A tool for reviewing what you read through Hacker News, a technology discussion site, or RSS feeds, which are subscriptions to updates from websites. It creates a report with categories, text charts, and recommendations.

Use it to audit a Hacker News account or an OPML file, a standard list of RSS subscriptions, and create a reading report or digest.

It helps reveal reading patterns that are otherwise difficult to see across many feeds.

feed-diet — Skill for Claude Code and Codex by cacheforge-ai

Install

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.

Any agent

npx skills add cacheforge-ai/cacheforge-skills --skill feed-diet

Clone the repo

git clone --depth 1 https://github.com/cacheforge-ai/cacheforge-skills

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/cacheforge-ai/cacheforge-skills/feed-diet/github.svg)](https://agentmods.dev/skills/cacheforge-ai/cacheforge-skills/feed-diet)

Your own site

<a href="https://agentmods.dev/skills/cacheforge-ai/cacheforge-skills/feed-diet"><img src="https://agentmods.dev/badge/skills/cacheforge-ai/cacheforge-skills/feed-diet/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/cacheforge-ai/cacheforge-skills/feed-diet"><img src="https://agentmods.dev/badge/skills/cacheforge-ai/cacheforge-skills/feed-diet.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,101 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00029	$0.01101
Opus 5.5	$0.00012	$0.00440
Sonnet 5.5	$0.00006	$0.00220
Haiku 4.5	$0.00003	$0.00110

Measured 1mo ago against content hash 8142dcadbf60, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feed-diet 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 1mo ago.

The scan reads SKILL.md. This mod also ships 5 executable files (scripts/classify.sh, scripts/common.sh, scripts/feed-diet.sh, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/feed-diet/SKILL.md · 131 lines

How it starts

The opening of the file, as written. The whole thing — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.

🍽️ Feed Diet

Audit your information diet and get a gorgeous report showing what you actually consume.

Trigger

Activate when the user mentions any of:

"feed diet"
"information diet"
"audit my feeds"
"what am I reading"
"analyze my HN"
"reading habits"
"content diet"
"feed report"

Instructions

Audit Mode (default)

Determine the data source. Ask the user for one of:
- A Hacker News username (e.g., "tosh")
- An OPML file path containing RSS feed subscriptions

Fetch the content. Run the appropriate fetch script:

# For HN:
bash "$SKILL_DIR/scripts/hn-fetch.sh" USERNAME 100

# For OPML:
bash "$SKILL_DIR/scripts/opml-parse.sh" /path/to/feeds.opml

Classify items. Pipe the fetched items through the classifier:
```
cat items.jsonl | bash "$SKILL_DIR/scripts/classify.sh" > classified.jsonl
```
The classifier uses LLM (if ANTHROPIC_API_KEY or OPENAI_API_KEY is set) or falls back to keyword matching.

Generate the report. Run the main entry point:

bash "$SKILL_DIR/scripts/feed-diet.sh" audit --hn USERNAME --limit 100

Present the report to the user. The output is Markdown — render it directly.

Digest Mode (weekly curated reading)

When the user wants a filtered reading list based on their goals:

bash "$SKILL_DIR/scripts/feed-diet.sh" digest --hn USERNAME --goal "systems programming, distributed systems" --days 7

Quick Reference

Command	Description
`feed-diet audit --hn USER`	Full diet audit for an HN user
`feed-diet audit --opml FILE`	Full diet audit from RSS feeds
`feed-diet digest --hn USER --goal "X"`	Weekly digest filtered by goals

Notes for the Agent

Be conversational. After presenting the report, offer observations like "Looks like you're heavy on news — want me to suggest some deeper technical feeds?"
Suggest the digest mode if the user seems interested in filtering their reading.
The report is the star. Don't summarize it — present it in full. It's designed to be screenshot-worthy.
If classification seems off, mention that setting an LLM API key improves accuracy.

Read the full file on GitHub · 131 lines

Files

What ships with it

8 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.

Changes

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.

1mo ago First seen · 131 lines · 29 tokens per session scan A 8142dcadbf60

Subscribe to this mod's changes

feed-diet is a skill published in the GitHub repository cacheforge-ai/cacheforge-skills (10 stars, last pushed 8mo ago), licensed MIT. It adds 29 tokens to every session and 1,101 once invoked, about $0.0001 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.

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