Case 04519
A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.
npx -y skills add knownasnaffy/prompthound --skill case_04519Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.
2 things to look at
- no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
- 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Full-stack B2B marketing execution skill equivalent to a 10-person agency team. Use for: building ICP and brand messaging, generating multi-platform content matrices, writing cold email sequences, SEO topic cluster strategy, competitor battle cards, content repurposing (1 long-form → LinkedIn/X/TikTok/Xiaohongshu), and monthly/quarterly marketing reports. Covers Chinese platforms (抖音, 小红书, 微信) and Western platforms (LinkedIn, YouTube, Instagram, X). Triggers on: marketing strategy, social media content, SEO analysis, competitor research, email sequence, content calendar, hashtag, ICP, 营销策略, 社媒内容, 竞品分析, 内容日历, 邮件序列.
SKILL.md
3.5 KB, 734 tokens by cl100k_base, as published. Nobody here has run it
Super Marketing Pro
Full-stack B2B marketing skill. Always run strategy_builder.py first to define ICP before generating any content.
Golden Rule: Strategy First
Never generate copy without an ICP. The workflow is always: ICP → Content → Repurpose → Distribute → Monitor → Report
Scripts
All scripts are in scripts/. Run with python3. Requires openai package (pip3 install openai).
| Script | Function | Key Args |
|---|---|---|
strategy_builder.py | Generate ICP, messaging framework, elevator pitch | --industry --product |
content_repurposer.py | 1 long-form doc → multi-platform content matrix | --source <file.md> --platforms |
hashtag_generator.py | Platform-specific hashtag matrix | --content --platforms "linkedin,douyin,xiaohongshu" |
content_calendar.py | Weekly/monthly publishing schedule | --months --output <file.csv> |
email_sequence_generator.py | 5-stage cold email sequence | --target --stages |
seo_analyzer.py | LLM-powered Topic Cluster strategy | --seed-keyword --depth deep |
competitor_monitor.py | Batch competitor battle cards | --batch-list <file.txt> --export-format json |
data_reporter.py | Multi-month cross-platform ROI report | --type monthly --months 1,2,3 |
llm_utils.py | Shared LLM utility (auto-imported) | — |
llm_utils.py uses OPENAI_API_KEY env var. Default model: gemini-3.0-flash. Includes exponential backoff retry (3 attempts).
Execution Workflow
Stage 1 — Strategy: Run strategy_builder.py → get ICP, buyer personas, messaging pillars.
Stage 2 — Content Creation: Based on goal:
- Awareness/SEO: Run
seo_analyzer.py→ write long-form pillar content. - Lead Gen: Read
references/content_templates.md→ write whitepaper or case study. - Outbound: Run
email_sequence_generator.py.
Stage 3 — Repurpose: Run content_repurposer.py on any long-form asset → get LinkedIn post, X thread, TikTok/Douyin script, Xiaohongshu note.
Stage 4 — Distribute: Run hashtag_generator.py for tags, then content_calendar.py for scheduling.
Stage 5 — Convert: Run email_sequence_generator.py for lead nurturing sequences.
Stage 6 — Monitor & Report: Run competitor_monitor.py for battle cards, data_reporter.py for attribution reports.
Knowledge Base (References)
Load the relevant reference file before executing platform-specific tasks:
Strategy: abm_framework.md (ABM + sales alignment), messaging_icp_guide.md (ICP workshop), funnel_strategy.md (TOFU/MOFU/BOFU + attribution)
Channels: linkedin_guide.md, youtube_seo.md, douyin_algorithm.md, xiaohongshu_tips.md
Content: content_templates.md (whitepapers, case studies, emails), keyword_library.md (B2B keyword matrix)
What ships with it: 20 files
94.6 KB alongside SKILL.md, 9 of them executable
references/
- abm_framework.md3.4 KB
- content_templates.md3.5 KB
- douyin_algorithm.md2.2 KB
- funnel_strategy.md3.5 KB
- keyword_library.md2.8 KB
- linkedin_guide.md3.6 KB
- messaging_icp_guide.md3.1 KB
- xiaohongshu_tips.md2.2 KB
- youtube_seo.md2.9 KB
scripts/
- competitor_monitor.pyruns6.9 KB
- content_calendar.pyruns8.2 KB
- content_repurposer.pyruns3.7 KB
- data_reporter.pyruns11.8 KB
- email_sequence_generator.pyruns5.7 KB
- hashtag_generator.pyruns9.7 KB
- llm_utils.pyruns1.9 KB
- seo_analyzer.pyruns9.0 KB
- strategy_builder.pyruns5.2 KB
- PROMO_TEMPLATES.md2.7 KB
- README.md2.7 KB