Critic Agent
AMD-AGI/Hyperloom
Critic layer for the inference optimizer. An agent skill from AMD-AGI/Hyperloom.
[omh] Missed route or run lessons to record: classify and review self-improvement store routes as an auxiliary review lane before durable writes, then record workflow attempts as metadata-only…
Install Omh Workflow Learning
$ npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install rlaope/oh-my-hermes omh-workflow-learning --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/omh-workflow-learning .claude/skills/omh-workflow-learning && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "omh-workflow-learning" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-workflow-learning into .claude/skills/omh-workflow-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-workflow-learning", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-workflow-learningType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install rlaope/oh-my-hermes omh-workflow-learning --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/omh-workflow-learning .agents/skills/omh-workflow-learning && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "omh-workflow-learning" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-workflow-learning into .agents/skills/omh-workflow-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-workflow-learning", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install rlaope/oh-my-hermes omh-workflow-learning --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/omh-workflow-learning .cursor/skills/omh-workflow-learning && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "omh-workflow-learning" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-workflow-learning into .cursor/skills/omh-workflow-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-workflow-learning", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/rlaope/oh-my-hermes.git --path skills/omh-workflow-learning--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install rlaope/oh-my-hermes omh-workflow-learning --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/omh-workflow-learning .gemini/skills/omh-workflow-learning && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "omh-workflow-learning" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-workflow-learning into .gemini/skills/omh-workflow-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-workflow-learning", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install rlaope/oh-my-hermes omh-workflow-learningInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/omh-workflow-learning .github/skills/omh-workflow-learning && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "omh-workflow-learning" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-workflow-learning into .github/skills/omh-workflow-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-workflow-learning", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install rlaope/oh-my-hermes omh-workflow-learning --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/rlaope/oh-my-hermes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/omh-workflow-learning .opencode/skills/omh-workflow-learning && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "omh-workflow-learning" agent skill from https://github.com/rlaope/oh-my-hermes/tree/main/skills/omh-workflow-learning into .opencode/skills/omh-workflow-learning/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "omh-workflow-learning", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
omh-workflow-learning- GitHub stars
- 3.2k
- Token cost
- ~2k tokens
- SKILL.md length
- 896 words
- Files
- 1
- Skills in repo
- 143
- Repo updated
- First seen
- Licence
- MIT
At a glance
[omh] Missed route or run lessons to record: classify and review self-improvement store routes as an auxiliary review lane before durable writes, then record workflow attempts as metadata-only…
- The user says: workflow-learning
- SKILL.md covers Why This Exists, Do Not Use When, Examples and Completion Checklist, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Workflow learning
What it does
Omh Workflow Learning is an agent skill from rlaope/oh-my-hermes. [omh] Missed route or run lessons to record: classify and review self-improvement store routes as an auxiliary review lane before durable writes, then record workflow attempts as metadata-only traces, evals, review queues, patch proposals, regression cases, audits, indexes, and exports. Use when the user says: workflow-learning, workflow learning, route-signal, self-improvement store routing, store route review, memory skill wiki routing, learning trace, learning audit.
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in AI & LLM Engineering, covering LLM evaluation and Proposals and quotes. The repository describes itself as: All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages. The licence is MIT.
When your agent uses it
- The user says: workflow-learning
- Workflow learning
- Self-improvement store routing
- Store route review
Example prompts
- “/omh-workflow-learning”
What it can do on your machine
Read from SKILL.md and the folder at commit f772a94. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Omh Workflow Learning loads about 2k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 896 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from rlaope/oh-my-hermes at commit f772a94, republished under its MIT licence (© rlaope). 896 words, ~1,964 tokens.
Download SKILL.mdSave it as
.claude/skills/omh-workflow-learning/SKILL.md (or your agent's skills folder).- name
- omh-workflow-learning
- description
- [omh] Missed route or run lessons to record: classify and review self-improvement store routes as an auxiliary review lane before durable writes, then record workflow attempts as metadata-only traces, evals, review queues, patch proposals, regression cases, audits, indexes, and exports. Use when the user says: workflow-learning, workflow learning, route-signal, self-improvement store routing, store route review, memory skill wiki routing, learning trace, learning audit.
Workflow Learning
This is a Hermes-native workflow-learning workflow skill.
Why This Exists
workflow-learning 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: workflow-learning route this self-improvement note before deciding whether it is memory, skill, wiki, failure-retrospective, or automation material.
- Expected behavior: Produce
record_workflow_learning_tracewith 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: workflow-learning silently patch the skill and claim future behavior is fixed.
- 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
- Confirm the workflow target, evidence boundary, and stop condition are named.
- Report which outputs are prepared, observed, blocked, or missing.
- Name the smallest next verification or handoff instead of claiming completion from narration.
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.
- Native write policy
requiredstops promotion as unsupported andnot_requiredis not an approval; drift unlinks only the managed SKILL.md and keeps generations and receipts, and an incomplete promotion resumes only via explicitretry --receipt-id.
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-hermesor name the adjacent workflow. - Shared product, routing, compatibility, and evidence rules:
omh-routing/references/skill-common-rail.md.
Use When
Use after a Hermes/OMH workflow attempt should become inspectable, evaluable, routed to memory/skill/wiki/failure-retrospective/automation review, persisted as a metadata-only store-route decision, queued for review, audited, replayable as a regression, converted to a patch handoff, exported, repaired after index drift, or captured as a missed-route signal without raw prompts. Store-route records are an auxiliary review lane surfaced by learning review and learning store-routes; they are not canonical learning index/export records until a reviewed destination produces its own artifact.
