Install
$ agentstack add skill-horizonbrute-standardized-ai-looping-language-saill-try-my-prompt ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
About
Skill: /try-my-prompt
Model preference: #midcost
Given a natural-language prompt, invoke /convert-prompt-to-saill to do the conversion, then present the result in two clearly-labelled sections.
Steps
- Receive the user's prompt. If none was supplied, ask for it.
- Invoke
/convert-prompt-to-saill. Do NOT do the conversion yourself — hand off entirely to that skill.
- From the output of step 2, present two sections:
Section 1 — agent_teams.md entry
The ### TeamName + numbered roles block, exactly as it would appear in agent_teams.md. Render it in a fenced code block. This is the copy-paste-ready SAILL form.
Section 2 — One-Line Invocation
A single terse line showing how to invoke the team once it is defined. This is the post-implementation invocation — the payoff of naming the team.
Example shape:
"Send the Investigate & Fix team at -context-scope-."
Keep it to one line. Surface any -context- slots the caller must fill in.
Notes
- This skill only orchestrates and formats. All SAILL logic lives in
/convert-prompt-to-saill. - Section 1 is the definition; Section 2 is the invocation. Terseness is the point.
- After presenting both sections, offer the same next steps that
/convert-prompt-to-saillwould: save (/agent-teams), run, or test (/test-agent-teams).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: HorizonBrute
- Source: HorizonBrute/StandardizedAILooping_Language-SAILL
- License: MIT
- Homepage: https://horizonbrute.github.io/StandardizedAILooping_Language-SAILL/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.