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 fortunto2/solo-factory --skill researchgit clone --depth 1 https://github.com/fortunto2/solo-factoryWrote 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/fortunto2/solo-factory/research)<a href="https://agentmods.dev/skills/fortunto2/solo-factory/research"><img src="https://agentmods.dev/badge/skills/fortunto2/solo-factory/research/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/fortunto2/solo-factory/research"><img src="https://agentmods.dev/badge/skills/fortunto2/solo-factory/research.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 | $0.00056 | $0.04092 |
| Opus 5 | $0.00028 | $0.02046 |
| Sonnet 5 | $0.00011 | $0.00818 |
| Haiku 4.5 | $0.00006 | $0.00409 |
Grade A, and why
solo-research scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Can use via curl: How it starts
The opening of the file, as written. The whole thing — 281 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/research
Deep research before PRD generation. Produces a structured research.md with competitive analysis, user pain points, SEO/ASO keywords, naming/domain options, and market sizing.
Live Context
- Branch: !
git branch --show-current 2>/dev/null - Recent changes: !
git log --oneline -5 2>/dev/null
MCP Tools (use if available)
If MCP tools are available, prefer them over CLI:
kb_search(query, n_results)— search knowledge base for related docsweb_search(query, engines, include_raw_content)— web search with engine routingweb_extract(url, size, page)— one page as clean markdown, boilerplate removedsession_search(query, project)— find how similar research was done beforeproject_info(name)— check project details and stackscodegraph_explain(project)— architecture overview of an existing project (stack, patterns, deps)codegraph_query(query)— raw Cypher queries against code graph (find shared packages, dependencies)project_code_search(query, project)— semantic search over project source code
MCP web_search supports engine override: engines="reddit", engines="youtube", etc.
For reading one page in full, prefer web_extract over include_raw_content: it runs
trafilatura, so navigation and footers are gone and tables survive. size="s|m|l" caps
at 5k/10k/25k chars, size="f" paginates the whole document and page=2 walks it.
If MCP tools are not available, use WebSearch/WebFetch as primary. If MCP web_search tool is available, use it for better results.
Reddit Search Best Practices
- Max 3 keywords in reddit queries — more keywords = fewer results
- Good:
"product hunt outreach launch"— Bad:"product hunt scraper maker profiles linkedin outreach launch strategy" include_raw_content=truerarely works for Reddit — use fallback chain below
Reddit Content Access — Fallback Chain
When a search finds a relevant Reddit post, reading its full content requires a fallback chain:
1. MCP Playwright (old.reddit.com) ← BEST: bypasses CAPTCHA, full post + comments
2. PullPush API (api.pullpush.io) ← search by query/subreddit/author/score/date
3. MCP web_extract / web_search raw ← sometimes works, often truncated
4. WebFetch / WebSearch snippets ← last resort, partial data only
What ships with it
2 files 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 · 281 lines · 56 tokens per session scan A a5565973773a
solo-research is a skill published in the GitHub repository fortunto2/solo-factory (18 stars, last pushed today), licensed MIT. It adds 56 tokens to every session and 4,092 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
harness
Route Harness Starter Kit workflows. Use when the user invokes /harness with adopt, doctor, update, refresh, review, or review sub-agent, or asks to apply, diagnose, maintain, or review repository harness guidance.
review
L1 internal review with auto-detection, design comparison, and Gate escalation path.
dev-plan
Generate a development plan with task breakdown and section 10 tracking tables.
product-diagnosis
Six-question diagnostic framework for G0 pre-check — validate product direction before development starts.
harness-adopt
Apply Harness Starter Kit prompt-first adoption to a target repository. Use when the user asks to apply, install, adopt, or bootstrap repository harness guidance, checks, memory, and adoption reporting.
harness-review
Review the current change set from an opposing harness-engineering perspective. Use when the user asks for /harness review, /harness review sub-agent, or a no-edit harness review.