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 PerryLink/dsh-industry-research --skill company-research-methodgit clone --depth 1 https://github.com/PerryLink/dsh-industry-researchWrote 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/perrylink/dsh-industry-research/company-research-method)<a href="https://agentmods.dev/skills/perrylink/dsh-industry-research/company-research-method"><img src="https://agentmods.dev/badge/skills/perrylink/dsh-industry-research/company-research-method/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/perrylink/dsh-industry-research/company-research-method"><img src="https://agentmods.dev/badge/skills/perrylink/dsh-industry-research/company-research-method.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00083 | $0.01059 |
| Opus 5 | $0.00042 | $0.00530 |
| Sonnet 5 | $0.00017 | $0.00212 |
| Haiku 4.5 | $0.00008 | $0.00106 |
Grade A, and why
company-research-method 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.
What it actually says
公司研究方法论(company-research-method)
本技能规范一次公司研究的流程与纪律,产出每个数字都能标注来源文件与行号的公司速览卡。合规底线:仅供研究,不构成投资建议;不接付费/需登录数据源(企查查、Wind 等留给用户自行导出后作为 dataFiles 传入)。
工具配合关系
company_scan({ name, dataFiles? }):读用户数据文件(主)+ctx.web公开检索(辅),落盘<industryRoot>/companies/<公司>/card.json+card.md。- 卡片落盘后由研究者(模型)在对话中基于
figureCandidates(数字候选行,带文件与行号)完成分析段;industry_report会把卡片纳入行业报告。
阶段 1:材料归集
- 用户提供数据为主:年报/公告摘录、数据表(.md/.txt/.csv/.tsv/.json;v1 不解析 PDF——请用户先转成文本)。文件必须在会话工作区内,
company_scan会拒绝越界路径并列出未采纳原因。 - 公开源为辅:
ctx.web检索公司简介/业务(官网、公告、权威媒体报道);ctx.web未挂载或 offline 时记入缺口,不得用记忆充数。 - 付费/需登录来源(企查查、Wind、Choice 等):请用户自行导出摘录后放入工作区,作为
dataFiles传入即可——本插件不直接对接。
阶段 2:速览卡框架(company_scan)
卡片三节框架,每节只写能回溯的内容:
- 业务结构:主营构成、收入分部、上下游位置;从数据文件的目录结构与正文归纳,引用时标注文件。
- 财务要点:只引用
figureCandidates命中的数字行,格式「指标:数值 单位(截至 asOf,来源 文件:行号)」;跨期比较注明口径。 - 风险点:只列来源材料中明示的风险(年报「风险提示」章节、公告、监管文书);不得凭空列举;无材料时保留「待补」。
阶段 3:深化与并入行业研究
- 需要行业坐标时,用
industry_map把公司放入产业链节点(指标槽位同样遵守来源纪律)。 industry_report会把companies/下的卡片汇总进行业报告的公司速览一节;卡片的缺口会并入报告缺口清单。
公开源清单(按优先级)
- 公司披露:官网投资者关系页、定期报告与公告原文。
- 监管与政务:证监会/交易所披露、行业主管部门政策原文(
gov.cn)。 - 权威媒体与行业协会发布;搜索引擎摘要只作线索,引用前尽量抓取原文核对。
- 不采用:匿名论坛帖、无署名转载、无法定位发布时间的页面(可作线索,不进证据)。
口径纪律与合规话术
- 每个数字三要素:数值、单位、来源(文件:行号 或 URL),尽量带 asOf;缺来源一律待补。
- 财务数据优先「公司披露口径」;媒体二手数据必须标注为二手。
- 结论性表述以「仅供研究,不构成投资建议」收尾;不预测股价、不评价买卖时点、不作评级。
- 缺口声明优于完整假象:查不到的写进缺口清单。
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 · 51 lines · 83 tokens per session scan A 1b58035a55af
company-research-method is a skill published in the GitHub repository PerryLink/dsh-industry-research (88 stars, last pushed today), licensed Apache-2.0. It adds 83 tokens to every session and 1,059 once invoked, about $0.0004 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 2026-08-30.
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