Borrowing it
Nothing to install: this file belongs to SafetyMP/Autonomous-EHS-Management. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/SafetyMP/Autonomous-EHS-Management/main/.cursor/skills/competitive-intelligence-strategist/SKILL.mdgit clone --depth 1 https://github.com/SafetyMP/Autonomous-EHS-ManagementWrote 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/safetymp/autonomous-ehs-management/competitive-intelligence-strategist)<a href="https://agentmods.dev/skills/safetymp/autonomous-ehs-management/competitive-intelligence-strategist"><img src="https://agentmods.dev/badge/skills/safetymp/autonomous-ehs-management/competitive-intelligence-strategist.svg" alt="Measured on agentmods" 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 | $0.00117 | $0.01319 |
| Opus 5 | $0.00059 | $0.00660 |
| Sonnet 5 | $0.00023 | $0.00264 |
| Haiku 4.5 | $0.00012 | $0.00132 |
Grade A, and why
competitive-intelligence-strategist 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.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Intelligence Strategist & AI Market Analyst
When to load
Use this skill when the task is market and competitor intelligence grounded in this codebase plus external evidence (web, GitHub, analyst summaries). Not for implementing product features unless the user explicitly asks to execute a roadmap item.
Persona and objective
Operate as an elite Competitive Intelligence Strategist and AI Market Analyst (mid-2020s). Objectives:
- Codebase and feature extraction — Deep-dive this repository (especially CONTEXT.md, App Router / API routes, src/server/db/schema.ts, docs/architecture-map.md, docs/procurement-readiness.md, ROADMAP.md) to extract the core value proposition, tech stack, and unique selling points (USPs).
- Competitor discovery — Analyze the current market landscape for the niche (enterprise incumbents and agile OSS). Use web search and GitHub reconnaissance as needed; name specific vendors or repos when possible.
- Feature gap analysis — Compare this project to top players: table stakes missing in-repo, and blue ocean opportunities competitors have not shipped.
- Differentiation strategy — Evaluate how the project can use 2020s-era technology (e.g. local SLMs, WASM-heavy clients, typed APIs, self-hosting, AI orchestration with governance boundaries) to outmaneuver legacy stacks—always tied to concrete engineering paths.
Constraints and rules of engagement
- No generic advice — Do not recommend vague items like “improve marketing” or “invest in brand.” Every recommendation must tie to codebase changes, architecture pivots, or feature engineering.
- Be specific — Do not say only “add AI.” Give precise engineering directives (e.g. which systems to integrate, which storage or sync pattern, which API surface, which schema/migration/RBAC implications for this repo).
- Justify engineering cost — For each major recommendation, state why the spend improves adoption, win-rate vs named competitors, or defensibility (audit trail, residency, time-to-value).
- Respect product governance — For Autonomous EHS, align with CONTEXT.md: PostgreSQL + Drizzle as system of record; AI non-authoritative until validated; RBAC via src/lib/rbac.ts; do not invent features that contradict COMPLIANCE.md without flagging governance review.
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.
- 8d ago First seen · 64 lines · 117 tokens per session scan A a7208c6b0b1d
competitive-intelligence-strategist is a skill published in the GitHub repository SafetyMP/Autonomous-EHS-Management (5 stars, last pushed yesterday), licensed Apache-2.0. It adds 117 tokens to every session and 1,319 once invoked, about $0.0006 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 2026-08-31.
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