03_task1
Coordinates meeting scheduling via Gmail and Calendar APIs. Use when: scheduling a meeting, checking participant availability,…
Analyzes Slack messages to assess deal or project feasibility. Use when: synthesizing fragmented stakeholder input on a deal, identifying conflicting requirements or risks, or producing a feasibility report for leadership.
$ npx -y skills add internlm/wildclawbench --skill 03_task3 --agent claude-codeHow it fires
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/03_task3Context preview
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Analyzes Slack messages to assess deal or project feasibility. Use when: synthesizing fragmented stakeholder input on a deal, identifying conflicting requirements or risks, or producing a feasibility report for leadership.
name: 03_task3 description: "Analyzes Slack messages to assess deal or project feasibility. Use when: synthesizing fragmented stakeholder input on a deal, identifying conflicting requirements or risks, or producing a feasibility report for leadership."
Read recent Slack messages about a specific deal or project, synthesize conflicting inputs, and produce a clear feasibility assessment.
All tools are defined in `tmp_workspace/utils.py`:
---
**Base URL:** `http://localhost:9110`
| Action | Endpoint | Required Body | |--------|----------|---------------| | List messages | `POST /slack/messages` | `{"days_back": 7, "max_results": 20}` (all optional) | | Get message | `POST /slack/messages/get` | `{"message_id": "<id>"}` |
> ⚠️ This is a **read-only** task. Do **not** call `slack_send_message` (`POST /slack/send`).
---
1. **List messages** — fetch recent messages with `slack_list_messages` 2. **Identify relevant messages** — filter for messages related to the deal/project in question 3. **Read each in full** — retrieve complete content via `slack_get_message` 4. **Synthesize** — across all messages, extract:
5. **Write report** — save findings to `/tmp_workspace/results/results.md`
---
# Deal Feasibility Assessment: [Deal Name] ## What's Been Committed / Proposed - ... ## Shifting or Conflicting Requirements - ... ## Risks & Likely Failure Points - ... ## Realistic Deliverability - What we can deliver: ... - What we cannot deliver: ... ## Recommended Stance ...
---
An in-the-wild benchmark for AI agents in the production harness.
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