Borrowing it
Nothing to install: this file belongs to Deepank308/hermes-swe-agent. 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/Deepank308/hermes-swe-agent/main/.claude/skills/setup/SKILL.mdgit clone --depth 1 https://github.com/Deepank308/hermes-swe-agentWrote 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/deepank308/hermes-swe-agent/setup)<a href="https://agentmods.dev/skills/deepank308/hermes-swe-agent/setup"><img src="https://agentmods.dev/badge/skills/deepank308/hermes-swe-agent/setup/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/deepank308/hermes-swe-agent/setup"><img src="https://agentmods.dev/badge/skills/deepank308/hermes-swe-agent/setup.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 | $0.00036 | $0.01143 |
| Opus 5.5 | $0.00014 | $0.00457 |
| Sonnet 5.5 | $0.00007 | $0.00229 |
| Haiku 4.5 | $0.00004 | $0.00114 |
Grade A, and why
setup 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 1mo 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Self-Hosting Setup Guide
Help the user set up this infrastructure for their own repositories and AWS account. This is an interactive walkthrough — ask questions, validate inputs, and guide them through each step.
Important: Read SETUP.md and .env.example first for the full setup flow. Use the docs in docs/ as references for each integration.
Phase 1: Understand Their Setup
Ask the user about their environment:
- Which repositories will the agent work on? (GitHub org/repo names)
- AWS region preference (default: eu-north-1)
- Domain name they'll use for the orchestrator (e.g.
hermes.example.com) - Which integrations they want:
- Linear (required)
- GitHub App or PAT only? (recommend App for short-lived tokens)
- Slack notifications? (optional)
- Preview URLs with stable domains? (optional, needs Cloudflare API token)
Phase 2: Configure repos.json
Based on their answers:
- Read the current
repos.jsonandrepos.example.jsonto understand the format. - Edit
repos.jsonwith entries for their repositories. - For each repo, decide:
bakeAmi: true(heavy deps, Docker services) orfalse(lightweight, fast install)instanceTypebased on their repo's resource needsscriptsDirif they need custom boot scripts (explain when this is needed)
- Use
docs/repos-json.mdto guide the conversation.
Phase 3: Configure .env.local
- Help them create
.env.localfrom.env.example:cp .env.example .env.local - Walk through each section of
.env.exampleand help them fill in values. - For each integration, read the corresponding guide from
docs/:
Linear (required)
- Guide:
docs/linear.md - They need to create: OAuth app + webhook in Linear Settings
- Collect:
LINEAR_CLIENT_ID,LINEAR_CLIENT_SECRET,LINEAR_WEBHOOK_SECRET - Callback URL:
https://<their-domain>/oauth/callback - Webhook URL:
https://<their-domain>/webhook
GitHub (required)
- Guide:
docs/github.md GITHUB_TOKEN(PAT with repo scope) is always required for setup- Recommend also setting up a GitHub App for agent operations — collect
GITHUB_APP_CLIENT_ID,GITHUB_APP_PRIVATE_KEY,GITHUB_APP_INSTALLATION_ID
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.
- 1mo ago First seen · 123 lines · 36 tokens per session scan A 8b4e0f63ec73
setup is a skill published in the GitHub repository Deepank308/hermes-swe-agent (12 stars, last pushed 6mo ago), licensed MIT. It adds 36 tokens to every session and 1,143 once invoked, about $0.0001 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.
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