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 Varnan-Tech/opendirectory --skill reddit-icp-monitorgit 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-icp-monitor)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/reddit-icp-monitor"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/reddit-icp-monitor/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/varnan-tech/opendirectory/reddit-icp-monitor"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/reddit-icp-monitor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 8 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 29 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Supply Chain · line 37 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 78 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 145 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- high Supply Chain · line 190 Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
- medium Data Exfiltration · line 37 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 145 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 190 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00123 | $0.02822 |
| Opus 5 | $0.00062 | $0.01411 |
| Sonnet 5 | $0.00025 | $0.00564 |
| Haiku 4.5 | $0.00012 | $0.00282 |
Grade A, and why
reddit-icp-monitor scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
TOKEN=$(curl -s -X POST \ How it starts
The opening of the file, as written. The whole thing — 272 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Reddit ICP Monitor
Watch subreddits for people describing the problem you solve. Score their relevance. Draft a helpful reply for each match.
Critical rule: Never invent post URLs, titles, or content. Every post in the output must come from a Reddit search result. Mark any section with no results as "No matches found." Never draft a reply to a post that was not returned by the search.
Anti-spam rule: Drafted replies must never mention your product or company name unless the post explicitly asks for tool recommendations. Sound like a practitioner, not a marketer.
Step 1: Setup Check
echo "GEMINI_API_KEY: ${GEMINI_API_KEY:+set}"
echo "REDDIT_CLIENT_ID: ${REDDIT_CLIENT_ID:-not set, using public endpoints (10 RPM)}"
If GEMINI_API_KEY is missing: Stop. Tell the user: "GEMINI_API_KEY is required. Get it at aistudio.google.com. Add it to your .env file."
If Reddit credentials are missing: Continue. Use Reddit's public JSON endpoints (no auth required, 10 RPM limit). For most monitoring sessions of 3-6 subreddit searches, this is sufficient.
If REDDIT_CLIENT_ID is set: Use OAuth for 60 RPM. Fetch a token first:
TOKEN=$(curl -s -X POST \
-d "grant_type=password&username=$REDDIT_USERNAME&password=$REDDIT_PASSWORD" \
--user "$REDDIT_CLIENT_ID:$REDDIT_CLIENT_SECRET" \
-H "User-Agent: varnan-skills/1.0" \
https://www.reddit.com/api/v1/access_token \
| python3 -c "import sys,json; print(json.load(sys.stdin)['access_token'])")
Use Authorization: Bearer $TOKEN and https://oauth.reddit.com base URL for all subsequent requests.
Step 2: Load ICP
Check for an existing ICP file:
ls docs/icp.md 2>/dev/null && echo "icp found" || echo "icp missing"
If docs/icp.md exists: Read it. Extract:
product: one-sentence product descriptionpain_points: list of pain point phrases (exact buyer language)anti_keywords: phrases that disqualify a postsubreddits: list of subreddits to search
What ships with it
5 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.
- 13d ago First seen · 272 lines · 123 tokens per session scan A 3b113c969b73
reddit-icp-monitor is a skill published in the GitHub repository Varnan-Tech/opendirectory (640 stars, last pushed 26d ago), licensed MIT. It adds 123 tokens to every session and 2,822 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.
coding-worktree-recovery
Use this skill when coding-agent work is interrupted, an agent exits without a clean commit, multiple controllers target the same checkout, or the checkout produces inconsistent file/Git behavior.
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.
marketplace-purchase-vetting
Use this when the user asks whether a local listing is a scam, "too good to be true," worth looking at, or a good deal. Also use this when he asks you to find options — search/discover candidates, then vet the best ones. The goal is not a generic buying guide; it is a practical risk read with clear next steps.