Decision Recall
SkillDocs & knowledgeLets your agent bring up previously rejected decisions on request using its decision-recall workflow.
Use Decision Recall in Claude, ChatGPT or Ahel Desktop
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Also: Claude Code · Cursor · Codex
Then ask your AI: use the Decision Recall skill
Details
Instructions available. Your AI can read the instructions. Execution depends on the setup they require.
Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.
No other account needed.
Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.
About this skill
[omh] Previously rejected options to revisit: recall scoped reviewed rejected decisions without elevating them to approved memory. Use when the user says: decision-recall, rejected decision recall, rejected decisions, why was this rejected, previously rejected alternative, 거절된 결정, 기각된 대안.
What this skill tells your AI
The instructions your AI receives, as published by rlaope/oh-my-hermes in agent-skills/omh-decision-recall/SKILL.md and read by ahel’s review.
This is an OMH decision-recall workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
Why This Exists
decision-recall 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: Show rejected decisions for this project before we choose an alternative.
- Expected behavior: Produce
show_rejected_decision_recallwith 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: Claim the recalled rejected decision is an approved memory write or proof the replacement ran.
- 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
- The query, scope, tags, stale policy, and match limit are explicit.
- Only reviewed rejected candidates are returned; expired candidates stay excluded.
- Recall output is not presented as approved memory, source freshness, or execution evidence.
Recovery Notes
- If required context is missing, ask one blocking question or route back to the narrower workflow.
- If runtime or wrapper evidence is unavailable, keep the status as not_observed and expose the next observable action.
Use When
Use for scoped reviewed rejected-decision context; it is not approved memory or execution evidence.
Strong routing signals: `decision-recall`, `rejected decision recall`, `rejected decisions`, `why was this rejected`, `previously rejected alternative`, `거절된 결정`, `기각된 대안`
Catalog Metadata
Category: memory
Phase: decision-recall
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.
Required inputs:
- user request
- target context
- delivery or status expectation
- known missing evidence
Expected outputs:
- rejected_decision_recall/v1
- scoped rejected-decision matches
- claim boundary
Artifact expectations:
- rejected_decision_recall/v1 metadata-only recall result
Safety rules:
- Rejected-decision context is reviewed OMH-local context, not approved memory, Hermes memory, or execution evidence.
- 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. Record actual tool results, or
not_observed / not_available, in the record; 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.
Reply in the user's own words and the host's own voice: the host's persona owns
reply language, tone, speech level, and sentence endings, progress updates
included (where it sets no language, use the one the user wrote in), and OMH
shapes structure and content only; OMH's record terms
(surface, lane, wrapper, handoff, evidence boundary, not_observed) stay in
records and tool calls, never in the sentence the user reads unless they ask
about one; and when a stop condition or a decision the user owns ends the turn,
offer the next action as a question rather than declaring what will not be done.
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.
Signals
- GitHub stars
- 3k
- Forks
- 237
- Last commit
- Oct 2026
ahel review
K1binfo
installs-packages
Automated review, not a security audit. Ruleset v1+k2.
Advanced
- Item type
- skill
- Key
omh-decision-recall- Source
- github.com/rlaope/oh-my-hermes
github.com/rlaope/oh-my-hermes
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