Borrowing it
Nothing to install: this file belongs to alfadur7/llm-wiki-newsroom. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/alfadur7/llm-wiki-newsroom/main/.claude/commands/wiki-news.mdgit clone --depth 1 https://github.com/alfadur7/llm-wiki-newsroomWrote 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/alfadur7/llm-wiki-newsroom/wiki-news)<a href="https://agentmods.dev/commands/alfadur7/llm-wiki-newsroom/wiki-news"><img src="https://agentmods.dev/badge/commands/alfadur7/llm-wiki-newsroom/wiki-news/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/commands/alfadur7/llm-wiki-newsroom/wiki-news"><img src="https://agentmods.dev/badge/commands/alfadur7/llm-wiki-newsroom/wiki-news.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 | $0.00000 | $0.01513 |
| Opus 5 | $0.00000 | $0.00757 |
| Sonnet 5 | $0.00000 | $0.00303 |
| Haiku 4.5 | $0.00000 | $0.00151 |
Grade A, and why
wiki-news 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 today.
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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Search for latest news related to the LLM Wiki's key topics.
Usage: /wiki-news [cluster|keyword | --gap [<slug>] [--no-filter]] — argument optional
If $ARGUMENTS is empty: show the usage below, then proceed with an all-cluster search (do not stop).
Usage: /wiki-news [cluster|keyword | --gap [<slug>] [--no-filter]]
Examples:
/wiki-news # search all clusters (default)
/wiki-news open-source-ai-definition # a specific cluster (slug)
/wiki-news open weights # a specific cluster (name)
/wiki-news DeepSeek open model # free keyword
/wiki-news --gap # gap fill: deterministic hub crawl → _inbox.md (Track A)
/wiki-news --gap single-source # enrich a single gap type
/wiki-news --gap --no-filter # disable the domain filter
The --gap slug is Track A only: single-source · stale-hub.
Traversal Pattern
Reading domain — the Reporter does an external search per cluster via parallel spawn, then (optionally) an ingest chain. It runs independent cluster queries concurrently in breadth-first parallel mode.
| Phase | Cycle | Owner |
|---|---|---|
| Read wiki context | GROUND (own context) | Editor-in-Chief (read overview·index·graph/_clusters.json) |
| Build cluster queries | — | Editor-in-Chief |
| External WebSearch | GROUND breadth-first | Reporter multi-spawn (1 instance per cluster) |
| Duplicate check | — | Editor-in-Chief (_source_map.json matching) |
| Write report | — | Editor-in-Chief |
| (optional) inbox queue append | — | Editor-in-Chief (_inbox.md) — fetch·ingest is the separate /wiki-ingest inbox |
Cluster slug list SoT: graph/_clusters.json::clusters[].slug (single SoT, varies with ingest accumulation).
Procedure (Editor-in-Chief Orchestration)
- Read wiki context —
wiki/overview.md(key themes·entities),wiki/index.md(cluster breakdown),graph/_clusters.json(clusters[].members·top_tags·source_assignments) - Build search queries:
- If a cluster argument is given — match slug/name against
_clusters.json::clusters[], extract 3-5 member hubs with clear labels, combine the hub names (e.g.open-source-ai-definition→ "OpenSourceInitiative Meta open weights AI definition 2026") - If no argument — the top 5 clusters by
_clusters.jsonsize, combining 2-3 hubs each - Add specific event·person keywords from the overview.md narrative (e.g. "DeepSeek open model release")
- Append the current year for recency
- Queries default to English; build Korean queries (for Korean news sources) only under
WIKI_LANG=ko
- If a cluster argument is given — match slug/name against
- Reporter parallel spawn — perform WebSearch per cluster (independent cluster queries run concurrently)
- Duplicate check — match each result's title·URL against
wiki/sources/_source_map.json(or grepwiki/sources/for similar keywords) - Write report — markdown report of category·title·source·date·ingest status (new / already ingested)
- Recommend top articles — suggest ingest + wait for the user's decision
- After the user's decision — append the chosen article URLs to
_inbox.mdas# source=interactive(fetch·ingest is the separate/wiki-ingest inbox), or save the report towiki/syntheses/
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.
- today Changed · -6 lines bbf56a46a2cd
- 12d ago First seen · 87 lines · 0 tokens per session scan A 3347bb168048
wiki-news is a command published in the GitHub repository alfadur7/llm-wiki-newsroom (85 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,513 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.
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