Install
$ agentstack add skill-tmusser-ai-engineering-skills-constitution-lite ✓ 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →About
Constitution Lite
Purpose
Create a small set of project rules before repeated agent work.
When to use
Use when a project will need multiple agent sessions, multiple implementation slices, or repeated decisions about quality, data, autonomy, and simplicity.
Inputs
- Project goal
- Existing
CONTEXT.mdor notes - Known technical constraints
- Team or owner preferences
- Risk areas
Workflow
- Define engineering principles.
- Define testing principles.
- Define data, model, or dashboard principles if relevant.
- Define agent autonomy boundaries.
- Define simplicity rules.
- List forbidden patterns.
- Define how rules may be amended.
- Keep the result short enough to read before implementation.
Outputs
CONSTITUTION.md- Engineering principles
- Testing principles
- Data/model/dashboard principles
- Agent autonomy boundaries
- Simplicity rules
- Forbidden patterns
- Amendment process
Stop conditions
- The rules are clear enough to guide repeated agent work.
- A principle conflicts with the project goal and needs a human decision.
Anti-patterns
- Creating a policy document too long to use.
- Adding rules that cannot change implementation choices.
- Treating temporary preferences as permanent principles.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: tmusser
- Source: tmusser/ai-engineering-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.