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security-writeup-bad-effects

该技能用于审阅或完善防御性安全/事件分析类文章(如恶意软件剖析),在每节正文末尾补写一段以 Bad effect: 开头的说明,点出读者若低估该节会遭受的具体危害及其失效模式。方法论类章节改用 (methodology alert) 变体,警示调查者自身风险;证据/警示章节则阐明“未被证实≠无害”的双面性。输入为目标文章路径,输出为逐节标注危害的原文,不新增事实,措辞平实。

j3ffyang
j3ffyang
热度 7.62
最近更新 2026-09-30 16:45:20
分类:安全依赖:读写文件 / 代码执行应用场景:报告撰写 / 研究

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add security-writeup-bad-effects
Metadata
name
security-writeup-bad-effects
description
Add a plain per-section "Bad effect:" statement to each section of a defensive security or incident-analysis write-up, naming the concrete harm and the failure mode. Use when reviewing or finishing a security/analysis article (e.g. a malware dissection) or when the user asks what the bad effect of a section is or wants each section annotated.

Security Write-up — Per-Section Bad Effects

Security write-ups tend to describe a finding in neutral, structural terms ("the file is wired into the build", "the token counts are suspicious"). A reader can finish a section without registering what it actually costs them. Add one Bad effect statement per substantive section: the concrete harm a reader would suffer, and the failure mode that lets it land.

Inputs

  • target — path to the article in ai-thoughts/docs/ (optional). If omitted, apply to the security article currently being worked on.

Outputs

  • The article with one **Bad effect:** paragraph per substantive section.

Procedure

  1. Read the article and list its sections in order (red flags, dynamic analysis, capability, evidence, response, cleanup, and so on).
  2. For each section, identify the harm it implies and the assumption it destroys. Ask: "if a reader under-reacts to this section, what do they lose?" and "which comfortable assumption does this section refute?"
  3. Write one short paragraph led by **Bad effect:**, naming (a) the concrete harm and (b) the failure mode or the trust check it defeats. Keep the article's voice and add no new facts.
  4. For analyst-methodology sections (sandboxing, evidence handling), use **Bad effect (methodology alert):** — the harm is to the investigator (partial containment, residual exposure), not to the victim.
  5. For caveat / evidence sections, spell out the double edge: "not proven" is not "not malicious"; symmetrically, do not over-claim a demonstrated theft.
  6. Place the statement at the end of the section's prose, after its claim and before the next heading.
  7. Run python scripts/unwrap_md.py --check; regenerate the READMEs only if the article's articles.yaml description changed.

Constraints

  • One per section. A single paragraph that summarizes the section's harm — not one per bullet.
  • Concrete, not generic. Name the harm ("runs as you with process.env + fs + child_process reach"), not "this is dangerous".
  • No new facts. Everything must follow from the section's own content.
  • Plain and calm. State the effect; don't sensationalize.
  • Defensive framing only. For a malware write-up the "bad effect" is what the payload does to the victim — never operational or attacker-enabling detail.

Verification

  • Every substantive section carries exactly one Bad-effect statement.
  • Each names a specific harm and a failure mode, not a vague warning.
  • Methodology sections use the (methodology alert) variant.
  • Reading only the Bad-effect paragraphs, top to bottom, tells the article's risk story.

Error Handling

  • User says no: skip; leave the article as-is.
  • Article already annotated: verify one-per-section; remove duplicates rather than adding more.
  • Not a security/analysis article: do not apply to essays, translations, READMEs, or articles.yaml.