Instinct Ledger
This is an OMH instinct-ledger workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
Why This Exists
instinct-ledger exists so Hermes users can ask for this workflow in chat and receive a structured, evidence-bounded OMH operating surface instead of ad hoc narration.
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.
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
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.
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
Use the current host's own tools and subagent/task mechanism when available;
otherwise run the same lanes sequentially or name the unavailable capability.
A prepared plan, handoff, checklist, or skill installation is not execution,
review, CI, merge-readiness, or merge evidence. Report actual tool results or
not_observed / not_available; never invent dispatch or host accounting.
Treat supplied context as advisory, not proof of hidden memory reads or writes.
State scope, constraints, verification, and the stop condition before work.
Supporting paths are relative to this skill directory; sibling skill paths are
relative to its parent. Resolve them from the host-provided skill base directory
({baseDir} on hosts that provide it), never a hardcoded install location.
A named workflow not installed here is unavailable, not permission to emulate
its host-specific capabilities. Verify through the real surface before done.
1---2name: omh-instinct-ledger-23description: [omh] Instinct Ledger workflow: 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.4---56# Instinct Ledger78This is an OMH `instinct-ledger` workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).910## Why This Exists1112`instinct-ledger` exists so Hermes users can ask for this workflow in chat and receive a structured, evidence-bounded OMH operating surface instead of ad hoc narration.1314## Do Not Use When1516- The request is already handled by a narrower explicit skill with stronger evidence.17- The user asks OMH to secretly run external platforms, connectors, schedulers, file exports, or runtime agents.18- The only safe answer is to ask for missing authority, credentials, target, or observed evidence first.1920## Examples2122Good example:2324- Prompt: instinct-ledger turn these repeated OMH review lessons into project-scoped instincts and show which ones could be promoted globally.25- Expected behavior: Produce `prepare_instinct_ledger` with required context, wrapper actions, and not-evidence boundaries.26- Why: The prompt names a real workflow surface that Hermes can orchestrate without hiding execution.2728Bad example:2930- Prompt: instinct-ledger silently install hooks, learn from every prompt, and mutate all skills globally.31- Expected behavior: Report the missing observed evidence or authority instead of claiming the external step happened.32- Why: Prepared OMH guidance is not platform, runtime, connector, file, memory, or delivery evidence.3334## Completion Checklist3536- Each instinct is atomic: one trigger, one action, one scope, confidence, evidence refs, and review state.37- Project-specific conventions, global practices, project/global promotion candidates, imports, and exports are separated.38- No hooks, memory writes, skill edits, global promotion, import/export, or behavior-change claims are made without observed approval and implementation evidence.3940## Recovery Notes4142- If the request is a single missed route or run trace, route to workflow-learning first.43- If the request is to mutate durable rules, prompts, skills, or AGENTS guidance, route to rules-distill or implementation after review approval.44- If evidence comes from a stuck run, use agent-debug before converting lessons into instincts.45464748## Use When4950Use 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.5152 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`5354## Catalog Metadata5556Category: `optimization`57Phase: `instinct-ledger`58Quality tier: `workflow-surface-gated`59Reasoning demand: `heavy`6061Quality bar:6263- Name the user-facing workflow objective, required context, next action, and stop condition.64- Separate prepared guidance from observed platform, runtime, connector, file, memory, or delivery evidence.65- Expose missing tools, credentials, targets, or observations as user-visible gaps.6667Required inputs:6869- user request70- target context71- delivery or status expectation72- known missing evidence7374Expected outputs:7576- instinct_ledger_plan/v177- instinct_candidate/v178- project_instinct_scope_map/v179- instinct_promotion_review/v180- instinct_export_review/v1 when requested8182Artifact expectations:8384- instinct_candidate/v1 with trigger, action, confidence, domain, scope, source evidence, non-goals, and review state85- project_instinct_scope_map/v1 separating project, global, imported, and promotion-candidate instincts86- instinct_promotion_review/v1 with repeated evidence, confidence threshold, conflicts, and approval state87- instinct_export_review/v1 with redaction, destination, import/export trust gaps, and raw-observation exclusion when requested8889Safety rules:9091- 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.92- Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.9394## Runtime Evidence9596Use the current host's own tools and subagent/task mechanism when available;97otherwise run the same lanes sequentially or name the unavailable capability.98A prepared plan, handoff, checklist, or skill installation is not execution,99review, CI, merge-readiness, or merge evidence. Report actual tool results or100`not_observed` / `not_available`; never invent dispatch or host accounting.101Treat supplied context as advisory, not proof of hidden memory reads or writes.102State scope, constraints, verification, and the stop condition before work.103Supporting paths are relative to this skill directory; sibling skill paths are104relative to its parent. Resolve them from the host-provided skill base directory105(`{baseDir}` on hosts that provide it), never a hardcoded install location.106A named workflow not installed here is unavailable, not permission to emulate107its host-specific capabilities. Verify through the real surface before done.