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 commands/doctly/switchboard/schedule-hn-top-articlesgit clone --depth 1 https://github.com/doctly/switchboardWrote 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/doctly/switchboard/schedule-hn-top-articles)<a href="https://agentmods.dev/commands/doctly/switchboard/schedule-hn-top-articles"><img src="https://agentmods.dev/badge/commands/doctly/switchboard/schedule-hn-top-articles.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 5.1 | $0.00000 | $0.00242 |
| Opus 5 | $0.00000 | $0.00121 |
| Sonnet 5 | $0.00000 | $0.00048 |
| Haiku 4.5 | $0.00000 | $0.00024 |
Grade A, and why
Hacker News Top Article Check 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 6d 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.
What it actually says
Check Hacker News for the current top article and any posts related to AI document conversion or extraction.
Steps
-
Fetch the Hacker News front page (https://news.ycombinator.com) and identify the #1 ranked article. Log its title, URL, and point count.
-
Scan the full front page for any posts related to AI document conversion, document extraction, OCR, PDF parsing, or similar topics. If you find any, log each one with its title, URL, point count, and rank.
-
Output the results directly in the session (do not write to any file). Use this format:
--- [TIMESTAMP] ---
#1: [Title] ([points] points)
[URL]
AI Doc/Extraction mentions:
- [Rank]. [Title] ([points] points)
[URL]
(or "None found" if no relevant posts)
Keep the output concise. Do not summarize or editorialize the articles.
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.
- 6d ago First seen · 33 lines · 0 tokens per session scan A d0d15dc14998
Hacker News Top Article Check is a command published in the GitHub repository doctly/switchboard (332 stars, last pushed 2d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 242 tokens. 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.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.