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 davidtoby/agent-skills --skill claude-codegit clone --depth 1 https://github.com/davidtoby/agent-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/davidtoby/agent-skills/claude-code)<a href="https://agentmods.dev/skills/davidtoby/agent-skills/claude-code"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/claude-code/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/davidtoby/agent-skills/claude-code"><img src="https://agentmods.dev/badge/skills/davidtoby/agent-skills/claude-code.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 | $0.00016 | $0.08982 |
| Opus 5 | $0.00008 | $0.04491 |
| Sonnet 5 | $0.00003 | $0.01796 |
| Haiku 4.5 | $0.00002 | $0.00898 |
Grade D, and why
claude-code scanned grade D with 2 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 5d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
4. **User:** `~/.claude/settings.json` (global) Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
"deny": ["Read(.env)", "Bash(rm -rf *)"] This is a copy
92% identical to claude-code — 11 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 745 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Code — Hermes Orchestration Guide
Delegate coding tasks to Claude Code (Anthropic's autonomous coding agent CLI) via the Hermes terminal. Claude Code v2.x can read files, write code, run shell commands, spawn subagents, and manage git workflows autonomously.
Prerequisites
- Install:
npm install -g @anthropic-ai/claude-code - Auth: run
claudeonce to log in (browser OAuth for Pro/Max, or setANTHROPIC_API_KEY) - Console auth:
claude auth login --consolefor API key billing - SSO auth:
claude auth login --ssofor Enterprise - Check status:
claude auth status(JSON) orclaude auth status --text(human-readable) - Health check:
claude doctor— checks auto-updater and installation health - Version check:
claude --version(requires v2.x+) - Update:
claude updateorclaude upgrade
Two Orchestration Modes
Hermes interacts with Claude Code in two fundamentally different ways. Choose based on the task.
Mode 1: Print Mode (-p) — Non-Interactive (PREFERRED for most tasks)
Print mode runs a one-shot task, returns the result, and exits. No PTY needed. No interactive prompts. This is the cleanest integration path.
terminal(command="claude -p 'Add error handling to all API calls in src/' --allowedTools 'Read,Edit' --max-turns 10", workdir="/path/to/project", timeout=120)
When to use print mode:
- One-shot coding tasks (fix a bug, add a feature, refactor)
- CI/CD automation and scripting
- Structured data extraction with
--json-schema - Piped input processing (
cat file | claude -p "analyze this") - Any task where you don't need multi-turn conversation
Print mode skips ALL interactive dialogs — no workspace trust prompt, no permission confirmations. This makes it ideal for automation.
Mode 2: Interactive PTY via tmux — Multi-Turn Sessions
Interactive mode gives you a full conversational REPL where you can send follow-up prompts, use slash commands, and watch Claude work in real time. Requires tmux orchestration.
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.
- 5d ago First seen · 745 lines · 16 tokens per session scan D 8d72e755bd78
claude-code is a skill published in the GitHub repository davidtoby/agent-skills (10 stars, last pushed 1mo ago), licensed MIT. It adds 16 tokens to every session and 8,982 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it D with 2 findings (reads agent configuration directories, recursive force delete). It is 92% identical to claude-code, differing in 11 lines, and is treated as a copy.
Other skills, from other repositories
conventional-commits
Format commit messages using the Conventional Commits specification. Use when creating commits, writing commit messages, or when the user mentions commits, git commits, or commit messages. Ensures commits follow the standard format for automated tooling, changelog generation, and semantic versioning.
app-store-changelog
Create user-facing App Store release notes by collecting and summarizing all user-impacting changes since the last git tag (or a specified ref). Use when asked to generate a comprehensive release changelog, App Store "What's New" text, or release notes based on git history or tags.
codex-review
Professional code review with auto CHANGELOG generation, integrated with Codex AI.
commit
Skill "commit" from clacky-ai/openclacky, covering smart commit skill, critical requirement: single-line commits only, core philosophy, usage and process steps.
devops-pipeline
Configure pre-commit hooks and lean GitHub Actions for shift-left quality assurance. Use when adding or auditing CI/CD to maximize local test coverage and minimize CI cost. Skip for Terraform/K8s, deployment pipelines, or non-GitHub CI providers.
auto-push
Generate a commit message, stage all changes, and push to remote after scanning for secrets, large files, and protected-branch risks. Skip for opening PRs, code review, or cutting releases/tags.