Install
$ agentstack add skill-neurofoo-agent-skills-wrap ✓ 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
WRAP Decision Framework
Apply the complete WRAP framework to make a better decision by countering the four villains of decision-making.
Instructions
Work through all four phases sequentially. Each phase targets a specific cognitive bias that undermines good decisions.
Output Format
Decision: [What are we deciding?] Context: [Key constraints and stakes]
W: WIDEN Your Options
Counter: Narrow Framing ("Should I do X?" → "What are all my options?")
Current Framing How is the decision currently framed? (Often as "whether or not")
Expanded Options | # | Option | Why It's Worth Considering | |---|--------|---------------------------| | 1 | [option] | [rationale] | | 2 | [option] | [rationale] | | 3 | [option] | [rationale] | | 4 | [option] | [rationale] |
Option-Finding Techniques
- Vanishing options test: "If you couldn't do X, what would you do?"
- Opportunity cost: "What else could you do with this time/money?"
- Find someone who solved it: "Who's had this problem?"
R: REALITY-TEST Your Assumptions
Counter: Confirmation Bias (seeking evidence that confirms what we want)
Key Assumptions | Assumption | How Would We Know If Wrong? | |------------|----------------------------| | [assumption 1] | [test] | | [assumption 2] | [test] |
Consider the Opposite For each option, what would it take to be convinced it's wrong?
Ooch Is there a small experiment we can run to test this before fully committing?
| Option | Small Test | What We'd Learn | |--------|-----------|-----------------| | [option] | [test] | [insight] |
A: ATTAIN Distance Before Deciding
Counter: Short-term Emotion (deciding when angry, excited, or desperate)
10/10/10 | Time Horizon | How will you feel about this decision? | |--------------|----------------------------------------| | 10 minutes | [how you feel now] | | 10 months | [how you'll likely feel] | | 10 years | [long-term perspective] |
What Would I Tell My Best Friend? If someone you loved faced this decision, what would you tell them?
P: PREPARE to Be Wrong
Counter: Overconfidence ("I'm sure this will work")
Premortem Imagine this decision failed completely. What went wrong?
| Failure Mode | How to Prevent/Detect | |--------------|----------------------| | [what could fail] | [safeguard] |
Tripwires Set a future point to reconsider:
| Tripwire | Action If Triggered | |----------|-------------------| | [date or condition] | [what we'll do] |
Decision
Recommendation Based on the WRAP analysis: > [Your decision and reasoning]
Key Safeguards
- [Safeguard 1]
- [Safeguard 2]
Review Date: [When to reassess]
Guidelines
- Don't skip phases—each counters a different bias
- "Should I?" is almost always narrow framing
- Look for the third option beyond the obvious two
- Ooch when you can—small tests beat big analysis
- Set tripwires before you need them
$ARGUMENTS
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: neurofoo
- Source: neurofoo/agent-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.