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 TashanGKD/cognitive-os --skill cognitive-daily-briefinggit clone --depth 1 https://github.com/TashanGKD/cognitive-osWrote 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/tashangkd/cognitive-os/cognitive-daily-briefing)<a href="https://agentmods.dev/skills/tashangkd/cognitive-os/cognitive-daily-briefing"><img src="https://agentmods.dev/badge/skills/tashangkd/cognitive-os/cognitive-daily-briefing/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.
<a href="https://agentmods.dev/skills/tashangkd/cognitive-os/cognitive-daily-briefing"><img src="https://agentmods.dev/badge/skills/tashangkd/cognitive-os/cognitive-daily-briefing.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00069 | $0.01512 |
| Opus 5 | $0.00034 | $0.00756 |
| Sonnet 5 | $0.00014 | $0.00302 |
| Haiku 4.5 | $0.00007 | $0.00151 |
Grade A, and why
cognitive-daily-briefing 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 11d 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.
How it starts
The opening of the file, as written. The whole thing — 117 lines — stays where its author put it; the contents beside it link to each section on GitHub.
每日汇报 Skill(Daily Briefing)
秘书向老板汇报:整合所有积压的信息,生成结构化汇报,并主动提问不确信的地方,帮助用户高效恢复上下文并做出今日决策。
知识导航表(执行前必须理解的概念根)
| 层级 | 文档 | 需要理解的概念 |
|---|---|---|
| D0 认知根(必读) | cognitive/L0_brain_map.md |
认知体系全景:各L1文档状态、L2碎片积压情况、当前体系健康度 |
| D3 规范参考 | — | 本 Skill 为只读查询,无修改操作,无需规范参考 |
| D4 运行时数据 | cognitive/L3_logs/system_log.md + L2碎片整合索引.md + logs/task_log.md |
S-objects历史(已发生了什么)+ G缓冲区状态(积压了什么) |
核心概念速查: ① 只读操作:本 Skill 只读取S-objects和状态文件,不修改任何K-object或B-object ② 汇报结构:积压告警(PENDING)> 最近更新(S-objects)> 状态快照(L0扫描) ③ 积压优先级:PENDING-EXPERIENCES条目 > 碎片整合索引待处理 > 任务日志遗留事项
激活后立即执行
Step 1 读取全系统最新状态
Read: cognitive/L3_logs/system_log.md(最近N条,今日记录)
Read: cognitive/L3_logs/todo.md
Read: cognitive/L2_fragments/fragment_index.md
Read: cognitive/L1.5_principles/principles.md(候选原则部分)
Read: cognitive/L0_brain_map.md(当前Gap状态)
Step 2 整理"自上次以来"的变化
基于系统日志,提炼:
→ 上次汇报/复盘以来,新增了哪些碎片?
→ 哪些文档发生了变化(变更记录)?
→ 有没有新确认的原则?
→ 有没有解决了哪些矛盾?
Step 2.5 全量一致性检查日期监控(CS-015 修复)
扫描系统日志,找最近一次 cognitive-consistency-check(C1-C11)的执行记录
IF 找到记录,距今 > 7天:
→ 在「待处理积压」中加入:
「🔍 全量一致性检查:已 N 天未运行(建议每7天运行一次 C1-C11)」
IF 找到记录,距今 ≤7天:
→ 静默,不添加该条
IF 未找到记录(从未运行过):
→ 在「待处理积压」中加入:
「🔍 全量一致性检查:从未运行过——建议在首次汇报后触发 cognitive-consistency-check」
Step 3 生成结构化汇报
「━━━━━━━━━━━━━━━━━━━━━━━━━━━
📋 认知系统汇报(YYYY-MM-DD)
━━━━━━━━━━━━━━━━━━━━━━━━━━━
【自上次以来的变化】
· 新增碎片:N 个(F-XXX「...」、F-YYY「...」)
· 文档更新:[文档A]([修改摘要])
· 新确认原则:[P? | 无]
· 矛盾消解:[N个 | 无]
【待处理积压】
· 🔲 待整合碎片:N 个(最旧:F-XXX,[N]天前)
· 🔴 高优先级待办:M 项
· 💡 候选原则待确认:K 个(P?「...候选表述...」)
【需要您决策的事项】
(以下是我不确定的地方,需要您给方向)
1. 「[不确信的内容或问题]」
2. 「[另一个需要用户判断的地方]」
━━━━━━━━━━━━━━━━━━━━━━━━━━━
建议今日优先:
[处理碎片整合] [确认候选原则] [完成待办TOP1] [自由决定]」
Step 4 等待用户回应
→ 用户选择某个行动 → 过渡到对应 Skill
→ 用户回答了提问 → 判断是否要记录为新碎片(询问用户)
→ 用户说「没有」或「知道了」→ 结束
Step 5 追加 cognitive/L3_logs/system_log.md
[LOG-今日日期-NN] cognitive-daily-briefing | 生成每日汇报 | 无文档变更
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.
- 11d ago First seen · 117 lines · 69 tokens per session scan A fbd849f2bb01
cognitive-daily-briefing is a skill published in the GitHub repository TashanGKD/cognitive-os (9 stars, last pushed 5mo ago), licensed MIT. It adds 69 tokens to every session and 1,512 once invoked, about $0.0003 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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