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 SubmergeDan/Fact-Shield --skill company-analysisgit clone --depth 1 https://github.com/SubmergeDan/Fact-ShieldWrote 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/submergedan/fact-shield/company-analysis)<a href="https://agentmods.dev/skills/submergedan/fact-shield/company-analysis"><img src="https://agentmods.dev/badge/skills/submergedan/fact-shield/company-analysis/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/submergedan/fact-shield/company-analysis"><img src="https://agentmods.dev/badge/skills/submergedan/fact-shield/company-analysis.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 | $0.00101 | $0.00750 |
| Opus 5 | $0.00051 | $0.00375 |
| Sonnet 5 | $0.00020 | $0.00150 |
| Haiku 4.5 | $0.00010 | $0.00075 |
Grade A, and why
company-analysis 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 10d 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
企业研究分析框架
研究企业先研究行业，再放到产业链里定位，最后回到公司本身。本技能用于拆解核查点、组织采集关键词、归类主张与检查遗漏。
七个核查模块
- 行业与产业链
- 行业整体：过去发展历史、现状、未来趋势；行业规模与增速。
- 产业链上中下游：各环节成本、利润分布、议价能力；公司所处环节与位置。
- 竞争格局：主要玩家、市场份额、集中度；公司与行业平均的比较维度。
- 政策环境
- 主管部门与行业协会、相关法律法规与硬性条款、近期规则变化。
- 政策对行业需求、成本、准入、定价的传导路径。
- 公司历史/治理与团队
- 成立时间、注册资本、主营业务、发展历史；股权结构与变化。
- 核心团队（CEO/CTO/CFO/董事/董监高）：教育背景、从业经历、任职时长与稳定性。
- 核心技术能力
- 研发投入与核心能力、生产工艺变化与提升。
- 壁垒：独立性、排他性、不可替代性、知识产权/专利。
- 产品与市场
- 产品竞争力与溢价能力、市场占有率、利润稳定性。
- 横向拓展能力：核心板块向相关板块的衍生。
- 财务表现
- 资产负债率、利润水平/利润率、逐月/逐年变化。
- 收入来源构成与可持续性；与行业平均对比（高/低及原因）。
- 抗风险与综合研判
- 现金流、偿债与融资能力、关键风险点。
- 综合研判：区分“已证实事实”与“分析性观察”，观察须标注依据与不确定性。
使用方式
- 拆解任务时：按以上模块生成核查点，避免只盯财务数字。
- 采集时：每个模块至少覆盖一类公开信源（年报/招股说明书/公告/研报/行业数据/官方统计）。
- 归类主张时：category 使用模块名（行业与产业链/政策环境/公司治理与团队/技术核心能力/产品与市场/财务表现/风险与不确定性/其他）。
- 复核时：检查跨模块一致性、指标口径与时间范围是否统一、是否与行业平均做了比较。
- 参考文档：上市公司的“年报”（年度报告，含经营与财务）和“招股说明书”（企业研究框架范本）。
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.
- 10d ago First seen · 43 lines · 101 tokens per session scan A 377c7dfb344f
company-analysis is a skill published in the GitHub repository SubmergeDan/Fact-Shield (12 stars, last pushed 1mo ago), licensed MIT. It adds 101 tokens to every session and 750 once invoked, about $0.0005 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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