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-sprite-forgegit 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-sprite-forge)<a href="https://agentmods.dev/skills/rlaope/oh-my-hermes/omh-sprite-forge"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-sprite-forge/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-sprite-forge"><img src="https://agentmods.dev/badge/skills/rlaope/oh-my-hermes/omh-sprite-forge.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00080 | $0.01700 |
| Opus 5.5 | $0.00032 | $0.00680 |
| Sonnet 5.5 | $0.00016 | $0.00340 |
| Haiku 4.5 | $0.00008 | $0.00170 |
Grade A, and why
omh-sprite-forge 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sprite Forge
This is an OMH sprite-forge workflow skill, projected for Agent Skills hosts (Claude Code, Codex, Cursor, opencode, OpenClaw, pi).
Why This Exists
Image models return character poses at drifting scales and offsets, so frames cut by hand jitter in play. This skill couples a grid-sheet contract to a fail-closed processor whose numeric QC decides whether to regenerate the source.
First Steps
- Read
toolkit/README.mdandreferences/execution-and-qa.mdbefore executingtoolkit/scripts/forge.py; installation and skill discovery never run it. - Obtain the raw sheet from the host's own image tool as a grid on flat #FF00FF; OMH generates no images, and a 1xN strip is regenerated as a grid, never processed.
- Record identity elements, rejected drafts, cell size and baseline in
references/character-art-direction.mdform before cutting frames.
Do Not Use When
- Create a product showcase video for a launch, with narration and subtitles; use
omh-show-reel. - The task is judging already-rendered UI screenshots or layout captures; use
omh-visual-qa. - The output is an image card or visual prompt card summarizing source material; use
omh-image-cards.
Examples
Good example:
- Prompt: Make a pixel sprite sheet for my game character.
- Expected behavior: Get a 2x3 #FF00FF grid from the host image tool, record art direction, run the helper, then read back frames and qc.json and regenerate on a REGENERATE verdict.
- Why: Animation frames need measured scale and baseline consistency, not a single illustration.
Bad example:
- Prompt: Tighten the CSS pixel spacing on this sheet of settings cards.
- Expected behavior: Answer as a front-end styling question; do not run a sprite processor.
- Why: Pixel and sheet vocabulary alone does not establish game-character frames.
Completion Checklist
- The source sheet is a host-generated grid on #FF00FF with a source record; real-person sources carry consent.
- The actual helper command and exit were observed; frames, sheet and qc.json were read back and hashed, or the blocker is stated.
- body_scale_cv and anchor_y_std are quoted from qc.json; a REGENERATE verdict led to a new sheet, not frame edits.
What ships with it
9 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/character-art-direction.md 1.5 KB
- references/execution-and-qa.md 2.2 KB
- references/full-contract.md 3.0 KB
- references/procedure.md 3.2 KB
- toolkit/examples/layout.json 357 B
- toolkit/LICENSE.upstream 1.3 KB
- toolkit/README.md 5.6 KB
- toolkit/scripts/forge.py 18 KB runs code
- toolkit/upstream-manifest.json 2.5 KB
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 First seen · 138 lines · 80 tokens per session scan A ee0e33de03d5
omh-sprite-forge is a skill published in the GitHub repository rlaope/oh-my-hermes (4,678 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 1,700 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 2026-10-28.
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