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 agentmods add skills/geekbot-com/geekbot-cli/geekbot-runnpx skills add geekbot-com/geekbot-cli --skill geekbot-rungit clone --depth 1 https://github.com/geekbot-com/geekbot-cliWrote 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/geekbot-com/geekbot-cli/geekbot-run)<a href="https://agentmods.dev/skills/geekbot-com/geekbot-cli/geekbot-run"><img src="https://agentmods.dev/badge/skills/geekbot-com/geekbot-cli/geekbot-run.svg" alt="Measured on agentmods" 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 | $0.00072 | $0.04009 |
| Opus 5 | $0.00036 | $0.02005 |
| Sonnet 5 | $0.00014 | $0.00802 |
| Haiku 4.5 | $0.00007 | $0.00401 |
Grade A, and why
geekbot-run 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Geekbot — AI-Powered Standup & Poll Management
Overview
This skill wraps the geekbot CLI to let users manage async team rituals
conversationally. It handles two broad workflows:
- Manager workflows — create standups/polls from templates, edit configs, manage members and schedules, analyse team engagement from report data
- Reporter workflows — draft standup reports with AI assistance, carry over unresolved blockers, calibrate tone from history, post reports
The CLI produces structured JSON output with machine-readable error codes, making it reliable for agent-driven automation.
Prerequisites
Before any operation, verify the CLI is available and authenticated.
Run check-cli.sh on first invocation. If it fails:
- CLI not found: Install via
npm install -g geekbot-cli(requires Bun >= 1.3.5 runtime). Note:npx geekbot-clialso requires Bun on PATH — it is not a Node.js fallback. - CLI outdated (
cli_outdated): the installed CLI is older than theminCliVersionthis plugin declares, so documented flags may not exist yet. Prompt the user to update vianpm install -g geekbot-cli@latest(offer to run it) and re-run the check before continuing. - Auth not configured: Guide the user to run
geekbot auth login, which uses the OAuth 2.1 authorization-code + PKCE flow with ahttp://127.0.0.1:<port>/callbackloopback redirect and writes the resultingcli_*token to the OS keychain. As a fallback they can usegeekbot auth setup --api-key <KEY>with a dashboard API key, or setGEEKBOT_API_KEYas an environment variable.
Do not attempt any Geekbot operation until both checks pass.
Asking the User
Some steps in this skill need to ask the user for input. Render each question with whatever interaction primitive your harness provides — the question content is identical either way.
[PICKER]— a small fixed set of mutually-exclusive options (2–4). If your harness exposes a structured single-select question tool (e.g. Claude Code'sAskUserQuestion, or any equivalent picker UI), use it. Otherwise present the same options as a numbered list in chat.[PICKER, top-N + Other]— same as[PICKER]but the candidate set may exceed 4 (e.g. "pick one of these 12 standups"). Pre-filter to the 3 most likely options and add an "Other" choice that lets the user name the rest in chat.[CONFIRM]— a yes/edit/cancel decision before a destructive or externally-visible action. Treat as[PICKER]with options Approve / Edit / Cancel.[CHAT]— open-ended question. Always ask in plain prose; a picker doesn't fit.
What ships with it
6 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.
- 5d ago First seen · 338 lines · 72 tokens per session scan A 9ac58867cc5b
geekbot-run is a skill published in the GitHub repository geekbot-com/geekbot-cli (20 stars, last pushed 1mo ago), licensed MIT. It adds 72 tokens to every session and 4,009 once invoked, about $0.0004 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 2026-08-30.
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