview/approval for dangerous actions, stable error envelopes.
  • Evaluation: task-level success, baseline comparison, final-state assertions, recovery paths, safety checks, and regression tests.

Source: SKILL.md on GitHub

Skill behaviors

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.

Third-party checks

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

Provenance

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

Capability

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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