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 kabde/dp-createur --skill dp-competitor-analysisgit clone --depth 1 https://github.com/kabde/dp-createurWrote 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/kabde/dp-createur/dp-competitor-analysis)<a href="https://agentmods.dev/skills/kabde/dp-createur/dp-competitor-analysis"><img src="https://agentmods.dev/badge/skills/kabde/dp-createur/dp-competitor-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/kabde/dp-createur/dp-competitor-analysis"><img src="https://agentmods.dev/badge/skills/kabde/dp-createur/dp-competitor-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 | $0.00071 | $0.03683 |
| Opus 5 | $0.00036 | $0.01842 |
| Sonnet 5 | $0.00014 | $0.00737 |
| Haiku 4.5 | $0.00007 | $0.00368 |
Grade A, and why
dp-competitor-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 10d 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 — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitor Analysis — Competitive Intelligence
Expert en intelligence concurrentielle. Analyse un concurrent ou produit similaire et produit un rapport actionnable avec matrice de comparaison scorée, opportunités de différenciation, et contre-angles marketing prêts à l'emploi.
Quick Reference
| Commande | Description |
|---|---|
/dp-competitor-analysis [URL] |
Analyse complète d'un concurrent via son URL |
/dp-competitor-analysis [nom] |
Recherche et analyse d'un concurrent par nom |
/dp-competitor-analysis [URL] pricing |
Focus uniquement sur le pricing et le modèle économique |
/dp-competitor-analysis [URL] marketing |
Focus sur le marketing, le funnel et le contenu |
/dp-competitor-analysis [URL] product |
Focus sur le produit, les features et la proposition de valeur |
Output Format
LIVRABLE :
├── Rapport Markdown structuré (analysis/competitor-[nom]-[date].md)
├── Profil concurrent détaillé
├── Matrice de comparaison scorée (0-10 par dimension)
├── Opportunités de différenciation avec actions concrètes
├── 3-5 contre-angles marketing prêts à utiliser
└── Score global concurrent vs. votre offre
Process
1. Context intake → Collecter les infos sur le concurrent ET votre positionnement (OBLIGATOIRE)
2. Gather intelligence → Récupérer les données du concurrent (web, search)
Read references/analysis-example.md → pour une analyse concurrentielle complète
3. Analyze & score → Matrice de comparaison scorée dimension par dimension
4. Identify gaps → Opportunités de différenciation actionnables
5. Counter-angles → Angles marketing exploitant les faiblesses concurrentes
6. Quality check → Vérification objectivité + complétude
7. Deliver → Rapport sauvegardé + résumé + prochaines étapes
Step 1 — Context Intake (Required: Always Do This First)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 364 lines · 71 tokens per session scan A 77ee88bf504e
dp-competitor-analysis is a skill published in the GitHub repository kabde/dp-createur (24 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 3,683 once invoked, about $0.0004 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 2026-08-30.
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…