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/hackernews-intelnpx skills add Varnan-Tech/opendirectory --skill hackernews-intelgit 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/hackernews-intel)<a href="https://agentmods.dev/skills/varnan-tech/opendirectory/hackernews-intel"><img src="https://agentmods.dev/badge/skills/varnan-tech/opendirectory/hackernews-intel.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 | $0.00102 | $0.01476 |
| Opus 5 | $0.00051 | $0.00738 |
| Sonnet 5 | $0.00020 | $0.00295 |
| Haiku 4.5 | $0.00010 | $0.00148 |
Grade A, and why
hackernews-intel 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 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.
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 — 157 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hacker News Intel
Monitor Hacker News for keywords. On each run, fetch new posts via the HN Algolia API, deduplicate against a local SQLite cache, and send Slack alerts for unseen matches. Run manually or schedule via cron or GitHub Actions.
Step 1: Check Setup
1a. Verify required environment variables
Check that these are set:
HN_KEYWORDS(required): comma-separated list of keywords to monitorSLACK_WEBHOOK(required): Slack Incoming Webhook URL for alerts
If either is missing, stop and tell the user:
HN_KEYWORDS: list the topics you want to monitor, comma-separated. Example:claude code,LLM agents,deno runtimeSLACK_WEBHOOK: create an Incoming Webhook at https://api.slack.com/apps. Select your workspace, enable Incoming Webhooks, and copy the URL.
1b. Verify script dependencies
ls /Users/ksd/Desktop/Varnan_skills/hackernews-intel/node_modules/better-sqlite3 2>/dev/null
If missing:
cd /Users/ksd/Desktop/Varnan_skills/hackernews-intel && npm install
Step 2: Run the Monitor
cd /Users/ksd/Desktop/Varnan_skills/hackernews-intel && node scripts/monitor-hn.js
Flags:
--dry-run: print matches to stdout without sending any Slack alerts. Use this to preview what would be alerted before committing.--days=N: on the first run, look back N days (default: 1). Only applies when the SQLite cache is empty.--reset: clear the cache and start fresh. Use when you change your keyword list significantly.
What the script does:
- Reads
HN_KEYWORDSfrom environment, splits by comma, trims whitespace - Opens (or creates) a SQLite database at the path in
HN_DB_PATH(default:./hn-intel.db) - For each keyword, calls
https://hn.algolia.com/api/v1/search_by_datewithnumericFilters=created_at_i>lastSeen - For each result, checks if the
objectIDis already inseen_posts— skips if yes - If
HN_MIN_POINTSis set, skips posts below that threshold - For new matching posts, sends a Slack alert and inserts the
objectIDinto the cache - Updates
poll_logwith the run summary - Prints a summary to stdout
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.
- 4d ago First seen · 157 lines · 102 tokens per session scan A ea5257757255
hackernews-intel is a skill published in the GitHub repository Varnan-Tech/opendirectory (635 stars, last pushed 18d ago), licensed MIT. It adds 102 tokens to every session and 1,476 once invoked, about $0.0005 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.
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