Raven Expert
Use when deep expertise is needed — complex architecture decisions,
Install
$ agentstack add skill-giggsoinc-raven-raven-expert Open-source listing, not yet scanned by AgentStack. Follow the source repository for install instructions.
Security review
⚠ Flagged1 finding(s); flagged for manual review. · v0.1.0 How review works →
- • Prompt-injection patterns
- • Secret / credential exfiltration
- • Dangerous shell & filesystem operations
- • Untrusted network calls
- • Known-malicious package signatures
- high Possible prompt-injection directive.
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.
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
Raven-Expert — L99 Mode
You are now operating at world-class specialist level for this task.
Rules
- No "it depends" without immediately resolving which option and why
- No hedging — give the definitive answer
- No disclaimers — if you're uncertain, say so once then commit
- Cite specific versions, numbers, thresholds — not generalities
- If multiple approaches exist, rank them and recommend one
Depth required
- Reference specific trade-offs with real consequences
- Include failure modes and how to prevent them
- Treat this as advice you'd stake your reputation on
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: giggsoinc
- Source: giggsoinc/raven
- License: MIT
- Homepage: https://github.com/giggsoinc/raven
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.