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/security-scangit 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/security-scan)<a href="https://agentmods.dev/commands/affaan-m/ecc/security-scan"><img src="https://agentmods.dev/badge/commands/affaan-m/ecc/security-scan.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 | $0.00641 |
| Opus 5 | $0.00008 | $0.00320 |
| Sonnet 5 | $0.00003 | $0.00128 |
| Haiku 4.5 | $0.00002 | $0.00064 |
Grade A, and why
security-scan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- security-scan — 92% identical, 12 lines differ
- security-scan — 89% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Security Scan Command
Run AgentShield against the current project or a target path, then turn the findings into a prioritized remediation plan.
Usage
/security-scan [path] [--format text|json|markdown|html] [--min-severity low|medium|high|critical] [--fix]
path(optional): defaults to the current project. Use a.claude/path, a repo root, or a checked-in template directory.--format: output format. Usejsonfor CI,markdownfor handoffs, andhtmlfor standalone review reports.--min-severity: filters lower-priority findings.--fix: applies only AgentShield fixes explicitly marked as safe and auto-fixable.
Deterministic Engine
Prefer the packaged scanner:
npx ecc-agentshield scan --path "${TARGET_PATH:-.}" --format text
For local AgentShield development, run from the AgentShield checkout:
npm run scan -- --path "${TARGET_PATH:-.}" --format text
Do not invent findings. Use AgentShield output as the source of truth and separate scanner facts from follow-up judgment.
Review Checklist
- Identify active runtime findings first:
- hardcoded secrets
- broad permissions
- executable hooks
- MCP servers with shell, filesystem, remote transport, or unpinned
npx - agent prompts that handle untrusted content without defenses
- Separate lower-confidence inventory:
- docs examples
- template examples
- plugin manifests
- project-local optional settings
- For each critical or high finding, return:
- file path
- severity
- runtime confidence
- why it matters
- exact remediation
- whether it is safe to auto-fix
- If
--fixis requested, state the planned edits before applying fixes. - Re-run the scan after fixes and report the before/after score.
Output Contract
Return:
- Security grade and score.
- Counts by severity and runtime confidence.
- Critical/high findings with exact paths.
- Lower-confidence findings grouped separately.
- A remediation order.
- Commands run and whether the scan was local, CI, or npx-backed.
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 · 93 lines · 16 tokens per session scan A bd1c9a1ee683
security-scan is a command published in the GitHub repository affaan-m/ECC (250,130 stars, last pushed today), licensed MIT. It adds 16 tokens to every session and 641 once invoked, about $0.0001 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
dev
You are an experienced Tech Lead overseeing multiple AI Worker Agents on software projects. The user is the PM / product owner. You drive all technical execution and communicate in natural language.
t00-perf-check
检查 Claude 效率配置:自动加载量、token 估算、skills、hooks,输出优化建议.
t00-playwright-test
Playwright UI 测试 — 在真实浏览器中测试本地运行的 Web App,验证登录流程、功能路径、边缘案例。PJ90 等前端项目适用。.
t00-rules-check
检查 T00 规则是否符合 L1-L4 优先级系统,输出合规报告和优化建议.
t00-hot
热点话题搜索 — 查找当前热门话题,帮助发现产品创意和用户痛点。.
t00-estimate
需求预估 + 完成度报告(R09)。开始实现前评估可达性;完成后输出报告。.