03_task5

A support-inbox workflow that reads Slack messages, judges urgency, assigns issues to internal people, and prepares replies. Slack is a team messaging service.

In plain words
What is it for?
Use it to catch up on support requests, escalate urgent problems, find the right internal contact, and save customer-facing replies for approval.
Why use it?
It turns a backlog of support messages into a prioritized list with clear owners, while keeping customer replies as drafts for human review.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/internlm/wildclawbench/03_task5
Any agent
npx skills add InternLM/WildClawBench --skill 03_task5
Clone the repo
git clone --depth 1 https://github.com/InternLM/WildClawBench

Made for: Claude Code, Codex.

Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 846 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00057 $0.00846
Opus 5 $0.00028 $0.00423
Sonnet 5 $0.00011 $0.00169
Haiku 4.5 $0.00006 $0.00085

Measured 3d ago against content hash 9eabc954ec6c, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

03_task5 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 3d 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.

skills/03_task5/SKILL.md · 102 lines

How it starts

The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Slack Support Triage Skill

Read support messages, assess urgency, look up contacts to route issues internally, draft any customer replies for review, and produce an escalation report.

Tools

All tools are defined in tmp_workspace/utils.py:

  • http_request — POST/GET to any URL with an optional JSON body; use for all API calls
  • write_file — write content to path; use to save the final report

Slack API

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>"}
Send message POST /slack/send {"to": "@user", "content": "..."} — internal team only
Save draft POST /slack/drafts/save {"to": "@user", "content": "..."}

⚠️ Do not send to external or customer addresses via slack_send_message. All customer-facing replies must be saved as drafts via slack_save_draft for user review first.


Contacts API

Base URL: http://localhost:9103

Action Endpoint Required Body
Search contacts POST /contacts/search {"query": "keyword"}
Get contact POST /contacts/get {"contact_id": "CT-501"}

Use the Contacts API to identify whether a sender is a customer or internal team member, and to find the right internal owner to route each issue to.


Workflow

  1. List messages — fetch recent messages with slack_list_messages
  2. Read each in full — retrieve complete content via slack_get_message
  3. Classify sender — use contacts_search / contacts_get to determine if internal or external/customer
  4. Assess urgency — flag as Critical / High / Medium / Low based on impact and time-sensitivity
  5. Route internally — identify the right team member for each issue; send routing notes via slack_send_message (internal only)
  6. Draft customer replies — for any external-facing response needed, save via slack_save_draft
  7. Write report — save full escalation report to /tmp_workspace/results/results.md

Read the full file on GitHub · 102 lines

Changes

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.

  1. 3d ago First seen · 102 lines · 57 tokens per session scan A 9eabc954ec6c

Subscribe to this mod's changes

03_task5 is a skill published in the GitHub repository InternLM/WildClawBench (516 stars, last pushed 16d ago), licensed MIT. It adds 57 tokens to every session and 846 once invoked, about $0.0003 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.