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.
Borrowing it
Nothing to install: this file belongs to rlaope/oh-my-hermes. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/rlaope/oh-my-hermes/main/CLAUDE.mdgit 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/instructions/rlaope/oh-my-hermes/claude-md)<a href="https://agentmods.dev/instructions/rlaope/oh-my-hermes/claude-md"><img src="https://agentmods.dev/badge/instructions/rlaope/oh-my-hermes/claude-md/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/instructions/rlaope/oh-my-hermes/claude-md"><img src="https://agentmods.dev/badge/instructions/rlaope/oh-my-hermes/claude-md.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 | $0.03051 | $0.03051 |
| Opus 5 | $0.01525 | $0.01525 |
| Sonnet 5 | $0.00610 | $0.00610 |
| Haiku 4.5 | $0.00305 | $0.00305 |
Grade A, and why
oh-my-hermes CLAUDE.md 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 today.
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 — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Practical Claude Code guidance for this repo. Product direction, delivery
grain, PR report style, evidence boundaries, and commit trailers are defined in
AGENTS.md and docs/DIRECTION.md — read those first; this file does not
repeat them. CONTEXT.md is the glossary for the OMH ↔ Hermes Agent boundary
(which product owns which surface, state root, and TUI); use its terms before
reasoning about anything that touches Hermes Agent.
What This Repo Is
oh-my-hermes (OMH) is a Hermes-native wrapper orchestration layer: a
deterministic skill catalog, router, and prepared-handoff generator installed
next to Hermes Agent. Core omh code makes no LLM, API, or network calls and
never patches Hermes. Pure Python 3.11+, zero runtime dependencies. One scoped
exception: omh coding fanout dispatch (explicit opt-in) spawns local agent
CLIs as subprocesses — those CLIs make their own network calls; omh itself
still makes none, and nothing executes without that explicit command.
Build & Test
PYTHONPATH=tests uv run python -m unittest discover -s tests -v # full suite
PYTHONPATH=tests uv run python -m unittest tests/test_cli.py -v # one file
uv run python -m compileall -q src tests # syntax gate
uv run python -m omh.cli docs workflows --check # byte gate
uv run python -m omh.cli docs roles --check # byte gate
uv run python -m omh.cli docs claims --check --json # selected claims
uv run --group lint ruff check src tests # static-analysis gate
git diff --check
- Always set
PYTHONPATH=testsfor unittest; test helpers live at tests root. - Run the smallest test that proves your claim, then broaden if the touched surface is shared. Full suite before claiming done.
uv run --group lint ruff check src testsinstalls the pinned Ruff version from thelintdependency group (declared inpyproject.toml) into the project'suv-managed environment — no globally installedruffneeded. CI runs the identical command as its own step. The initial rule set is Pyflakes (F) only, scoped narrow to stay actionable on a ~135k LOC repo; see the[tool.ruff]block inpyproject.tomlfor the per-file re-export exclusions and the deliberately-not-yet-enforced broad-exception (BLE001) policy, owned by issue #652.- That broad-exception policy is a gate, not a comment.
tests/test_broad_exception_policy.pyre-derives every broadexceptsite insrc/from source and fails when one is not classified as either intentional (the failure is classified and surfaced) or needing the #637 treatment (the failure is relabeled as a normal result). Add the verdict in that file when you add a broadexcept; do not record hit counts or line numbers in prose, they drift.
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.
- today Changed · +30 lines · +438 tokens per session bda96607f6c8
- 2d ago Changed · +6 lines · +124 tokens per session 1a68263e4354
- 10d ago First seen · 159 lines · 2,489 tokens per session scan A bea3558ec2e6
oh-my-hermes CLAUDE.md is an instructions file published in the GitHub repository rlaope/oh-my-hermes (1,605 stars, last pushed today), licensed MIT. It adds 3,051 tokens to every session, about $0.0153 per session on Opus 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.
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