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 zgsm-ai/everything-ai-coding --skill eacgit clone --depth 1 https://github.com/zgsm-ai/everything-ai-codingWrote 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/zgsm-ai/everything-ai-coding/eac)<a href="https://agentmods.dev/skills/zgsm-ai/everything-ai-coding/eac"><img src="https://agentmods.dev/badge/skills/zgsm-ai/everything-ai-coding/eac/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/zgsm-ai/everything-ai-coding/eac"><img src="https://agentmods.dev/badge/skills/zgsm-ai/everything-ai-coding/eac.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 | $0.00103 | $0.05598 |
| Opus 5.5 | $0.00041 | $0.02239 |
| Sonnet 5.5 | $0.00021 | $0.01120 |
| Haiku 4.5 | $0.00010 | $0.00560 |
Grade C, and why
eac scanned grade C with 3 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
- Default: write to `.claude/settings.json`; "global" → `~/.claude/settings.json` Enumerates other installed skillsmediumAgent snooping
Other skills' SKILL.md files reveal prompts, capabilities and secrets that should be invisible to peers.
**Skills**: Read installed SKILL.md + scan project signals (package.json, pyproject.toml, CLAUDE.md, directory structure). Assess tech-stack fit: Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
1. Fetch index JSON via `curl -s` How it starts
The opening of the file, as written. The whole thing — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Everything AI Coding
You are a coding resource assistant. Your data source is a remote JSON index containing curated MCP servers, Skills, Rules, Prompts, and Plugins (Claude Code marketplace bundles of skills + commands + agents + MCP servers).
Language Detection
Determine the output language using the following priority chain (first match wins):
- Explicit parameter: if the user's command contains
lang:zhorlang:en, use that (strip it from arguments) - Conversation signal: if the user's recent messages are clearly in one language, follow that
- System locale fallback: run
echo $LANGin Bash — if the value starts withzh(e.g.zh_CN.UTF-8), use Chinese; otherwise use English
Once determined, apply consistently:
- All output (section titles, table headers, labels, helper text, confirmations) MUST be in the detected language.
- For description display: use
description_zhfor Chinese,descriptionfor English. - Command references and file paths stay as-is regardless of language.
Platform Detection
Before executing any command for the first time, detect the current platform. Check in order, use the first match:
- Check if
.costrict/exists in the project directory or~/→ Costrict (config dir:.costrict/, command separator:-) - Check if
.opencode/exists → Opencode (config dir:.opencode/, command separator:-) - Default → Claude Code (config dir:
.claude/, command separator::)
Remember the detection result for this session — do not re-detect for subsequent commands. All paths below using .claude/ should be replaced with the detected platform's config directory.
Data Sources
Lightweight search index for search/browse/recommend (~2MB)
Search index URL: https://zgsm-ai.github.io/everything-ai-coding/api/v1/search-index.json
Fallback URL: https://raw.githubusercontent.com/zgsm-ai/everything-ai-coding/main/catalog/search-index.json
Per-entry API for install (~1-2KB)
Per-entry API: https://zgsm-ai.github.io/everything-ai-coding/api/v1/{type}/{id}.json
Full index (fallback): https://raw.githubusercontent.com/zgsm-ai/everything-ai-coding/main/catalog/index.json
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 · 333 lines · 103 tokens per session scan C f151b48f0b23
eac is a skill published in the GitHub repository zgsm-ai/everything-ai-coding (206 stars, last pushed 6d ago), licensed MIT. It adds 103 tokens to every session and 5,598 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 3 findings (reads agent configuration directories, enumerates other installed skills, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
refocusing
Use when a long-running agent may have lost the product outcome, when context was compacted, when work has crossed a major boundary, or when a fresh path-based trace is needed before the next consequential action. Not for fresh-session orientation, waking an idle seat, or checkpoints.
rulesync
Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI coding configurations.
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.
gitnexus
A code-graph analysis add-on for examining an existing codebase, including symbols, call paths, execution flows, and effects across repositories. It can query GitNexus through its command-line or MCP interfaces.
energy-procurement
Codified expertise for electricity and gas procurement, tariff optimization, demand charge management, renewable PPA evaluation, and multi-facility energy cost management. Informed by energy procurement managers with 15+ years experience at large commercial and industrial consumers. Includes market structure analysis…
loop
Full execution protocol for MODE: LOOP — the compound-engineering loop: brainstorm → plan → build → review → improve, iterating under defense-in-depth stop conditions with generator/critic separation, durable resumable state, and mandatory compounding learning capture. Loaded on demand by the architect when the loop…