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 community-outreachgit 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/community-outreach)<a href="https://agentmods.dev/skills/fortunto2/solo-factory/community-outreach"><img src="https://agentmods.dev/badge/skills/fortunto2/solo-factory/community-outreach/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/community-outreach"><img src="https://agentmods.dev/badge/skills/fortunto2/solo-factory/community-outreach.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 | $0.00058 | $0.01921 |
| Opus 5 | $0.00029 | $0.00960 |
| Sonnet 5 | $0.00012 | $0.00384 |
| Haiku 4.5 | $0.00006 | $0.00192 |
Grade A, and why
solo-community-outreach 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 12d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/community-outreach
Find relevant community threads (Reddit, Hacker News, ProductHunt) and draft contextual, value-first responses. NOT spam — genuine helpful answers that naturally mention the product.
MCP Tools (use if available)
web_search(query, engines, include_raw_content)— search Reddit, HN, webweb_extract(url, size, page)— read one thread or article as clean markdownkb_search(query)— find related methodologyproject_info(name)— get project details
If MCP tools are not available, use WebSearch/WebFetch as fallback.
Steps
-
Parse project from
$ARGUMENTS.- Read PRD/README to understand: problem, solution, ICP, key features.
- If empty: ask via AskUserQuestion.
-
Extract search keywords:
- Problem keywords (what users complain about)
- Solution keywords (what users search for)
- Category keywords (the market/niche)
- Competitor names (for "vs" and "alternative" threads)
-
Search communities (run searches in parallel):
3a. Reddit
For each keyword group, search via MCP
web_search(query)or WebSearch:"{problem} reddit"— pain point threads"{solution category} recommendations reddit"— recommendation requests"{competitor} alternative reddit"— competitor frustration"{competitor} vs reddit"— comparison threads
For each result, extract: subreddit, title, URL, post date, comment count. Filter: prefer threads < 6 months old, > 5 comments (active).
3b. Hacker News
Search via
site:news.ycombinator.com:"Show HN: {similar product category}"— similar launches"Ask HN: {problem domain}"— questions in the space"{competitor name} site:news.ycombinator.com"— competitor mentions
Extract: title, URL, points, comment count.
3c. ProductHunt
Search via
site:producthunt.com:"{product category} site:producthunt.com"— similar launches"{competitor} site:producthunt.com"— competitor pages
Extract: product names, launch dates, upvote counts, taglines.
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.
- 12d ago First seen · 186 lines · 58 tokens per session scan A 4f57233bc7aa
solo-community-outreach is a skill published in the GitHub repository fortunto2/solo-factory (18 stars, last pushed today), licensed MIT. It adds 58 tokens to every session and 1,921 once invoked, about $0.0003 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
review
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harness
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dev-plan
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product-diagnosis
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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-update
Refresh an adopted target repository from the latest Harness Starter Kit reference. Use when the user asks for /harness update or wants source tracking and selective harness updates.