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 vibeeval/vibecosystem --skill competitive-analysisgit clone --depth 1 https://github.com/vibeeval/vibecosystemWrote 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/vibeeval/vibecosystem/competitive-analysis)<a href="https://agentmods.dev/skills/vibeeval/vibecosystem/competitive-analysis"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/competitive-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/vibeeval/vibecosystem/competitive-analysis"><img src="https://agentmods.dev/badge/skills/vibeeval/vibecosystem/competitive-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00016 | $0.05342 |
| Opus 5.5 | $0.00006 | $0.02137 |
| Sonnet 5.5 | $0.00003 | $0.01068 |
| Haiku 4.5 | $0.00002 | $0.00534 |
Grade A, and why
competitive-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 1mo 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 — 725 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Analysis
Competitor Identification ve Mapping
Competitor Categories
Direct Competitors Indirect Competitors Potential Competitors
(Ayni problem, ayni cozum) (Ayni problem, farkli cozum) (Farkli problem, genisleyebilir)
| | |
v v v
Figma vs Sketch Figma vs PowerPoint Figma vs Canva
Slack vs Teams Slack vs Email Slack vs Discord
Linear vs Jira Linear vs Spreadsheet Linear vs Notion
Competitor Map Template
interface Competitor {
name: string;
category: "direct" | "indirect" | "potential";
website: string;
founding_year: number;
funding_total?: string;
employee_count_range: string;
pricing_model: string;
target_market: string[];
key_features: string[];
weaknesses: string[];
market_share_estimate?: string;
growth_signals: string[];
}
const competitorMap: Competitor[] = [
{
name: "Competitor A",
category: "direct",
website: "https://competitor-a.com",
founding_year: 2018,
funding_total: "$50M Series B",
employee_count_range: "100-250",
pricing_model: "Freemium + per-seat",
target_market: ["SMB", "Mid-market"],
key_features: [
"Real-time collaboration",
"API-first architecture",
"Native integrations",
],
weaknesses: [
"Enterprise features eksik",
"Mobile app zayif",
"Customer support yavash",
],
market_share_estimate: "~15%",
growth_signals: [
"Son 6 ayda 3 buyuk feature launch",
"LinkedIn job posting %40 artti",
"G2 review sayisi 2x",
],
},
];
Competitive Landscape Matrix
High Price
|
Enterprise | Premium
(Oracle, | (Salesforce,
SAP) | HubSpot)
|
Low Feature ---+--- High Feature
|
Budget | PLG/Modern
(Open | (Linear,
Source) | Notion)
|
Low Price
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.
- 1mo ago First seen · 725 lines · 16 tokens per session scan A 87731a3556b8
competitive-analysis is a skill published in the GitHub repository vibeeval/vibecosystem (540 stars, last pushed 2mo ago), licensed MIT. It adds 16 tokens to every session and 5,342 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
Other skills, from other repositories
subagent-driven-development
Execute plans via delegatetask subagents (2-stage review).
mcporter
List, auth, and call MCP servers/tools from the terminal.
telegram-setup
Connect a Telegram bot to the Vellum Assistant gateway with automated webhook registration and credential storage.
vellum-skills-catalog
Discover bundled skills and search/install community skills from the skills.sh registry.
loongsuite-pilot-insight
A reporting workflow for turning LoongSuite Pilot and AI coding-agent logs into structured reports about events, teams, data quality, development efficiency, and AI use. It defines the meaning of the log fields and the measurements used in dashboards.
app-verification
Builds and maintains a repo's own verification harness (verify CLI, doctor, worktree isolation, feature map, seed data) and a reproduce-first bug handoff. Use when asked to "build a verification harness", "add a doctor command", "prove every feature still works", or "reproduce this bug report".