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 CCDawn/codex-skills --skill briefbound-goal-loopgit clone --depth 1 https://github.com/CCDawn/codex-skillsWrote 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/ccdawn/codex-skills/briefbound-goal-loop)<a href="https://agentmods.dev/skills/ccdawn/codex-skills/briefbound-goal-loop"><img src="https://agentmods.dev/badge/skills/ccdawn/codex-skills/briefbound-goal-loop.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 | $0.00047 | $0.00774 |
| Opus 5 | $0.00023 | $0.00387 |
| Sonnet 5 | $0.00009 | $0.00155 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
briefbound-goal-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 7d 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.
What it actually says
Briefbound Goal Loop
目标
为明确要求持续迭代的开放目标提供轻量控制策略。它不替代 Briefbound Router 对齐、专项 owner、Planning 或 Project Memory，也不用于普通有限任务。
Briefbound task contract
- Context Boundary: 已对齐目标、不可破坏约束、可用范围、当前证据和停止条件。
- Output Contract: 当前最有价值动作、最新证据、
ADVANCE / ITERATE / STOP / BLOCKED和下一动作。 - Allowed Action: 在用户授权和约束内执行最小高信息动作；不因本 skill 自动扩大工具、写入或远程权限。
- Success Evidence: 当前动作产生能改变完成判断或下一选择的可检查证据。
- Stop Condition: 目标达成、约束将被突破、没有高价值动作、连续尝试无新证据、缺输入/权限或用户暂停。
- Route Out: 最具体专项 owner、继续当前 loop、
briefbound-router或 BLOCKED。
统一调用契约
- 只处理 Briefbound task contract 范围；不匹配时回
briefbound-router或更具体 owner，复合任务不吞其他 owner。 - 用户可见内容默认中文，完成只报状态、产出、证据和剩余风险；代码、命令、路径、错误原文、API/协议、skill 名和枚举保留原样；Route Out 仅以 Briefbound task contract 为准，末行写
下一步建议: <一个具体动作>。
激活闸门
必须同时满足：用户明确要求持续/反复迭代；终点不能预先拆成有限任务；每轮需要根据证据选择下一动作；没有更具体 owner。普通“继续”“优化到完成”、有限实现、已知 task graph、实验/score/research loop 和多 Agent 协调均不触发。
最小循环
- 首轮只确认
Goal / Evidence / Constraints / Stop；Briefbound Router 已提供的内容直接继承，不重复询问或展示合同。 - 选择最小且最可能产生新证据的动作，执行并验证。
- 根据证据判断：推进目标用
ADVANCE，修正方法用ITERATE，目标已达成或继续无价值用STOP，缺不可约输入/权限用BLOCKED。 - 已授权且未触发停止条件时连续迭代，不在每轮询问是否继续。
Goal Loop 是控制策略，不是状态存储。对话内续接使用 Briefbound runtime；只有用户/项目已启用跨会话 memory 且当前决定值得持久化时，才由 briefbound-project-memory 写一次 durable delta。不得逐轮生成 ledger、dashboard、完整尝试历史或重复 goal contract。
需要校准正常推进、边界澄清或阻塞停止行为时，读取 references/examples.md。
输出
普通轮次只给：本轮结果 / 新证据 / 决策 / 下一动作。只有 BLOCKED 才补已尝试的关键路径和一个不可约问题；只有用户明确要求正式交接时才路由 Completion Summary。
下一步建议: <一个具体动作>
What ships with it
2 files 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.
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.
- 7d ago First seen · 47 lines · 47 tokens per session scan A 7e787aab8d55
briefbound-goal-loop is a skill published in the GitHub repository CCDawn/codex-skills (4 stars, last pushed 25d ago), licensed MIT. It adds 47 tokens to every session and 774 once invoked, about $0.0002 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 2026-08-31.
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