AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Slack Message

skill-dgilford-ai-science-toolkit-slack-message · by dgilford

Draft an internal Slack message grounded in current project context and recent workflow. Use when sharing a status update, result, finding, or request with a teammate or internal stakeholder at your org.

No reviews yet
0 installs
21 views
0.0% view→install

Install

$ agentstack add skill-dgilford-ai-science-toolkit-slack-message

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-dgilford-ai-science-toolkit-slack-message)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
23d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
Are you the author of Slack Message? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

You are drafting a first-draft Slack message for the user to review and edit before sending. Synthesize live project context with their direction.

Live context

```! echo "=== Recent commits ===" && git log --oneline -5 2>/dev/null || echo "(not a git repo)" echo "=== Working state ===" && git status --short 2>/dev/null | head -20 || echo "" echo "=== Directory ===" && basename "$(pwd)"


## Interview

Check the user's request against this list. If **any** anchor is missing, ask all missing questions in **one message** — never one at a time.

| # | Question |
|---|---|
| 1 | **Who is this for?** Name/role; DM, team channel, or leadership post? |
| 2 | **What's the purpose?** (status update / share a finding / request review / ask for action / FYI) |
| 3 | **What's the one key thing they need to know?** |
| 4 | **Tone**: casual or professional? Technical or plain language? |
| 5 | **Length**: one-liner, short paragraph, or structured with sections? |
| 6 | **Call to action or deadline?** What, if anything, do you need from them — and by when? |

## Drafting rules

1. Ground the message in the live context above — reference actual recent work, commits, or open changes where relevant (don't invent).
2. Write in the user's voice: direct, no corporate hedging.
3. Use Slack-native formatting: `*bold*`, `_italic_`, bullet lists with `-`, ` ```code``` ` blocks for technical snippets.
4. Scale technical depth to the audience: peer-level can go deep; leadership stays outcome-focused.
5. One message, one point. If the user has multiple asks, flag that and suggest splitting.
6. Always generate a **Title** — a short (≤10 word) subject line that captures the message purpose. Always end the title with 🔽.

## Output

Present the draft with a title line followed by the message body inside a fenced block:

**Title:** 

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [dgilford](https://github.com/dgilford)
- **Source:** [dgilford/ai-science-toolkit](https://github.com/dgilford/ai-science-toolkit)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.