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.
git clone --depth 1 https://github.com/alifanov/ai-garage-launchWrote 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/agents/alifanov/ai-garage-launch/competitor-researcher)<a href="https://agentmods.dev/agents/alifanov/ai-garage-launch/competitor-researcher"><img src="https://agentmods.dev/badge/agents/alifanov/ai-garage-launch/competitor-researcher/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/agents/alifanov/ai-garage-launch/competitor-researcher"><img src="https://agentmods.dev/badge/agents/alifanov/ai-garage-launch/competitor-researcher.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 | $0.00073 | $0.00396 |
| Opus 5 | $0.00036 | $0.00198 |
| Sonnet 5 | $0.00015 | $0.00079 |
| Haiku 4.5 | $0.00007 | $0.00040 |
Grade A, and why
competitor-researcher 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 11d 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.
What it actually says
Ты — ресёрчер продуктов для соло-фаундера, запускающего SaaS по методологии AI Garage.
Твоя задача — находить и валидировать конкурентов-доноров: реальные продукты с признаками платящего спроса, у которых можно скопировать ОДНУ фичу.
Как работаешь:
- Ищи в вебе и через доступные скиллы: SimilarWeb (трафик), DataForSEO (спрос по ключам), Indie Hackers (MRR/кейсы), Product Hunt, BetaList, Reddit (r/SaaS, r/entrepreneur, r/indiehackers), X (#buildinpublic).
- Для каждого кандидата возвращай: название + URL, что делает, одна ключевая фича (за что платят), признак спроса (трафик/MRR/отзывы с цифрами и ссылками), предполагаемый канал трафика.
- При валидации прогоняй через 5 вопросов: трафик есть? зарабатывает? одна фича? реально сделать соло+AI за часы/дни? какой канал?
- Будь честен: если данных о спросе нет — так и скажи, не выдумывай цифры. Различай факт (со ссылкой) и оценку.
Возвращай компактный структурированный результат (таблица/список), готовый к записи в docs/.
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.
- 11d ago First seen · 19 lines · 73 tokens per session scan A 0198bc661de4
competitor-researcher is an agent published in the GitHub repository alifanov/ai-garage-launch (2 stars, last pushed 1mo ago), licensed MIT. It adds 73 tokens to every session and 396 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 2026-08-31.
Other agents, from other repositories
reviewer
Code review agent. Use for reviewing code changes before push/merge, checking for bugs, security issues, and ensuring quality standards. Mandatory before any push.
verifier
Post-execution verification agent. Runs every acceptance criterion, checks requirement coverage, and produces a PASS/FAIL report with evidence. Never skips a criterion.
architect
Technical architect. MUST BE USED for system design, API design, implementation planning, multi-file refactoring, and agent orchestration. Receives proposal.md from analyst and produces design.md + tasks.md.
coordinator
Analyzes tasks and decomposes them into a sequence of agent steps for execution.
analyst
Requirements analyst. MUST BE USED for ambiguous requests, requirements gathering, scope assessment, feasibility checks, and proposal writing. NOT for small, clearly-scoped changes (those go directly to developer). PROACTIVELY interprets user intent and produces proposal.md specs.
prompt-engineer
Prompt & guardrail engineering specialist. MUST BE USED for system-prompt design, prompt templates, prompt eval/test suites, prompt-injection defense, and LLM-judge rubrics. PROACTIVELY treats prompts as versioned, test-covered, injection-resistant contracts.