Strong routing signals: `workflow-learning`, `workflow learning`, `route-signal`, `self-improvement store routing`, `store route review`, `memory skill wiki routing`, `learning trace`, `learning audit`, `self improvement store routing`, `store routing`, `where should this learning go`, `audit learning`, `learning review`, `review queue`, `review-route`, `store-routes`, `learning readiness`, `learning export`, `export bundle`, `learning index`, `index rebuild`, `execution trace`, `skill improvement`, `improvement candidate`, `regression corpus`, `GEPA`, `VPRM`, `process supervision`, `why did this route`, `missed route`, `missed workflow`, `did not use OMH`, `OMH was not used`, `learn from this run`, `이번 실행 학습`, `스킬 개선`, `회귀 케이스`, `실행 기록`, `학습 기록`, `학습 점검`, `학습 준비 상태`, `학습 내보내기`, `OMH 안 썼어`, `워크플로 누락`, `라우팅 누락`Show full SKILL.md (383 more words)Show less
Catalog Metadata
Category: optimization
Phase: workflow-learning
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:
- workflow-learning/v1 card or guidance
- next action
- prepared-vs-observed boundary
Artifact expectations:
- workflow-learning/v1 metadata-only runtime or wrapper card when recorded
- browser_skill_promotion_approval_receipt/v1 per operation:
promotion diffthenapprove --reviewed-diff-digest --reviewer; sourcelearning promotion --source-id sd-<id>(reviewed draft) orweb-qa promotion --trace-id bwt-<id>
Safety rules:
- A workflow learning trace, self-improvement store route, patch proposal, or export is process evidence for review. It is not automatic model training, memory mutation, skill mutation, wiki write, automation creation, execution, verification, CI, or merge evidence.
- Do not claim connector, gateway, runtime, file generation, memory mutation, or host automation evidence from prepared guidance.
Runtime Evidence
Preferred harness for this skill: workflow-learning.
omh runtime record --skill workflow-learning --harness workflow-learning --status startedRecord 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 memory/context summaries as advisory local context, not proof of opaque Hermes memory reads or changes. Preserve workflow intent and stop conditions; verify before claiming completion. Reply in the user's own words and the host's own voice: its SOUL.md 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.
Use Hermes-native subagent/delegation features when available: native subagents -> Hermes delegation when available, otherwise sequential lanes.
Shared product, compatibility, topology, memory, harness, and execution rules: omh-routing/references/skill-common-rail.md. Load it when applicable; otherwise name an unavailable capability.
© rlaope, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in skills/omh-workflow-learning of rlaope/oh-my-hermes.
Open the folder on GitHubat commit f772a94
Compare with similar skills
Omh Workflow Learning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Omh Workflow Learning this skillrlaope/oh-my-hermes | 3.2k | — | ~2k | Automated safety check: Pass | MIT | |
| Critic AgentAMD-AGI/Hyperloom | 217 | — | ~3.5k | Automated safety check: Pass | Custom licence | |
| LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3k | Automated safety check: Pass | MIT | |
| Azure AI Projects Python SDKmicrosoft/skills | 3.1k | 6 repos | ~2.8k | Automated safety check: Pass | MIT | |
| Fine-Tuning ExpertJeffallan/claude-skills | 12k | 1 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Looperksimback/looper | 710 | — | ~2.7k | Automated safety check: Notes | MIT |
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Related
Categories
Questions about Omh Workflow Learning
What does Omh Workflow Learning do?
[omh] Missed route or run lessons to record: classify and review self-improvement store routes as an auxiliary review lane before durable writes, then record workflow attempts as metadata-only…. Omh Workflow Learning is an agent skill from rlaope/oh-my-hermes. [omh] Missed route or run lessons to record: classify and review self-improvement store routes as an auxiliary review lane before durable writes, then record workflow attempts as metadata-only traces, evals, review queues, patch proposals, regression cases, audits, indexes, and exports.
When should I use Omh Workflow Learning?
Omh Workflow Learning fits situations like: the user says: workflow-learning; workflow learning; self-improvement store routing; store route review.
How do I install Omh Workflow Learning in Claude Code?
Run `npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a claude-code`. Or copy the skill folder (skills/omh-workflow-learning in rlaope/oh-my-hermes) into .claude/skills/omh-workflow-learning in your project. Claude Code loads it when a task matches its description.
How do I install Omh Workflow Learning in Codex?
Run `npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a codex`. Or copy the skill folder (skills/omh-workflow-learning in rlaope/oh-my-hermes) into .agents/skills/omh-workflow-learning in your project. Codex loads it when a task matches its description.
Can I use Omh Workflow Learning in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rlaope/oh-my-hermes --skill omh-workflow-learning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/omh-workflow-learning, .gemini/skills/omh-workflow-learning, .github/skills/omh-workflow-learning and .opencode/skills/omh-workflow-learning in your project.
What does Omh Workflow Learning need to run?
SKILL.md names no scripts, command-line tools or credentials: Omh Workflow Learning is instructions for the agent only.
Does Omh Workflow Learning access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Omh Workflow Learning safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Omh Workflow Learning use?
Omh Workflow Learning is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Omh Workflow Learning use?
About 2k tokens (SKILL.md is roughly 7.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Omh Workflow Learning?
Skills that share tags, products or a category with Omh Workflow Learning: Critic Agent (AMD-AGI/Hyperloom, 217 stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars), Azure AI Projects Python SDK (microsoft/skills, 3.1k stars) and Fine-Tuning Expert (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Omh Workflow Learning?
rlaope (a GitHub user) maintains it in rlaope/oh-my-hermes, which has 3,207 GitHub stars. The repository holds 143 skills in this directory. The repository was last updated on October 8, 2026.
Source: rlaope/oh-my-hermes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.