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/omh-instinct-ledger

[omh] Recurring lessons worth promoting: turn repeated project or cross-project lessons into atomic, confidence-scored instinct candidates with scoped promotion and export boundaries. Use when the user says: instinct-ledger, instinct ledger, project instincts, project-scoped

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oh-my-hermes
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Install
$ npx -y skills add rlaope/oh-my-hermes --skill omh-instinct-ledger --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-instinct-ledger

Context preview

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

[omh] Recurring lessons worth promoting: turn repeated project or cross-project lessons into atomic, confidence-scored instinct candidates with scoped promotion and export boundaries. Use when the user says: instinct-ledger, instinct ledger, project instincts, project-scoped

SKILL.md

omh-instinct-ledger.SKILL.md
name: "omh-instinct-ledger"
description: "[omh] Recurring lessons worth promoting: turn repeated project or cross-project lessons into atomic, confidence-scored instinct candidates with scoped promotion and export boundaries. Use when the user says: instinct-ledger, instinct ledger, project instincts, project-scoped instincts, project scoped instincts, global instincts, instinct review, instinct candidate."
metadata:
  hermes:
    tags: [workflow, oh-my-hermes, optimization]
    category: optimization
    phase: instinct-ledger
    role: tracker
    quality_tier: workflow-surface-gated

Instinct Ledger

This is a Hermes-native `instinct-ledger` workflow skill.

Why This Exists

`instinct-ledger` 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: instinct-ledger turn these repeated OMH review lessons into project-scoped instincts and show which ones could be promoted globally.
  • Expected behavior: Produce `prepare_instinct_ledger` 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: instinct-ledger silently install hooks, learn from every prompt, and mutate all skills globally.
  • 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

  • Each instinct is atomic: one trigger, one action, one scope, confidence, evidence refs, and review state.
  • Project-specific conventions, global practices, project/global promotion candidates, imports, and exports are separated.
  • No hooks, memory writes, skill edits, global promotion, import/export, or behavior-change claims are made without observed approval and implementation evidence.

Recovery Notes

  • If the request is a single missed route or run trace, route to workflow-learning first.
  • If the request is to mutate durable rules, prompts, skills, or AGENTS guidance, route to rules-distill or implementation after review approval.
  • If evidence comes from a stuck run, use agent-debug before converting lessons into instincts.

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 when Hermes should review repeated observations, user corrections, workflow lessons, or failure patterns as atomic project-scoped or global instinct candidates with confidence, evidence, promotion, import, or export decisions.

Strong routing signals: `instinct-ledger`, `instinct ledger`, `project instincts`, `project-scoped instincts`, `project scoped instincts`, `global instincts`, `instinct review`, `instinct candidate`, `instinct candidates`, `instinct promotion`, `promote instinct`, `promote learning`, `confidence scored learning`, `confidence-scored learning`, `project learning patterns`, `cross-project learning`, `export instincts`, `import instincts`, `학습 본능`, `프로젝트별 학습`, `프로젝트 스코프 학습`, `전역 학습 승격`, `학습 승격`, `학습 패턴 승격`

Catalog Metadata

Category: `optimization` Phase: `instinct-ledger` Hermes role: `tracker` Quality tier: `workflow-surface-gated` Reasoning demand: `heavy`

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:

  • instinct_ledger_plan/v1
  • instinct_candidate/v1
  • project_instinct_scope_map/v1
  • instinct_promotion_review/v1
  • instinct_export_review/v1 when requested

Artifact expectations:

  • instinct_candidate/v1 with trigger, action, confidence, domain, scope, source evidence, non-goals, and review state
  • project_instinct_scope_map/v1 separating project, global, imported, and promotion-candidate instincts
  • instinct_promotion_review/v1 with repeated evidence, confidence threshold, conflicts, and approval state
  • instinct_export_review/v1 with redaction, destination, import/export trust gaps, and raw-observation exclusion when requested

Safety rules:

  • An instinct ledger is not hook installation, automatic observation, model training, hidden memory mutation, skill mutation, prompt mutation, global rule promotion, import, export, or proof that future behavior changed. Record only reviewed candidate instincts, confidence, scope, promotion state, and evidence gaps.
  • Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.

Runtime Evidence

Preferred harness for this skill: `instinct-ledger`.

omh runtime record --skill instinct-ledger --harness instinct-ledger --status started
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