oh-my-hermes is an operating layer for Hermes Agent that organizes requests into workflows for planning, research, creation, coding handoffs, operations, and project memory. Hermes users run these workflows through the desktop app, CLI, or messenger app, while the catalogue add-ons extend its native capabilities.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add rlaope/oh-my-hermes --skill omh-decision-recallgit clone --depth 1 https://github.com/rlaope/oh-my-hermesWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-decision-recall)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-decision-recall"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-decision-recall/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-decision-recall"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-decision-recall.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00065 | $0.01171 |
| Opus 5.5 | $0.00026 | $0.00468 |
| Sonnet 5.5 | $0.00013 | $0.00234 |
| Haiku 4.5 | $0.00006 | $0.00117 |
Grade A, and why
omh-decision-recall scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Decision Recall
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 the query, scope, tags, stale policy, or match limit is unspecified, no rejected-decision match stands yet; mark recall unresolved and hand back one question fixing the missing filter.
- If a candidate's reviewed-rejected status or expiry cannot be checked, retain only matches that passed those checks, mark remaining recall unresolved, and hand back rejected_decision_recall/v1 with the claim boundary and missing checks.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday Changed 229e7c3c5954
- 15d ago Changed · +1 lines ef8b4aca0c5d
- 24d ago Changed · +1 lines c79770918208
- 1mo ago Changed · +3 lines 4ec7f47add58
- 1mo ago Changed · +6 tokens per session e1a7e3a4ce00
- 1mo ago Changed · +6 lines 4446b294e726
- 1mo ago Changed · -10 lines 913f3e27ae3f
- 2mo ago First seen · 120 lines · 59 tokens per session scan A af777a1aacf2
omh-decision-recall is a skill published in the GitHub repository rlaope/oh-my-hermes (5,182 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 1,171 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
omh-decision-recall compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| omh-decision-recallrlaope/oh-my-hermes | Skill | 5.2k | yesterday | MIT | A | 65 | Claude Code, Codex |
| context-engineeringseaworld008/Commonly-used-high-value-skills | Skill | 74 | 2d ago | MIT | A | 24 | Claude Code, Codex |
| experience-managerkonglong87/methodology-skills | Skill | 6 | 3mo ago | MIT | A | 17 | Claude Code |
| castseaworld008/Commonly-used-high-value-skills | Skill | 74 | 2d ago | MIT | A | 32 | Claude Code, Codex |
| llm-wikiseaworld008/Commonly-used-high-value-skills | Skill | 74 | 2d ago | MIT | A | 33 | Claude Code, Codex |
| honchoseaworld008/Commonly-used-high-value-skills | Skill | 74 | 2d ago | MIT | A | 33 | Claude Code, Codex |
| loreseaworld008/Commonly-used-high-value-skills | Skill | 74 | 2d ago | MIT | A | 40 | Claude Code, Codex |