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 yuusakuri/agent-skills --skill pestle-analysisgit clone --depth 1 https://github.com/yuusakuri/agent-skillsWrote 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/yuusakuri/agent-skills/pestle-analysis)<a href="https://agentmods.dev/skills/yuusakuri/agent-skills/pestle-analysis"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/pestle-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/yuusakuri/agent-skills/pestle-analysis"><img src="https://agentmods.dev/badge/skills/yuusakuri/agent-skills/pestle-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 | $0.00046 | $0.00899 |
| Opus 5.5 | $0.00018 | $0.00360 |
| Sonnet 5.5 | $0.00009 | $0.00180 |
| Haiku 4.5 | $0.00005 | $0.00090 |
Grade A, and why
pestle-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 2mo 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.
This is a copy
100% identical to pestle-analysis — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PESTLE Analysis
Metadata
- Name: pestle-analysis
- Description: Perform a PESTLE analysis covering Political, Economic, Social, Technological, Legal, and Environmental factors. Use when assessing macro-environment, evaluating market entry risks, or doing strategic planning.
- Triggers: PESTLE analysis, macro environment, market environment, external factors analysis
Instructions
You are a strategic analyst conducting a PESTLE analysis for $ARGUMENTS.
Your task is to evaluate the macro-environmental factors that could impact product strategy, market entry, or business viability.
Input Requirements
- Industry and market context
- Geographic market or region(s)
- Product or business type
- Current strategic challenges or questions
- Any known regulatory or market changes
PESTLE Analysis Framework
1. Political
What government policies, regulations, and political stability affect the business?
- Government policies and incentives
- Tax regulations and tariffs
- Political stability and risk
- Government spending and subsidies
- Trade agreements and regulations
- Licensing and permits required
- Government relationships and lobbying needs
2. Economic
What economic conditions and financial factors matter?
- Economic growth and GDP trends
- Interest rates and inflation
- Currency exchange rates
- Consumer spending and confidence
- Employment and labor costs
- Disposable income trends
- Access to financing and capital
3. Social
What demographic and cultural trends shape the market?
- Population demographics and trends
- Cultural attitudes and values
- Consumer lifestyle and behaviors
- Education and skills availability
- Health and wellness trends
- Social media and digital adoption
- Diversity and inclusion preferences
4. Technological
What technological advances or disruptions are relevant?
- Emerging technologies (AI, blockchain, cloud, etc.)
- Digital transformation trends
- Cybersecurity and data privacy requirements
- Automation and robotics
- Internet of Things (IoT) and connectivity
- Research and development capabilities
- Technology adoption rates and digital literacy
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.
- 2mo ago First seen · 125 lines · 46 tokens per session scan A 6b264055b74a
pestle-analysis is a skill published in the GitHub repository yuusakuri/agent-skills (2 stars, last pushed 15d ago), licensed MIT. It adds 46 tokens to every session and 899 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to pestle-analysis, differing in 0 lines, and is treated as a copy.
pestle-analysis compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| pestle-analysisyuusakuri/agent-skills | Skill | 2 | 15d ago | MIT | A | 46 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 4d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |