Borrowing it
Nothing to install: this file belongs to guzus/ai-research-arm. 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/guzus/ai-research-arm/main/.agents/commands/gen-research-tweet.mdgit clone --depth 1 https://github.com/guzus/ai-research-armWrote 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/guzus/ai-research-arm/gen-research-tweet)<a href="https://agentmods.dev/commands/guzus/ai-research-arm/gen-research-tweet"><img src="https://agentmods.dev/badge/commands/guzus/ai-research-arm/gen-research-tweet/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/guzus/ai-research-arm/gen-research-tweet"><img src="https://agentmods.dev/badge/commands/guzus/ai-research-arm/gen-research-tweet.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 | $0.00023 | $0.00307 |
| Opus 5 | $0.00012 | $0.00153 |
| Sonnet 5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
gen-research-tweet 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 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.
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
Generative Research From Twitter/X
Input: $ARGUMENTS
Reason from first principles before dispatching: the user is not asking for a tweet summary. They are asking the GitHub Action to use the tweet as a seed, infer the real research question, verify the claims against primary sources, and publish a full generative-research article.
If the argument is empty, ask for a direct Twitter/X status URL. If it
does not start with https://x.com/ or https://twitter.com/, or does
not contain /status/, ask for a direct status URL.
Run:
gh auth status >/dev/null
gh workflow run generative-research.yml \
-f twitter_url="$ARGUMENTS" \
-f backend=claude
sleep 5
gh run list --workflow=generative-research.yml --limit 1 \
--json databaseId,status,url,createdAt,event \
--jq '.[0]'
Use backend=deepseek-v4-flash only when the user explicitly asks for
DeepSeek.
Report the run URL, gh run watch <id>, expected runtime (~20-45 min),
and destination (research/generative/). Do not write the article
locally.
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 · 38 lines · 23 tokens per session scan A c984d007e03a
gen-research-tweet is a command published in the GitHub repository guzus/ai-research-arm (11 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 307 once invoked, about $0.0001 per session on Opus 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.
Other commands, from other repositories
start-11-3
A lesson on building a workflow that fetches news from an RSS feed and distributes it by email or Slack. An RSS feed is a regularly updated list of items from a website.
start-11-3.en
Lesson 11-3: News Fetching → Email/Slack Distribution!
start-11-3.es
Leccion 11-3: Obtencion de noticias y distribucion por correo/Slack!
pi-code-review
Adversarial code review via Codex — break confidence in changes, not validate them.
pi-fact-check
Fact-check content via Gemini search + Claude verification — cross-provider claim validation.
pi-askall
Ask both Codex and Gemini the same question — get three perspectives with Claude synthesis.