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 ChrisLamDev/hermes-core-skills --skill openclaw-hermes-archgit clone --depth 1 https://github.com/ChrisLamDev/hermes-core-skillsWrote 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/chrislamdev/hermes-core-skills/openclaw-hermes-arch)<a href="https://agentmods.dev/skills/chrislamdev/hermes-core-skills/openclaw-hermes-arch"><img src="https://agentmods.dev/badge/skills/chrislamdev/hermes-core-skills/openclaw-hermes-arch/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/chrislamdev/hermes-core-skills/openclaw-hermes-arch"><img src="https://agentmods.dev/badge/skills/chrislamdev/hermes-core-skills/openclaw-hermes-arch.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 | $0.00022 | $0.00944 |
| Opus 5 | $0.00011 | $0.00472 |
| Sonnet 5 | $0.00004 | $0.00189 |
| Haiku 4.5 | $0.00002 | $0.00094 |
Grade A, and why
openclaw-hermes-arch 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 10d ago.
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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenClaw & Hermes — Independent Systems (Both on Same iMac)
Critical Architecture Finding (2026-04-29)
Hermes Agent runs locally on the user's iMac, NOT on a cloud VM. This was discovered mid-session when tailscale status showed only one node (chrisimac), hostname returned ChrisdeiMac.local, and tailscale ip -1 returned 100.94.45.30 — the same Tailscale IP as the iMac.
Implication: All prior SSH setup (key generation, from= IP restriction, Tailscale tunnel) was unnecessary — Hermes was SSH-ing into its own machine. The SSH key setup hermes_to_chris served no real purpose since Hermes already has local terminal access.
Critical finding: OpenClaw Gateway and Hermes Agent are two separate systems on the same machine (iMac M1). They are not the same thing.
Key Facts
| OpenClaw Gateway | Hermes Agent | |
|---|---|---|
| Process manager | PM2 | macOS launchd |
| Config | Shared .env | Shared .env |
| Telegram Token | Must NOT share | Must NOT share |
| Service file | PM2 list | ~/Library/LaunchAgents/hermes*.plist |
| Heartbeat | ~60 mins (token drain) | None by default |
Token Conflict
Both using same Telegram Bot Token = packet loss / no response. Telegram delivers to whichever grabs it first. OpenClaw heartbeat drains rate limit.
Fix: Use a separate dedicated Telegram Bot for Hermes. Create via @BotFather, give new token to Hermes only.
Current state: Hermes runs with the original OpenClaw bot token. Architecture is independent but bot identity is inherited. To truly separate, create a new bot via @BotFather and update TELEGRAM_BOT_TOKEN in .env (line 28).
Dead .env Variables (Leftover from OpenClaw)
Hermes Agent does NOT natively read these environment variables — they are OpenClaw-era artifacts:
LOGIC_MODEL=deepseek-chat— inert. Hermes usesmodel.defaultinconfig.yaml.CODING_MODEL=deepseek-coder— inert. Hermes has no internal code to read this.CODING_PROVIDER— inert.DEFAULT_MODEL/LLM_MODEL— also inert ifconfig.yamlsetsmodel.default.
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.
- 10d ago First seen · 82 lines · 22 tokens per session scan A 0ed3bbac8412
openclaw-hermes-arch is a skill published in the GitHub repository ChrisLamDev/hermes-core-skills (9 stars, last pushed 2mo ago), licensed MIT. It adds 22 tokens to every session and 944 once invoked, about $0.0001 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 2026-08-31.
Other skills, from other repositories
unicli-repair
Evidence-driven repair workflow for a broken Uni-CLI adapter. Trigger on a failed unicli envelope, a quarantined adapter, or an explicit adapter-repair request. Classifies non-source failures, edits only the reported adapter path, and uses the original command as a bounded oracle.
autonomous-run
Prepare, start, inspect, resume, or stop a finite local overnight coding run after a human has accepted a Wayfinder terminal spec; coordinates a declared Claude/Codex maker and independent checker without pushing, merging, or writing to external systems.
authentication-patterns
OAuth 2.0, JWT, SSO, MFA, NextAuth/Clerk/Supabase Auth implementation patterns.
case-interview-practice
Interactive consulting case interview practice with structured frameworks, feedback mechanisms, and progressive difficulty. Use when preparing for management consulting interviews, case competitions, or business problem-solving exercises.
i18n-localization
Internationalization and localization for global applications. Use when adding multi-language support, handling regional formats, or preparing apps for global markets.
research-archival
Scrape AI research URLs, archive with frontmatter, create GitHub Issues with identity verification.