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 doany-skills/skills --skill reddit-automationgit clone --depth 1 https://github.com/doany-skills/skillsWrote 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/doany-skills/skills/reddit-automation)<a href="https://agentmods.dev/skills/doany-skills/skills/reddit-automation"><img src="https://agentmods.dev/badge/skills/doany-skills/skills/reddit-automation/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/doany-skills/skills/reddit-automation"><img src="https://agentmods.dev/badge/skills/doany-skills/skills/reddit-automation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
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 | $0.00189 | $0.01842 |
| Opus 5.5 | $0.00076 | $0.00737 |
| Sonnet 5.5 | $0.00038 | $0.00368 |
| Haiku 4.5 | $0.00019 | $0.00184 |
Grade A, and why
reddit-automation 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 2mo 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.
This is a copy
100% identical to reddit-automation — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
👽 Reddit Automation
Built by the team at doany.ai.
Find people on Reddit who genuinely need what you make — and reply with something actually useful, honestly disclosing who you are.
Reddit rewards real contribution and punishes spam. The way to market here is not to hide — it's to genuinely help, disclose your affiliation, and only bring up your product when it truly answers the question. This skill runs two moves: find the few threads where you can actually help, then draft a reply worth posting.
When to use
- "Find Reddit opportunities for my product this week"
- "Someone's asking for a tool like mine on r/… — help me reply"
- "Help me engage on Reddit for my product, honestly"
- "Turn these Reddit threads into replies I can review and post"
First, get the product context (once)
Before either phase, pin down — from the user, or their site:
- What they sell and the one-line value prop
- Who the buyer is (ICP) and the pains they feel
- Competitors (names people would mention)
- Target subreddits (5–15 where the buyer actually hangs out)
- A few high-intent search phrases (how someone would phrase the problem, not generic keywords)
If you can't get these, ask for them — do not guess the product.
Phase 1 — Find opportunities
Pull recent posts from the target subreddits (and, if you can search Reddit, the high-intent phrases — never broad keywords). Then keep only real needs you can help with:
- a recommendation ask ("what do you use for…", "alternatives to X?")
- expressed pain that the product removes
- a competitor mention (especially frustration with one)
- urgency or a specific, current workflow/context
Drop: off-topic chatter, already-answered threads, locked/archived posts, and anything where the person is just venting, not asking.
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.
- 2mo ago First seen · 121 lines · 189 tokens per session scan A 67c1e3ce7e82
reddit-automation is a skill published in the GitHub repository doany-skills/skills (12 stars, last pushed 3mo ago), licensed MIT. It adds 189 tokens to every session and 1,842 once invoked, about $0.0008 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to reddit-automation, differing in 0 lines, and is treated as a copy.
reddit-automation compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| reddit-automationdoany-skills/skills | Skill | 12 | 3mo ago | MIT | A | 189 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |