policy-analysis

policy-analysis is a skill for Claude Code, Codex from SubmergeDan/Fact-Shield. It costs 73 tokens per session (527 once invoked), scanned A, original, MIT.

A framework for analysing how a policy, regulation, or rule change may affect an industry or company. It separates confirmed provisions from predictions about their effects.

In plain words
What is it for?
Use it to identify a policy's key terms, compare new and old rules, trace effects on businesses or markets, summarise authoritative interpretations, and record open questions.
Why use it?
It helps prevent unsupported conclusions by checking the policy's source, requirements, timing, affected parties, and remaining uncertainty.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to identify a policy's key terms, compare new and old rules, trace effects on businesses or markets, summarise authoritative interpretations, and record open questions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/submergedan/fact-shield/policy-analysis
Install

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.

Any agent
npx skills add SubmergeDan/Fact-Shield --skill policy-analysis
Clone the repo
git clone --depth 1 https://github.com/SubmergeDan/Fact-Shield

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for policy-analysis

README.md
[![agentmods](https://agentmods.dev/badge/skills/submergedan/fact-shield/policy-analysis.svg)](https://agentmods.dev/skills/submergedan/fact-shield/policy-analysis)
Your own site
<a href="https://agentmods.dev/skills/submergedan/fact-shield/policy-analysis"><img src="https://agentmods.dev/badge/skills/submergedan/fact-shield/policy-analysis.svg" alt="Measured on agentmods" height="20"></a>
Per session 73 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 527 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00073 $0.00527
Opus 5 $0.00036 $0.00264
Sonnet 5 $0.00015 $0.00105
Haiku 4.5 $0.00007 $0.00053

Measured 8d ago against content hash 185014365fce, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

policy-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 8d 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.

agent/skills/policy-analysis/SKILL.md · 33 lines

What it actually says

政策影响分析框架

用于把“某个政策/规定变化”拆成可核查的要点,并区分“政策说了什么”与“会带来什么影响”。

五个核查模块

  1. 政策定位
    • 发文机关/主管部门、文件名称与文号、发布日期与生效日期、政策类型(法律/行政法规/部门规章/监管指引/自律规则)。
  2. 核心条款与规则变化
    • 硬性条款与量化要求;相对旧规则的改变/替代关系(旧规→新规)。
    • 明确的时间表、过渡期、适用范围。
  3. 影响传导
    • 影响对象:行业/企业/产品/区域/资金方。
    • 传导路径:成本、需求、准入、合规、定价、融资等。
    • 影响时点:立即/过渡期/远期;影响程度:利好/利空/中性(须有依据)。
  4. 各方解读
    • 主管部门、行业协会、主流机构的解读;区分“事实”与“观点”。
  5. 不确定性与后续
    • 未落地的细则、执行口径差异、配套政策与后续跟踪点。

使用方式

  • 主张分为两类:政策原文事实(可逐字核验)与影响推断(须标注依据、假设与不确定性)。
  • 采集时优先官方原文(政府网站/交易所/监管公告),再补权威解读。
  • 归类主张时 category 使用模块名(政策环境/风险与不确定性等),影响推断单独标注“推断”。
  • 复核时重点检查:引用是否为政策原文、推断是否有依据、利好/利空判断是否被过度放大。
Changes

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.

  1. 8d ago First seen · 33 lines · 73 tokens per session scan A 185014365fce

Subscribe to this mod's changes

policy-analysis is a skill published in the GitHub repository SubmergeDan/Fact-Shield (11 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 527 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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