Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add mayuemarsha-del/pm-skills/plugin install pm-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/mayuemarsha-del/pm-skills/daily-research)<a href="https://agentmods.dev/skills/mayuemarsha-del/pm-skills/daily-research"><img src="https://agentmods.dev/badge/skills/mayuemarsha-del/pm-skills/daily-research/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/mayuemarsha-del/pm-skills/daily-research"><img src="https://agentmods.dev/badge/skills/mayuemarsha-del/pm-skills/daily-research.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 | $0.00178 | $0.00930 |
| Opus 5 | $0.00089 | $0.00465 |
| Sonnet 5 | $0.00036 | $0.00186 |
| Haiku 4.5 | $0.00018 | $0.00093 |
Grade A, and why
daily-research 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 12d 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
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每日调研简报
1.1. 这个 skill 做什么
按需在当前会话里跑一次领域调研，产出当日中文简报。
会话里联网（WebSearch / WebFetch）走的是 Claude Code 自带通道，代理和登录都正常，比无人值守跑（容易被
403 Request not allowed拒）更可靠。1.2. 调研规格的唯一来源
调研范围、重点对象、输出三段式格式、链接真实性自检等全部规则，以下面这个文件为准，每次执行前先完整读一遍：
<RESEARCH_DIR>/prompt.md<RESEARCH_DIR>由用户在 CLAUDE.md 中配置（如/Users/you/research/daily/）。首次使用前：把
references/example-prompt.md复制到<RESEARCH_DIR>/prompt.md，改成你关心的方向（金融监管 / 跨境电商 / 某垂直行业 / AI 应用层 等），不要把规则抄进本 skill。调整调研内容的方式就是改那个prompt.md；本 skill 只负责「按它执行 + 落到正确的文件」。这样两边不会漂移。 -
执行步骤
2.1. 读
<RESEARCH_DIR>/prompt.md，作为本次调研的完整规格。 2.2. 确定今天日期（用环境里的当前日期，格式YYYY-MM-DD），作为 prompt.md 里说的【今日日期】。 2.3. 先用 Glob / Read 看<RESEARCH_DIR>/下最近几份历史简报，与历史去重，不重复昨天已报的内容。 2.4. 按 prompt.md 的范围用 WebSearch / WebFetch 实际联网调研。链接必须是本次真实打开过的页面；找不到一手来源的条目整条删掉，宁缺毋造。 2.5. 按 prompt.md 的「输出要求」组织简报。 2.6. 写文件前自检：每条非〔判断〕的事实条目必须带本次真实访问过的链接，否则整条删掉。 2.7. 用 Write 写入<RESEARCH_DIR>/<今天日期>.md。当天文件已存在时，先读一眼确认是同日重跑，再覆盖。 -
边界（重要）
3.1. 只产出
<RESEARCH_DIR>/<日期>.md这一个文件。 3.2. 不要自动归档到长期知识库（用户可能有competition/research/这种长期目录）—— 简报末尾给「归档建议清单」就行，归档由用户 review 后自己做。 -
完成后
给用户一句话回执：当天日期、简报文件路径、今日最值得看的 2–3 条，让用户决定要不要归档。
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References
5.1.
references/example-prompt.md— 调研规格示例（示例文件，用户应复制到<RESEARCH_DIR>/prompt.md并按自己关心的方向改写）。
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.
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.
- 12d ago First seen · 49 lines · 178 tokens per session scan A a195141e95d1
daily-research is a skill published in the GitHub repository mayuemarsha-del/pm-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 178 tokens to every session and 930 once invoked, about $0.0009 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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