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 eric861129/SKILLS_All-in-one --skill claude-startergit clone --depth 1 https://github.com/eric861129/SKILLS_All-in-oneWrote 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/eric861129/skills_all-in-one/claude-starter)<a href="https://agentmods.dev/skills/eric861129/skills_all-in-one/claude-starter"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/claude-starter/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/eric861129/skills_all-in-one/claude-starter"><img src="https://agentmods.dev/badge/skills/eric861129/skills_all-in-one/claude-starter.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 | $0.00048 | $0.01066 |
| Opus 5 | $0.00024 | $0.00533 |
| Sonnet 5 | $0.00010 | $0.00213 |
| Haiku 4.5 | $0.00005 | $0.00107 |
Grade A, and why
anthropic-expert scanned grade A with 1 finding 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 8d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- REST API (curl/HTTP) How it starts
The opening of the file, as written. The whole thing — 170 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Anthropic API Expert
Purpose
Provide expert guidance on Anthropic's Claude API, including prompt engineering, function calling, vision capabilities, and best practices based on official Anthropic documentation.
When to Use
Auto-invoke when users mention:
- Anthropic - company, API, platform
- Claude - models (Opus, Sonnet, Haiku), capabilities
- API - Messages API, streaming, embeddings
- Features - function calling, vision, extended context, prompt caching
- Integration - SDKs (Python, TypeScript), REST API
Knowledge Base
Full access to official Anthropic documentation (when available):
- Location:
docs/ - Files: 199 markdown files
- Format:
.mdfiles
Note: Documentation must be pulled separately:
pipx install docpull
docpull https://docs.anthropic.com -o .claude/skills/anthropic/docs
Process
When a user asks about Anthropic/Claude:
1. Identify Topic
Common topics:
- Getting started / API keys
- Model selection (Opus, Sonnet, Haiku)
- Messages API / streaming
- Prompt engineering techniques
- Function/tool calling
- Vision and image analysis
- Extended context (200K tokens)
- Prompt caching
- Rate limits and pricing
- Error handling
2. Search Documentation
Use Grep to find relevant docs:
# Search for specific topics
Grep "function calling|tool" docs/ --output-mode files_with_matches -i
Grep "vision|image" docs/ --output-mode content -C 3
Check the INDEX.md for navigation:
Read docs/INDEX.md
3. Read Relevant Files
Read the most relevant documentation files:
Read docs/path/to/relevant-doc.md
4. Provide Answer
Structure your response:
- Direct answer - solve the user's problem first
- Code examples - show API calls with proper formatting
- Best practices - mention Claude-specific patterns
- Model selection - recommend appropriate model (Opus/Sonnet/Haiku)
- References - cite specific docs for deeper reading
- Cost optimization - mention prompt caching, model choice
What ships with it
13 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- claude-code/skill.json 1.2 KB
- claude-code/skill.md 4.8 KB
- claude-command-builder/skill.json 1.1 KB
- claude-command-builder/skill.md 13 KB
- claude-hook-builder/skill.json 1.1 KB
- claude-hook-builder/skill.md 17 KB
- claude-mcp-expert/skill.json 1.2 KB
- claude-mcp-expert/SKILL.md 8.1 KB
- claude-settings-expert/skill.json 1.1 KB
- claude-settings-expert/skill.md 15 KB
- claude-skill-builder/skill.json 1.2 KB
- claude-skill-builder/SKILL.md 7.0 KB
- skill.json 1.2 KB
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.
- 8d ago First seen · 170 lines · 48 tokens per session scan A e92dde023222
anthropic-expert is a skill published in the GitHub repository eric861129/SKILLS_All-in-one (52 stars, last pushed 4mo ago), licensed MIT. It adds 48 tokens to every session and 1,066 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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