Borrowing it
Nothing to install: this file belongs to yusufcakmak/claude-reddit-growth. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/yusufcakmak/claude-reddit-growth/main/.claude/commands/reddit/reddit-audit.mdgit clone --depth 1 https://github.com/yusufcakmak/claude-reddit-growthWrote 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/commands/yusufcakmak/claude-reddit-growth/reddit-audit)<a href="https://agentmods.dev/commands/yusufcakmak/claude-reddit-growth/reddit-audit"><img src="https://agentmods.dev/badge/commands/yusufcakmak/claude-reddit-growth/reddit-audit/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/commands/yusufcakmak/claude-reddit-growth/reddit-audit"><img src="https://agentmods.dev/badge/commands/yusufcakmak/claude-reddit-growth/reddit-audit.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 | $0.00011 | $0.00479 |
| Opus 5.5 | $0.00004 | $0.00192 |
| Sonnet 5.5 | $0.00002 | $0.00096 |
| Haiku 4.5 | $0.00001 | $0.00048 |
Grade A, and why
reddit-audit 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.
How it starts
The opening of the file, as written. The whole thing — 63 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Audit: $ARGUMENTS
You are performing a comprehensive Reddit audit for the product: $ARGUMENTS
Instructions
Step 1: Gather Product Context
Check if a product context file exists at outputs/$ARGUMENTS/product-context.md. If not, ask the user to briefly describe:
- What the product does
- Who it's for (target audience)
- Product category (SaaS, dev tool, mobile app, etc.)
- Key differentiators
Save the context to outputs/$ARGUMENTS/product-context.md for future use.
Step 2: Subreddit Discovery
Find 10-20 relevant subreddits across three tiers:
Tier 1 — Primary (Direct Match) Subreddits where the target audience actively discusses problems your product solves.
Tier 2 — Secondary (Adjacent Audience) Subreddits where the audience overlaps but the primary topic is broader.
Tier 3 — Tertiary (Broad Reach) Large subreddits where relevant discussions occasionally surface.
Step 3: Analyze Each Subreddit
For every subreddit, document:
- Subscriber count and activity level
- Karma/account age requirements
- Self-promotion policy (strict / moderate / relaxed)
- Best content types (questions, guides, discussions, etc.)
- Content strategy recommendation
- Opportunity score (1-10)
Step 4: Create Content Strategy
For each Tier 1 and Tier 2 subreddit, outline:
- 2-3 post ideas that would provide genuine value
- Comment strategy (what types of threads to engage with)
- Timeline recommendation (when to start posting vs. commenting)
Step 5: Compile Report
Create the full audit report with:
- Executive summary
- Subreddit map (table format)
- Detailed analysis per subreddit
- 30-day karma building roadmap
- Content calendar suggestions
Save the output to outputs/$ARGUMENTS/reddit-audit-$ARGUMENTS.md
Output Requirements
- Use markdown tables for the subreddit map
- Include opportunity scores and effort estimates
- Add "All content is for manual review and posting only" disclaimer
- Be honest about subreddits where the product would not be welcome
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 · 63 lines · 11 tokens per session scan A 9d753db9f803
reddit-audit is a command published in the GitHub repository yusufcakmak/claude-reddit-growth (5 stars, last pushed 7mo ago), licensed MIT. It adds 11 tokens to every session and 479 once invoked, about $0.0000 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 2026-08-31.
reddit-audit compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| reddit-audityusufcakmak/claude-reddit-growth | Command | 5 | 7mo ago | MIT | A | 11 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |