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 opendatahub-io/ai-helpers --skill vllm-slack-summarygit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/opendatahub-io/ai-helpers/vllm-slack-summary)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/vllm-slack-summary"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/vllm-slack-summary/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/opendatahub-io/ai-helpers/vllm-slack-summary"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/vllm-slack-summary.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00033 | $0.00522 |
| Opus 5 | $0.00016 | $0.00261 |
| Sonnet 5 | $0.00007 | $0.00104 |
| Haiku 4.5 | $0.00003 | $0.00052 |
Grade A, and why
vllm-slack-summary 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 8d 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
vLLM slack Summary Skill
Automates generating slack summaries of the vLLM CI SIG Slack channel for the Red Hat AI Inference Server (RHAIIS) team.
Prerequisites
- slackdump installed and authenticated with vLLM workspace
- Install: https://github.com/rusq/slackdump
- Auth: Run
slackdump workspace add
Usage
./scripts/generate_transcript.py # Last 7 days (default)
./scripts/generate_transcript.py --days 14 # Custom date range
./scripts/generate_transcript.py --output-dir out # Custom output directory
Context
When summarizing the transcript, focus on:
- Breaking changes affecting the RHAIIS midstream build
- Hardware issues with H100, A100, MI300, or B200 GPUs
- CI/CD infrastructure changes impacting test reliability
- Dependencies changes in build requirements or Python packages
- Performance regressions that could affect RHAIIS
- Upstream releases and their stability status
Output
The skill creates vllm_slack_summary/ containing:
vllm_slack_summary/
├── slack_export/ # Raw Slack export
├── transcript.md # Markdown transcript
└── slack_summary_YYYY-MM-DD_to_YYYY-MM-DD.md # Summary report
After generating the transcript, analyze it and create a summary with:
- Executive Summary (2-3 sentences)
- Key Issues & Resolutions
- CI/CD Infrastructure Changes
- Action Items for Red Hat Team
Troubleshooting
| Issue | Solution |
|---|---|
| slackdump not found | Ensure slackdump is in PATH: which slackdump |
| Authentication failed | Run slackdump workspace add |
| No messages found | Check date range; channel may have no messages in that period |
Quick Reference
- Channel ID: C07R5PAL2L9 (vLLM CI SIG)
- Transcript:
vllm_slack_summary/transcript.md - Summary:
vllm_slack_summary/slack_summary_YYYY-MM-DD_to_YYYY-MM-DD.md
What ships with it
2 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.
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.
- 8d ago First seen · 66 lines · 33 tokens per session scan A cdb902afe62f
vllm-slack-summary is a skill published in the GitHub repository opendatahub-io/ai-helpers (37 stars, last pushed 4d ago), licensed Apache-2.0. It adds 33 tokens to every session and 522 once invoked, about $0.0002 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 2026-09-03.
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