ECC is a toolkit that organizes and improves how coding agents work through skills, memory, security checks, research practices, and related extensions. It is for developers using agents such as Claude Code, Codex, OpenCode, and Cursor.
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 commands/affaan-m/ecc/skill-creategit clone --depth 1 https://github.com/affaan-m/ECCWrote 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/commands/affaan-m/ecc/skill-create)<a href="https://agentmods.dev/commands/affaan-m/ecc/skill-create"><img src="https://agentmods.dev/badge/commands/affaan-m/ecc/skill-create.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 | $0.00006 | $0.00530 |
| Opus 5 | $0.00003 | $0.00265 |
| Sonnet 5 | $0.00001 | $0.00106 |
| Haiku 4.5 | $0.00001 | $0.00053 |
Grade A, and why
skill-create 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 2d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- skill-create — 100% identical, 0 lines differ
- skill-create — 100% identical, 0 lines differ
- skill-create — 100% identical, 0 lines differ
- skill-create — 100% identical, 0 lines differ
- skill-create — 100% identical, 0 lines differ
- skill-create — 100% identical, 0 lines differ
- skill-create — 92% identical, 2 lines differ
- skill-create — 91% identical, 4 lines differ
What it actually says
Skill Create Command
Analyze git history to generate Claude Code skills: $ARGUMENTS
Your Task
- Analyze commits - Pattern recognition from history
- Extract patterns - Common practices and conventions
- Generate SKILL.md - Structured skill documentation
- Create instincts - For continuous-learning-v2
Analysis Process
Step 1: Gather Commit Data
# Recent commits
git log --oneline -100
# Commits by file type
git log --name-only --pretty=format: | sort | uniq -c | sort -rn
# Most changed files
git log --pretty=format: --name-only | sort | uniq -c | sort -rn | head -20
Step 2: Identify Patterns
Commit Message Patterns:
- Common prefixes (feat, fix, refactor)
- Naming conventions
- Co-author patterns
Code Patterns:
- File structure conventions
- Import organization
- Error handling approaches
Review Patterns:
- Common review feedback
- Recurring fix types
- Quality gates
Step 3: Generate SKILL.md
# [Skill Name]
## Overview
[What this skill teaches]
## Patterns
### Pattern 1: [Name]
- When to use
- Implementation
- Example
### Pattern 2: [Name]
- When to use
- Implementation
- Example
## Best Practices
1. [Practice 1]
2. [Practice 2]
3. [Practice 3]
## Common Mistakes
1. [Mistake 1] - How to avoid
2. [Mistake 2] - How to avoid
## Examples
### Good Example
```[language]
// Code example
Anti-pattern
// What not to do
### Step 4: Generate Instincts
For continuous-learning-v2:
```json
{
"instincts": [
{
"trigger": "[situation]",
"action": "[response]",
"confidence": 0.8,
"source": "git-history-analysis"
}
]
}
Output
Creates:
skills/[name]/SKILL.md- Skill documentationskills/[name]/instincts.json- Instinct collection
TIP: Run /skill-create --instincts to also generate instincts for continuous learning.
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.
- 2d ago First seen · 118 lines · 6 tokens per session scan A 61fa979c3036
skill-create is a command published in the GitHub repository affaan-m/ECC (250,130 stars, last pushed today), licensed MIT. It adds 6 tokens to every session and 530 once invoked, about $0.0000 per session on Opus 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 2026-09-03.
Other commands, from other repositories
update-documentation
You are a release engineer responsible for maintaining the root-level CHANGELOG.md and verifying plugin READMEs. Analyze git changes, update the single CHANGELOG.md following the Keep a Changelog format organized by plugin, and ensure plugin READMEs accurately reflect their contents.
t00-git
Git 操作助手 — Use when working with Git commits, branches, merge conflicts, pull requests, or version control.
t00-publish
发布项目到 github-pub 暂存区,准备推送 GitHub.
auto
계획부터 PR까지 원버튼 자동 실행. 중간에 멈추지 않습니다.
sync
Command "sync" from sangrokjung/claude-forge, covering /sync - git pull + 문서 동기화, 플래그, phase 1: git pull (--no-pull 시 스킵), 1-1. 현재 상태 확인 and 1-2. pull 실행.
worktree-cleanup
PR 완료 후 Git Worktree 정리 (v6).