Borrowing it
Nothing to install: this file belongs to haojing8312/WorkClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/haojing8312/WorkClaw/main/.claude/skills/slack-messaging/SKILL.mdgit clone --depth 1 https://github.com/haojing8312/WorkClawWrote 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/haojing8312/workclaw/slack-messaging)<a href="https://agentmods.dev/skills/haojing8312/workclaw/slack-messaging"><img src="https://agentmods.dev/badge/skills/haojing8312/workclaw/slack-messaging.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 | $0.00034 | $0.00904 |
| Opus 5 | $0.00017 | $0.00452 |
| Sonnet 5 | $0.00007 | $0.00181 |
| Haiku 4.5 | $0.00003 | $0.00090 |
Grade A, and why
slack-messaging 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 6d 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.
allowed-tools: Bash(slackcli:*, curl:*) How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Slack Messaging via slackcli
Send and read Slack messages from the command line using slackcli (shaharia-lab/slackcli).
Installation
Download the binary:
curl -sL -o /usr/local/bin/slackcli \
"https://github.com/shaharia-lab/slackcli/releases/download/v0.1.1/slackcli-linux"
chmod +x /usr/local/bin/slackcli
macOS (Intel): replace slackcli-linux with slackcli-macos
macOS (Apple Silicon): replace with slackcli-macos-arm64
Authentication
slackcli uses browser session tokens (xoxc + xoxd) - no Slack app creation required.
Interactive Setup
./scripts/extract-tokens <workspace-url>
This walks the user through extracting tokens from browser DevTools.
Manual Setup
slackcli auth login-browser \
--xoxd="xoxd-..." \
--xoxc="xoxc-..." \
--workspace-url=https://your-workspace.slack.com
Verify Auth
slackcli auth list
Finding Channels
Use slackcli conversations list to discover channels and their IDs:
# List all channels
slackcli conversations list
# Filter output
slackcli conversations list | grep -i "channel-name"
Sending Messages
# Send to a channel (use channel ID from conversations list)
slackcli messages send --recipient-id=C0XXXXXXXX --message="Hello from CLI"
# Send to a DM (use user's DM channel ID)
slackcli messages send --recipient-id=D0XXXXXXXX --message="Hey"
# Reply in a thread
slackcli messages send --recipient-id=C0XXXXXXXX --message="Thread reply" --thread-ts=1769756026.624319
The --recipient-id is always a channel ID (C...) or DM channel ID (D...).
Reading Messages
# Read last N messages from a channel
slackcli conversations read C0XXXXXXXX --limit=10
# Read as JSON (for parsing)
slackcli conversations read C0XXXXXXXX --limit=10 --json
# Read a thread
slackcli conversations read C0XXXXXXXX --thread-ts=1769756026.624319
Listing Channels
slackcli conversations list
Returns all public channels, private channels, and DMs with their IDs.
What ships with it
1 file 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.
- 6d ago First seen · 143 lines · 34 tokens per session scan A f8833689b9ed
slack-messaging is a skill published in the GitHub repository haojing8312/WorkClaw (140 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 34 tokens to every session and 904 once invoked, about $0.0002 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.
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