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/dailybothq/deepworkplan-skill/asknpx skills add DailybotHQ/deepworkplan-skill --skill askgit clone --depth 1 https://github.com/DailybotHQ/deepworkplan-skillWhat 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 | $0.00145 | $0.01659 |
| Opus 5 | $0.00072 | $0.00830 |
| Sonnet 5 | $0.00029 | $0.00332 |
| Haiku 4.5 | $0.00015 | $0.00166 |
Grade A, and why
dailybot-ask scanned grade A with 1 finding 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
metadata: {"openclaw":{"emoji":"🤖","homepage":"https://dailybot.com","requires":{"anyBins":["dailybot","curl"]},"primaryEnv":"DAILYBOT_API_KEY","install":[{"id":"cli-install-script","kind":"download","url":"https://cli. How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dailybot Ask
Requires
dailybot-cli >= 3.7.0(the skill-pack baseline) — thedailybot askcommand and full API-key parity on the AI chat. On much older CLIs the AI chat only exists as the interactive TUI (dailybot interactive) and requires a login session. Ifdailybot ask --helpis not recognized, ask the developer to rundailybot upgrade. See../SKILL.md§ Required Dailybot CLI version.
You ask the Dailybot AI assistant a question and read its answer — without
opening an interactive UI. This is the headless counterpart of the full-screen
chat (dailybot ask with no message, or the deprecated dailybot interactive):
dailybot ask "What are my pending check-ins?"
prints the assistant's answer to stdout and exits. That makes it the primary
way an autonomous agent talks to the Dailybot AI: it needs no TTY, no menu,
and works with only DAILYBOT_API_KEY (the server resolves the acting user from
the key's owner).
It is not:
dailybot-chat— that sends bot messages to Slack / Teams / Discord / Google Chat.asktalks to the AI, it does not post to a channel.dailybot-report— that posts a progress update to the Dailybot dashboard.dailybot-messages— that polls the agent-to-agent inbox.
When to Use
Trigger phrases the agent should recognize:
- "ask Dailybot …", "ask the Dailybot AI …", "query Dailybot"
- "what does Dailybot say about …", "get an answer from Dailybot"
- "have Dailybot summarize my check-ins / forms / standup"
- Any time an agent wants a one-shot, machine-readable answer from the Dailybot assistant to feed back into its own reasoning.
Do not use dailybot ask to post something to the team — that's
dailybot-chat (chat platform) or dailybot-report (dashboard).
Step 1 — Verify Setup
Read and follow the authentication steps in ../shared/auth.md.
The AI chat accepts either a login session or an org API key — an agent
with only DAILYBOT_API_KEY set can use dailybot ask directly.
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.
- 2d ago First seen · 146 lines · 145 tokens per session scan A 98f1804a2cd1
dailybot-ask is a skill published in the GitHub repository DailybotHQ/deepworkplan-skill (20 stars, last pushed 1mo ago), licensed MIT. It adds 145 tokens to every session and 1,659 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
agent-host-chat-contributions
Build and review cross-cutting agent-host chat behavior through lifecycle contributions. Use when adding turn lifecycle side effects, prompt or context injection, restored-history transformation, protocol-action observation, or when reviewing changes that add code to AgentSideEffects or AgentService.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.