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Agent skill

Continuous Agent Loop

by affaan-m in affaan-m/ECC

“具有质量门、评估和恢复控制的连续自主代理循环模式。”

— description from SKILL.md by affaan-m
MITAuto-check passedAgent Workflows

Install Continuous Agent Loop

skills CLI
$ npx skills add affaan-m/ECC --skill continuous-agent-loop -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install affaan-m/ECC continuous-agent-loop --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/affaan-m/ECC.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/zh-CN/skills/continuous-agent-loop .claude/skills/continuous-agent-loop && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
continuous-agent-loop
GitHub stars
275k
Token cost
~161 tokens
SKILL.md length
33 words
Files
1
Skills in repo
645
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 4 steps: RFC 分解 (ralphinho-rfc-pipeline) → 质量门 (plankton-code-quality +… → 评估循环 (eval-harness) → …
  • SKILL.md covers 循环选择流程, 组合模式, 故障模式 and 恢复
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

About this skill

Continuous Agent Loop is a skill in affaan-m/ECC (275k stars). Its SKILL.md is about 161 tokens. Licence: MIT.

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. RFC 分解 (ralphinho-rfc-pipeline)
  2. 质量门 (plankton-code-quality + /quality-gate)
  3. 评估循环 (eval-harness)
  4. 会话持久化 (nanoclaw-repl)

What it can do on your machine

Read from SKILL.md and the folder at commit ef648e0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Continuous Agent Loop loads about 161 tokens when it runs. Until then it costs about 12 tokens; SKILL.md has 33 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~12
When it runs · the whole SKILL.md, loaded when a task matches
~161

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from affaan-m/ECC at commit ef648e0, republished under its MIT licence (© affaan-m). 33 words, ~161 tokens.

Download SKILL.mdSave it as .claude/skills/continuous-agent-loop/SKILL.md (or your agent's skills folder).
name
continuous-agent-loop
description
具有质量门、评估和恢复控制的连续自主代理循环模式。
origin
ECC

持续代理循环

这是 v1.8+ 的规范循环技能名称。它在保持一个发布版本的兼容性的同时，取代了 autonomous-loops。

循环选择流程

text
Start
  |
  +-- 需要严格的 CI/PR 控制？ -- yes --> continuous-pr
  |
  +-- 需要 RFC 分解？ -- yes --> rfc-dag
  |
  +-- 需要探索性并行生成？ -- yes --> infinite
  |
  +-- default --> sequential

组合模式

推荐的生产栈：

  1. RFC 分解 (ralphinho-rfc-pipeline)
  2. 质量门 (plankton-code-quality + /quality-gate)
  3. 评估循环 (eval-harness)
  4. 会话持久化 (nanoclaw-repl)

故障模式

  • 循环空转，没有可衡量的进展
  • 因相同根本原因而重复重试
  • 合并队列停滞
  • 无限制升级导致的成本漂移

恢复

  • 冻结循环
  • 运行 /harness-audit
  • 将范围缩小到失败单元
  • 使用明确的验收标准重放

© affaan-m, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in docs/zh-CN/skills/continuous-agent-loop of affaan-m/ECC.

Open the folder on GitHubat commit ef648e0

Compare with similar skills

Continuous Agent Loop next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Continuous Agent Loop compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Continuous Agent Loop this skillaffaan-m/ECC275k—~161Automated safety check: PassMIT
Show Me Your Work Decision Logcursor/plugins10k9 repos~1.6kAutomated safety check: PassNone
Autoresearch Iteration Loopuditgoenka/autoresearch6.5k1 repos~2kAutomated safety check: PassMIT
PUA Looptanweai/pua20k1 repos~1.1kAutomated safety check: PassMIT
AutopilotYeachan-Heo/oh-my-claudecode40k1 repos~4.4kAutomated safety check: PassMIT
Install Loop Engineeringcobusgreyling/loop-engineering11k1 repos~648Automated safety check: PassMIT

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Categories

Questions about Continuous Agent Loop

How do I install Continuous Agent Loop in Claude Code?

Run `npx skills add affaan-m/ECC --skill continuous-agent-loop -a claude-code`. Or copy the skill folder (docs/zh-CN/skills/continuous-agent-loop in affaan-m/ECC) into .claude/skills/continuous-agent-loop in your project. Claude Code loads it when a task matches its description.

How do I install Continuous Agent Loop in Codex?

Run `npx skills add affaan-m/ECC --skill continuous-agent-loop -a codex`. Or copy the skill folder (docs/zh-CN/skills/continuous-agent-loop in affaan-m/ECC) into .agents/skills/continuous-agent-loop in your project. Codex loads it when a task matches its description.

Can I use Continuous Agent Loop in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add affaan-m/ECC --skill continuous-agent-loop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/continuous-agent-loop, .gemini/skills/continuous-agent-loop, .github/skills/continuous-agent-loop and .opencode/skills/continuous-agent-loop in your project.

What does Continuous Agent Loop need to run?

SKILL.md names no scripts, command-line tools or credentials: Continuous Agent Loop is instructions for the agent only.

Does Continuous Agent Loop access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Continuous Agent Loop safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Continuous Agent Loop use?

Continuous Agent Loop is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Continuous Agent Loop use?

About 161 tokens (SKILL.md is roughly 644 characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Continuous Agent Loop?

Skills that share tags, products or a category with Continuous Agent Loop: Show Me Your Work Decision Log (cursor/plugins, 10k stars), Autoresearch Iteration Loop (uditgoenka/autoresearch, 6.5k stars), PUA Loop (tanweai/pua, 20k stars) and Autopilot (Yeachan-Heo/oh-my-claudecode, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Continuous Agent Loop?

affaan-m (a GitHub user) maintains it in affaan-m/ECC, which has 275,023 GitHub stars. The repository holds 645 skills in this directory. The repository was last updated on October 5, 2026.

Source: affaan-m/ECC on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.