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 agentmods add skills/varnan-tech/opendirectory/reddit-post-enginenpx skills add Varnan-Tech/opendirectory --skill reddit-post-enginegit clone --depth 1 https://github.com/Varnan-Tech/opendirectoryWrote 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/varnan-tech/opendirectory/reddit-post-engine)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/reddit-post-engine"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/reddit-post-engine.svg" alt="Measured on agentmods" 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 | $0.00130 | $0.03105 |
| Opus 5 | $0.00065 | $0.01553 |
| Sonnet 5 | $0.00026 | $0.00621 |
| Haiku 4.5 | $0.00013 | $0.00311 |
Grade A, and why
reddit-post-engine 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 4d 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.
curl -s \ How it starts
The opening of the file, as written. The whole thing — 304 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit Post Engine
Draft a Reddit post that fits the subreddit's culture. Optionally post it via Composio.
Critical rule: Never post without confirming subreddit rules. Never include product links in the body: put them in the first comment only if appropriate. Follow the 90/10 rule: your post should add value independent of any product mention.
Anti-spam rule: Posts that are primarily promotional will be removed and may get the account banned. The goal is to contribute to the community first. Product mentions go in the first comment, and only if the subreddit allows self-promotion.
Step 1: Setup Check
echo "GEMINI_API_KEY: ${GEMINI_API_KEY:+set}"
# Check if Composio Reddit MCP is connected
claude mcp list 2>/dev/null | grep -i reddit || echo "Composio Reddit MCP: not connected"
If GEMINI_API_KEY is missing: Stop. Tell the user: "GEMINI_API_KEY is required. Get it at aistudio.google.com. Add it to your .env file."
If Composio Reddit MCP is not connected: Continue. The skill will draft posts but skip the posting step. Inform the user: "Composio Reddit MCP not connected: I'll draft your post for manual submission. To enable direct posting, see the setup instructions in README.md."
Step 2: Gather Context
You need:
- Target subreddit (e.g., r/devops, r/startups, r/SideProject)
- What you are sharing (project, article, question, discussion, tool)
- One-sentence description of what it does
- Why it's relevant to this specific subreddit's community
- Whether you want a self-post (text) or link post
If any of these are missing, ask in one message:
"To draft your Reddit post, I need:
- Which subreddit? (e.g., r/devops, r/startups)
- What are you sharing? (project, article, tool, question)
- What does it do? (one sentence, technical)
- Why does this subreddit care about it specifically?"
Step 3: Fetch Subreddit Rules and Culture
Fetch the subreddit's rules:
curl -s \
-H "User-Agent: varnan-skills/1.0" \
"https://www.reddit.com/r/{SUBREDDIT}/about/rules.json" \
| python3 -c "
import sys, json
d = json.load(sys.stdin)
rules = d.get('rules', [])
for r in rules:
print(f'Rule: {r.get(\"short_name\", \"\")}')
print(f'Detail: {r.get(\"description\", \"\")[:200]}')
print()
"
What ships with it
4 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.
- 4d ago First seen · 304 lines · 130 tokens per session scan A a471dbbc8b1a
reddit-post-engine is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 18d ago), licensed MIT. It adds 130 tokens to every session and 3,105 once invoked, about $0.0006 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
content-style
Writing Reddit-native content that sounds human, avoids AI tells, and delivers value through structure and specificity. Applies to workshop posts, definitive model guides, research megathreads, and community FYI/update posts.
hermes-plugin-development
Use when: creating, debugging, or integrating Hermes Agent plugins, including Python backend plugins (tools, hooks, routers, middleware) and JavaScript Hermes Desktop runtime plugins.
macos-storage-management
Safely reclaim local Mac storage without mistaking cloud placeholders for resident data, losing File Provider content, or flattening metadata onto an incompatible external filesystem.
hermes-mnemosyne
Mnemosyne is Hermes' primary local-first memory engine — SQLite with vector + FTS5 hybrid search, 19+ tools, auto-consolidation, and a standalone CLI. It's a pip-installed plugin (not a built-in toolset) discovered via $HERMESHOME/plugins/mnemosyne/.
skill-auditor
Audit any Hermes skill file and assign a quality grade based on clarity, completeness, tool guidance, and shareability. Returns specific fix suggestions ranked by impact.
local-discovery
Find events, activities, venues, and things happening in the user's area (default: the user's local area) or anywhere nationally. Covers two subdomains.