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 | $0.00023 | $0.00449 |
| Sonnet 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 6d 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.
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.
- 6d 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 5d ago), licensed MIT. It adds 46 tokens to every session and 899 once invoked, about $0.0002 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 2026-09-05.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…