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 kimsb2429/claude-skills --skill news-from-discussionsgit clone --depth 1 https://github.com/kimsb2429/claude-skillsWrote 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/kimsb2429/claude-skills/news-from-discussions)<a href="https://agentmods.dev/skills/kimsb2429/claude-skills/news-from-discussions"><img src="https://agentmods.dev/badge/skills/kimsb2429/claude-skills/news-from-discussions/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/kimsb2429/claude-skills/news-from-discussions"><img src="https://agentmods.dev/badge/skills/kimsb2429/claude-skills/news-from-discussions.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00029 | $0.01759 |
| Opus 5 | $0.00015 | $0.00879 |
| Sonnet 5 | $0.00006 | $0.00352 |
| Haiku 4.5 | $0.00003 | $0.00176 |
Grade B, and why
news-from-discussions scanned grade B 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 11d 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.
Reads agent configuration directoriesmediumAgent snooping
.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.
The "For You" picks come from reading the user's own files — memory entries, project TODOs, anything you can find at `~/.claude/projects/*/memory/`. The skill doesn't ask the user to list their interests because the inte How it starts
The opening of the file, as written. The whole thing — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
News From Discussions
A morning briefing that reads who you are from your own files — past conversations, memory, project TODOs — and delivers a news digest tailored to what you've actually been thinking about, not topic tags you picked once and forgot.
Two phases:
- Checklists — pending TODOs across your projects, printed immediately.
- News digest — personalized "For You" + general categories, derived from your memory + project context.
Behavior
Phase 1 — Checklists (print immediately)
- Read a global TODO file if one exists at
~/.claude/TODO.mdor~/TODO.md. Treat it as one project ("global"). - Auto-discover project TODOs: scan
~/for direct subdirectories containing aTODO.md(skip hidden dirs and common noise likenode_modules,Library,Applications). Each becomes a project section. - Present each project as a checklist with pending items first, then completed. Right-align
— #Nnumbers within each section so they line up. - End Phase 1 with: "What do you want to work on?"
The user can reference items by project + number, e.g. "global #2" or "myproject #1".
Phase 2 — News Digest (after Phase 1 is fully printed)
- Gather context — read these (skip any that are missing):
- Memory files at
~/.claude/projects/*/memory/*.md ~/.claude/news-from-discussions/recent-headlines.md(used to avoid repeats across days)
- Memory files at
- Run ~6 WebSearch queries in parallel:
- 2 personalized "For You" — derive queries from the user's interests, recent learnings, current domains, and project context inferred from memory + TODOs. Reflect who they are as a person, not literal TODO text.
- 1 general news headlines
- 1 AI & tech news
- 1 niche of strongest interest — pick the topic that shows up most in their memory/projects (e.g. design, biotech, finance, gaming, cooking, parenting). One category, varies per user.
- 1 community buzz — viral/trending discussions from Hacker News, Reddit, X. Surfaces things that haven't hit mainstream news yet.
- Curate 3–5 items per category. Deduplicate across sections. Skip any headline already in
recent-headlines.md. - Print the For You and News Digest sections (format below).
- Update
~/.claude/news-from-discussions/recent-headlines.md— append today's headlines (date + one-line summary). Trim entries older than 7 days. - Suggested actions — Review today's digest. For each item, ask: does this map to a concrete, actionable next step for one of the user's existing projects? If yes, draft a TODO and assign it to the matching project. Print the Suggested TODOs section and wait for approval. The user can:
- "approve all" — write all suggestions to their respective project
TODO.mdfiles - "approve [project] #N" — approve specific items
- "skip" or "skip [project] #N" — discard
- "edit #N to say X" — modify before writing
- If no items map to actionable TODOs, skip this section entirely.
- "approve all" — write all suggestions to their respective project
- Optional: write to file. If invoked with
--out <path>or the user has set the env varNEWS_FROM_DISCUSSIONS_OUT, also write the full briefing as markdown to that path. This enables downstream delivery (email, Slack, etc.) — see README.
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.
- 11d ago First seen · 144 lines · 29 tokens per session scan B fb69e0ea3bc1
news-from-discussions is a skill published in the GitHub repository kimsb2429/claude-skills (1 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 1,759 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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