tech-news-digest

tech-news-digest is a skill for Claude Code, Codex from draco-agent/tech-news-digest. It costs 67 tokens per session (6,764 once invoked), scanned A, original, MIT.

A system for collecting technology news from RSS feeds, Twitter/X, GitHub releases and trending projects, Reddit, and web search, then merging and scoring the results. It can produce digests in formats such as Discord messages, email, or Markdown.

In plain words
What is it for?
Use it to create recurring technology-news summaries about selected topics, using configurable sources and topics, and publish the results to supported output formats.
Why use it?
It gathers updates from several sources in one pipeline and removes duplicate items. Retry handling and source-quality scoring help organize the collected news.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; built for openclaw.

Good fit Use it to create recurring technology-news summaries about selected topics, using configurable sources and topics, and publish the results to supported output formats.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/draco-agent/tech-news-digest/tech-news-digest
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 draco-agent/tech-news-digest --skill tech-news-digest
Clone the repo
git clone --depth 1 https://github.com/draco-agent/tech-news-digest

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.

agentmods badge for tech-news-digest

README.md
[![agentmods](https://agentmods.dev/badge/skills/draco-agent/tech-news-digest/tech-news-digest/github.svg)](https://agentmods.dev/skills/draco-agent/tech-news-digest/tech-news-digest)
Your own site
<a href="https://agentmods.dev/skills/draco-agent/tech-news-digest/tech-news-digest"><img src="https://agentmods.dev/badge/skills/draco-agent/tech-news-digest/tech-news-digest/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.

agentmods 80×15 button for tech-news-digest

Your own site · 80×15
<a href="https://agentmods.dev/skills/draco-agent/tech-news-digest/tech-news-digest"><img src="https://agentmods.dev/badge/skills/draco-agent/tech-news-digest/tech-news-digest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 67 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,764 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00067 $0.06764
Opus 5.5 $0.00027 $0.02706
Sonnet 5.5 $0.00013 $0.01353
Haiku 4.5 $0.00007 $0.00676

Measured 1mo ago against content hash f84a8e03e560, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tech-news-digest 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 17 executable files (scripts/config_loader.py, scripts/enrich-articles.py, scripts/fetch-github.py, …), 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.

SKILL.md · 572 lines

How it starts

The opening of the file, as written. The whole thing — 572 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tech News Digest

Evidence-led tech digest with unified collection and one editorial selection shared across formats. Follow references/digest-prompt.md as the authoritative mode policy.

Editorial Contract

  • Daily preserves original sections: 2–4 sentence overview; configured topics (normally LLM, AI Agent, Crypto, Frontier Tech; aim for 3–5 qualified items each); KOL viewpoints ≤3; releases ≤3 repositories; project discovery ≤3; blog picks ≤3; ≤30 unique items overall. News/blog explanations normally contain 2–3 concise sentences of change, evidence and implication. Retain empty headings with a coverage note, never filler. Optimize content within sections: a request to shorten GitHub releases must not become a whole-report redesign or one-message digest.
  • Weekly ≤35 unique items: overview; configured topic sections in configured order (normally LLM, AI Agent, Crypto, Frontier Tech), with 2–4 substantial syntheses per topic as an advisory aim. Each synthesis uses 2–4 concise sentences joining week progress, evidence and implications, not concatenated headlines. Retain empty topic, key-release, project and viewpoint/reading headings with honest non-bullet coverage notes. Key releases ≤5 repositories (Chinese explanation ≤80 characters); projects ≤3; viewpoints/deep reading ≤4; optional next-week watch ≤3 pending releases, fixes or uncertainties. Do not force experiments; factual watch claims need citations, clearly proposed/not-performed experiments retain the narrow citation exemption.
  • Caps are not quotas. Count evidence events inside syntheses and standalone watch items. Preserve topic sections in both modes; no global three-theme constraint. Body limits: daily ≤6500 characters, weekly ≤10000, excluding URL targets; never fill to the limit.
  • Mandatory security coverage: follow the primary-alert/search and pre-delivery checks in references/digest-prompt.md. Preserve existing topics; use optional 🛡️ 安全警报 after the overview only for credible urgent incidents in either mode; weekly may also use an optional dedicated security/risk section for consequential nonurgent risks. Omit when empty and count/deduplicate within existing caps. Log checks and decisions; failed collection is not evidence of no incidents.
  • Relevance, impact and evidence before internal scores. Exceptional claims need original technical evidence and independent assessment where possible, otherwise exclude/downgrade. No public scores, social metrics or operational statistics. Daily keeps substantive, nonduplicative KOL viewpoints. A material coverage gap may receive one concise caveat without raw counts; details stay in the final operational log.
  • Deduplicate events and canonical URLs across the whole report. Daily repeats require incremental developments; weekly may synthesize daily coverage. Daily keeps blog picks; weekly viewpoints/deep reading may include original opinions, papers, docs, postmortems or essays.
  • Project discovery is not verified trending; no lifetime-derived growth or repeated mature repos without meaningful changes. Preserve the prompt's consequential-release rules, exact versions and official links.
  • Plain bullets with bold titles; concise inline Discord links [来源](<URL>). Section-aware chunks ≤1700 characters including numbering. Apply the requested language, including Simplified Chinese explanations when configured.
  • Validate the canonical archive with python3 scripts/validate-digest.py --input FILE --mode daily or --mode weekly before delivery; fix all errors. Weekly production runs append one --topic-heading 'EXACT LOCALIZED HEADING' per configured topic in order; without these flags the gate cannot infer custom headings. Missing/failing validation blocks delivery. Manually verify unique-event counts inside syntheses, required non-topic headings/overview, security placement, evidence/coverage honesty and cross-format parity too.
  • Discord, Markdown, email and PDF use identical selections/judgments. Operational stats/runtime attribution belong in the final log, not content.
  • Legacy ITEMS_PER_SECTION, BLOG_PICKS_COUNT and EXTRA_SECTIONS are advisory parameters superseded by mode policy: ignore their counts/extra sections, especially duplicate weekly trends.

Read the full file on GitHub · 572 lines

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.

  1. 1mo ago Changed f84a8e03e560
  2. 1mo ago Changed · +1 lines 5f77ba905ab9
  3. 1mo ago Changed d6ee14a80234
  4. 1mo ago Changed · +8 lines · -4 tokens per session 4526fa57a4dd
  5. 2mo ago First seen · 563 lines · 71 tokens per session scan A 18607f155f2b

Subscribe to this mod's changes

tech-news-digest is a skill published in the GitHub repository draco-agent/tech-news-digest (77 stars, last pushed 1mo ago), licensed MIT. It adds 67 tokens to every session and 6,764 once invoked, about $0.0003 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 2026-08-30.

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