Vibelution: Skill for Cursor

.cursor/skills/vibelution-continuous-optimization-loop/SKILL.md

vibelution-continuous-optimization-loop is a skill for Cursor from CCDawn/Vibelution. It costs 65 tokens per session (820 once invoked), scanned A, original, MIT.

A procedure for completing one evidence-based Vibelution improvement iteration from the return-on-investment backlog. Each iteration selects one task, isolates its work, implements it, verifies it with tests, integrates it, and records the result.

In plain words
What is it for?
Use it for `/loop` project-improvement work, including choosing a backlog item, using a worktree, running focused checks, merging approved changes, and updating the loop state.
Why use it?
It prevents broad untracked changes and unsupported claims that an improvement is complete.

Skill for Cursor

Written for Cursor: installed under .cursor/. Also seen: mentions AGENTS.md; mentions Codex.

This is CCDawn/Vibelution's own configuration. It tells Cursor how to work on Vibelution itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything Vibelution configures →

Reuse

Borrowing it

Nothing to install: this file belongs to CCDawn/Vibelution. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/CCDawn/Vibelution/main/.cursor/skills/vibelution-continuous-optimization-loop/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/CCDawn/Vibelution

Made for: Cursor.

Wrote 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.

agentmods badge for vibelution-continuous-optimization-loop

README.md
[![agentmods](https://agentmods.dev/badge/skills/ccdawn/vibelution/vibelution-continuous-optimization-loop/github.svg)](https://agentmods.dev/skills/ccdawn/vibelution/vibelution-continuous-optimization-loop)
Your own site
<a href="https://agentmods.dev/skills/ccdawn/vibelution/vibelution-continuous-optimization-loop"><img src="https://agentmods.dev/badge/skills/ccdawn/vibelution/vibelution-continuous-optimization-loop/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.

agentmods 80×15 button for vibelution-continuous-optimization-loop

Your own site · 80×15
<a href="https://agentmods.dev/skills/ccdawn/vibelution/vibelution-continuous-optimization-loop"><img src="https://agentmods.dev/badge/skills/ccdawn/vibelution/vibelution-continuous-optimization-loop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 820 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium MCP Rug Pull · line 24
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00065 $0.00820
Opus 5.5 $0.00026 $0.00328
Sonnet 5.5 $0.00013 $0.00164
Haiku 4.5 $0.00006 $0.00082

Measured 2mo ago against content hash fadf2d7e71bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

vibelution-continuous-optimization-loop 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 2mo 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.

.cursor/skills/vibelution-continuous-optimization-loop/SKILL.md · 81 lines

What it actually says

Vibelution 持续优化 Loop

每轮 = 一次 ROI 迭代。禁止一轮多 item、禁止无验证宣称完成。

启动

  • 固定节奏:/loop 30m + 本 skill
  • 动态:/loop + 本 skill(自设 heartbeat;有 CI/log watcher 时优先事件唤醒)
  • 读 .runtime/loop/STATE.md(无则创建)与 docs/guides/agent-dev-roi-backlog.md

红线(摘要)

  • 根 main 只读;写入在 .worktrees/<task-slug> + codex/<task-slug>
  • AGENTS.md → docs/guides/loop.md → docs/standards/
  • FE 可见 UI 必须 VUI;改 web/ 合入前 npx tsc -b --pretty false
  • 无授权 push/PR;无可见控制台;合入门通过后主动 git merge --ff-only + cleanup

单轮顺序

  1. 选 1 项 — backlog 最高 ROI 且 Status=todo(P0→P1→P2);遵守热文件冲突表
  2. CLASSIFY — FAST_PATCH | STANDARD_TASK | HIGH_RISK
  3. LOCATE — route.md + ownership.md + 域 README + 测试
  4. ISOLATE — STANDARD+ 开 worktree;多 Agent 时 claim
  5. IMPLEMENT — 最小 diff,只改 owner surface
  6. VERIFY — select_tests.py --from-git main --commands-only → 聚焦 pytest;FE 触面 + contract + tsc -b
  7. INTEGRATE — 自审 → ff-only merge → cleanup
  8. RECORD — 更新 backlog Status;append .runtime/loop/STATE.md

机器验证(backpressure)

Agent 不得自评通过。fail → ITERATE(同 ROI,最多 2 轮)→ 仍 fail → BLOCKED。

每轮输出

Loop 轮次: <N>
ROI-ID: Rxx
决策: ADVANCE | ITERATE | BLOCKED | STOP
本轮结果: …
新证据: <命令 + pass/fail>
Agent 便利变化: …
merge: merged | not merged + 原因
下一动作: …

STOP

满足任一时末尾输出 exact 字符串:

<promise>VIBELUTION_LOOP_STOP</promise>

  • P0/P1/P2 无剩余 todo(或仅 blocked 且无新证据)
  • 连续 3 轮 ITERATE/BLOCKED 无新证据
  • HIGH_RISK 缺用户确认
  • claim/diff 冲突无法协商

禁止

  • 一轮多个 ROI
  • 为 loop 写长文档而不改代码/门禁
  • loopmaxxing(重复已通过项)

STATE 模板

见 state-template.md

参考

  • 执行环:docs/guides/loop.md
  • 工作队列:docs/guides/agent-dev-roi-backlog.md
  • Ralph / Loop Engineering:固定 prompt + 磁盘状态 + 独立 verifier + max iterations
Files

What ships with it

1 file 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.

Changes

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.

  1. 2mo ago First seen · 81 lines · 65 tokens per session scan A fadf2d7e71bd

Subscribe to this mod's changes

vibelution-continuous-optimization-loop is a skill published in the GitHub repository CCDawn/Vibelution (79 stars, last pushed yesterday), licensed MIT. It adds 65 tokens to every session and 820 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-08-30.

Related

vibelution-continuous-optimization-loop compared with skills from other repositories

vibelution-continuous-optimization-loop next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
vibelution-continuous-optimization-loopCCDawn/VibelutionSkill79yesterdayMITA65Cursor
agent-prompt-auditavibe-bot/avibeSkill637todayMITA105Codex
computer-useavibe-bot/avibeSkill637todayMITA19Claude Code, Codex
background-watch-hookavibe-bot/avibeSkill637todayMITA32Claude Code, Codex
create-agentPM-Shawn/Abu-CoworkSkill4192d agoApache-2.0A13Claude Code
use-avibe-harnessavibe-bot/avibeSkill637todayMITA36Claude Code, Codex
use-avibe-vaultavibe-bot/avibeSkill637todayMITA36Claude Code, Codex