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 agentmods add skills/pedroiff0/awesome-skills/claude-codenpx skills add pedroiff0/awesome-skills --skill claude-codegit clone --depth 1 https://github.com/pedroiff0/awesome-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/pedroiff0/awesome-skills/claude-code)<a href="https://agentmods.dev/skills/pedroiff0/awesome-skills/claude-code"><img src="https://agentmods.dev/badge/skills/pedroiff0/awesome-skills/claude-code.svg" alt="Measured on agentmods" 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 | $0.08993 |
| Opus 5 | $0.00008 | $0.04496 |
| Sonnet 5 | $0.00003 | $0.01799 |
| Haiku 4.5 | $0.00002 | $0.00899 |
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 6d 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
94% identical to claude-code — 10 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 — 746 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.
- 6d ago First seen · 746 lines · 16 tokens per session scan D 4d195cf896e7
claude-code is a skill published in the GitHub repository pedroiff0/awesome-skills (1 stars, last pushed 9d ago), licensed MIT. It adds 16 tokens to every session and 8,993 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 94% identical to claude-code, differing in 10 lines, and is treated as a copy.
Other skills, from other repositories
pr-reviewer
Reviews a Git branch as a pull request against the base branch (auto-resolved from origin/HEAD — usually main or master) using this repo's own rules — the CLAUDE.md constitution and the .claude/skills/ that apply to the changed files. Fetches the branch, switches to it, diffs it against the merge-base, routes the…
ac-qa-gh-pr-review
Reviews pull requests through a bounded shared worker-wave review flow, consolidated reporting, and user-confirmed gh pr review actions.
find-simplifications
Use for a periodic repo-wide sweep of qwen-code for accumulated excess surface — dead components and files, orphaned locale keys, exports nothing consumes, added-then-removed scaffolding — filing candidates on a tracking issue and landing only what a maintainer has said yes to. Repo-wide and evidence-first; every…
cross-model-review
跨模型第二意见技能，融合 gstack 的 cross-model second opinion 能力。 当检测到高风险改动时，可选触发不同模型提供独立审查意见， 作为 multi-perspective-review 的可选叠加层。.
review-work
Post-implementation gate review: run manual QA on the real surface yourself, then launch ONE gate reviewer (never a panel) to audit goal, constraints, code quality, security, missed context, and QA evidence. Use before a PR handoff or when the user explicitly asks to review completed work.
code-quality
Drive static-analysis code quality in pi-agent-dashboard with Biome (analyze → fix → test), in changed-files or whole-repo mode. Use when asked to "improve code quality", "lint and fix", "clean up warnings", "fix Biome issues", "run static analysis", or when setting a code-quality goal. Skip for one-line edits.