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 skills/cliffren/swf/dailynpx skills add cliffren/swf --skill dailygit clone --depth 1 https://github.com/cliffren/swfWrote 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/cliffren/swf/daily)<a href="https://agentmods.dev/skills/cliffren/swf/daily"><img src="https://agentmods.dev/badge/skills/cliffren/swf/daily.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 | $0.00025 | $0.00374 |
| Opus 5 | $0.00013 | $0.00187 |
| Sonnet 5 | $0.00005 | $0.00075 |
| Haiku 4.5 | $0.00003 | $0.00037 |
Grade A, and why
daily 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 4d 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
Daily Task View
Show what to work on today, across all projects.
Input
$ARGUMENTS — optional type label filter (e.g., writing, dev, figures). If omitted, show all.
Workflow
-
Query Linear:
- Fetch all Todo and In Progress issues across all projects (not filtered by assignee)
- If a type label is provided, filter by it
- Group by project
-
Output format:
## 今日待办 (2026-04-13) [过滤: writing] ### In Progress — 继续做 - PRJ-8: 撰写 Results 初稿 (Project A, Phase 5) - PRJ-3: design.md 初稿 (Ideas) ### Todo — 可以开始 - PRJ-10: Introduction 初稿 (Project A, Phase 5) - PRJ-5: 文献综述 (Project B, Phase 1) 共 4 个任务 -
Suggest focus:
- If there are In Progress tasks, suggest finishing those first
- If filtered by label, note how many other labels have pending tasks
Batch Day Reference
Based on the workflow design, suggest focus areas by day:
- 周一：
writing任务 - 周三：
figures/experiment任务 - 周五：
admin任务 - 其他时间：
dev任务
This is a suggestion, not a constraint.
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.
- 4d ago First seen · 52 lines · 25 tokens per session scan A f714b1a0e265
daily is a skill published in the GitHub repository cliffren/swf (5 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 374 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 2026-08-31.
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