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/omh-skill-scout

[omh] Existing skills to reuse before authoring: prepare a metadata-only search-before-creation report for local, marketplace, GitHub, and web skill candidates with risk review and adoption options. Use when the user says: skill-scout, skill scout, skill candidate, skill

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oh-my-hermes
3.2k145 skills
Install
$ npx -y skills add rlaope/oh-my-hermes --skill omh-skill-scout --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/omh-skill-scout

Context preview

The summary Claude sees to decide when to auto-load this skill.

[omh] Existing skills to reuse before authoring: prepare a metadata-only search-before-creation report for local, marketplace, GitHub, and web skill candidates with risk review and adoption options. Use when the user says: skill-scout, skill scout, skill candidate, skill

SKILL.md

omh-skill-scout.SKILL.md
name: "omh-skill-scout"
description: "[omh] Existing skills to reuse before authoring: prepare a metadata-only search-before-creation report for local, marketplace, GitHub, and web skill candidates with risk review and adoption options. Use when the user says: skill-scout, skill scout, skill candidate, skill candidate search, skill discovery, find a skill, find skills, top skills."
metadata:
  hermes:
    tags: [workflow, oh-my-hermes, operations]
    category: operations
    phase: skill-scout
    role: operator
    quality_tier: workflow-surface-gated

Skill Scout

This is a Hermes-native `skill-scout` workflow skill.

Why This Exists

`skill-scout` exists so Hermes users can ask for this workflow in chat and get a structured, checkable answer instead of an improvised one.

Do Not Use When

  • The request is already handled by a narrower explicit skill with stronger evidence.
  • The user asks OMH to secretly run external platforms, connectors, schedulers, file exports, or runtime agents.
  • The only safe answer is to ask for missing authority, credentials, target, or observed evidence first.

Examples

Good example:

  • Prompt: skill-scout find existing skill candidates before we create a release-note workflow skill.
  • Expected behavior: Produce `prepare_skill_scout` with required context, wrapper actions, and not-evidence boundaries.
  • Why: The prompt names a real workflow surface that Hermes can orchestrate without hiding execution.

Bad example:

  • Prompt: skill-scout install the best GitHub skill and copy it into the marketplace without review.
  • Expected behavior: Report the missing observed evidence or authority instead of claiming the external step happened.
  • Why: Prepared OMH guidance is not platform, runtime, connector, file, memory, or delivery evidence.

Completion Checklist

  • Intent, keywords, source scope, and stop condition are explicit.
  • Local and external search evidence is separated from planned search.
  • No install, copy, write, credential, or trust claim is made without observed review or implementation.

Recovery Notes

  • If the request is about setup or installed skill repair, route to doctor.
  • If the request is a portfolio health dashboard, route to skill-health.
  • If the request is an approved skill mutation or creation task, route to skill or implementation after the scout decision.

Workflow Lane

  • Current lane: **Automation and status** (`achievements`, `workspace-audit`, `production-audit`, `live-incident-response`, `automation-blueprint`, `github-event-ops`, `github-issue-intake`, `buzz`, `+39 more`) - schedules, status, health, and ops review.
  • If intent belongs to another lane, hand back to `oh-my-hermes` or name the adjacent workflow.
  • Shared product, routing, compatibility, and evidence rules: `omh-routing/references/skill-common-rail.md`.

Use When

Use before creating or adapting a skill so OMH can compare existing local, marketplace, GitHub, or web candidates without installing, copying, or trusting them by default.

Strong routing signals: `skill-scout`, `skill scout`, `skill candidate`, `skill candidate search`, `skill discovery`, `find a skill`, `find skills`, `top skills`, `popular skills`, `famous hermes skills`, `useful hermes skills`, `hermes skills/plugin`, `skills/plugin`, `agentskills.io top skills`, `is there a skill`, `existing skill`, `fork a skill`, `extend a skill`, `create skill after search`, `new skill search`, `skill adoption`, `스킬 스카우트`, `스킬 후보`, `스킬 찾기`, `스킬 검색`, `스킬 만들기 전`, `유명한 hermes skills`, `유명한 hermes skill`, `유용한 hermes skills`, `스킬 플러그인 후보`, `플러그인 찾아`, `플러그인 비교`, `없는 것 설치할지 비교`, `기존 스킬`

Catalog Metadata

Category: `operations` Phase: `skill-scout` Hermes role: `operator` Quality tier: `workflow-surface-gated` Reasoning demand: `light`

Quality bar:

  • Name the user-facing workflow objective, required context, next action, and stop condition.
  • Separate prepared guidance from observed platform, runtime, connector, file, memory, or delivery evidence.
  • Expose missing tools, credentials, targets, or observations as user-visible gaps.

Handoff policy:

Keep this as Hermes-facing orchestration guidance first. Prepare executor, connector, gateway, or host-runtime handoff only when the user accepts that next step and observed evidence can be recorded.

Required inputs:

  • user request
  • target context
  • delivery or status expectation
  • known missing evidence

Expected outputs:

  • skill_scout_query/v1
  • local_skill_candidate_inventory/v1 when observed
  • external_skill_candidate_risk_review/v1 when observed
  • awesome_hermes_agent_coverage/v1 for upstream ecosystem comparison when requested
  • skill_adoption_decision_matrix/v1
  • skill_scout_recommendation/v1

Artifact expectations:

  • skill_scout_query/v1 with intended workflow, triggers, domains/tools, and search keywords
  • local_skill_candidate_inventory/v1 separating installed, bundled, marketplace, and repo-local matches when observed
  • awesome_hermes_agent_coverage/v1 mapping upstream ecosystem entries to OMH covered, partial, or missing_candidate coverage statuses, matched OMH surfaces, rule_set_version, and matched_rule_id
  • skill_adoption_decision_matrix/v1 ranking use existing, fork or extend, and create fresh options with trust gaps

Safety rules:

  • A skill scout report is not skill installation, external source trust, marketplace mutation, file copy, network retrieval, credential use, implementation, review, CI, or proof that a candidate is safe to adopt.
  • Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.

Runtime Evidence

Preferred harness for this skill: `skill-scout`.

omh runtime record --skill skill-scout --harness skill-scout --status started

Record observed delegation results; otherwise return `not_available` or `not_observed`. Prepared OMH routing is not execution, review, CI, merge-readiness, or merge evidence.

  • Treat wrapper me
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Python
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MIT
License
4h ago
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4mo ago
Created
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Repo: rlaope/oh-my-hermes

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