Install
$ agentstack add skill-ai-driven-dev-framework-02-challenge ✓ 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
Challenge
Rethink prior work and surface what is wrong, missing, or duplicated. Output a structured report with a confidence score so the user knows whether to ship, iterate, or rework.
Available actions
| # | Action | Role | Input | | --- | ----------- | ------------------------------------------------------------- | ------------------------------ | | 01 | challenge | Rethink prior work, classify findings, score confidence | reviewtarget + agreedplan |
Default flow
Single action skill. The router dispatches to challenge whenever the trigger phrases above appear.
Transversal rules
- Think in first principles. Every step must be logical, with no gap and no missing information.
- Challenge own assumptions and the user's decisions before declaring confidence.
- Look for edge cases, errors, inconsistencies, missing parts, duplications, and optimizations.
- Aim for simplifications. If the work can be smaller, say so.
- Output the structured report verbatim per the action's
## Outputsblock.
References
@references/confidence-rubric.md: tiered rubric for the confidence percentage.
Assets
- None.
External data
- None.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: ai-driven-dev
- Source: ai-driven-dev/framework
- License: MIT
- Homepage: https://www.ai-driven-dev.fr/
Install and usage instructions live in the source repository linked above.
Reviews
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Versions
- v0.1.0 Imported from the upstream source.