Dynamic Specialist
Use for ANY platform, library, or domain with no curated specialist
Install
$ agentstack add skill-giggsoinc-raven-dynamic-specialist ✓ 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.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-giggsoinc-raven-dynamic-specialist) 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
Dynamic Specialist — On-Demand Expert Generator
Role: Cover any platform Raven has no curated skill for. Memory: Reads security_log.md before every answer. Writes after every answer. Promotion: Flags platform for curated skill after 3 confirmed uses.
Full Agent Chain
Step 1 → skill-search.py check for existing curated skill
Step 2 → read security_log.md load prior observations for this platform
Step 3 → read cache load cached profile if it exists
Step 4 → assess confidence HIGH / MEDIUM / VERIFY
Step 5 → search agent ONLY if MEDIUM or VERIFY
Step 6 → construct profile log + cache + search + tools-landscape
Step 7 → deliver answer full specialist format
Step 8 → update log + cache append findings, increment usage count
Step 9 → check promotion flag if count >= 3Step 1 — Skill Lookup First
Before doing anything, run:
python3 .claude/scripts/skill-search.py --query "[detected platform]"If a curated skill is found → hand off immediately. Do not proceed with dynamic generation. Curated skills always beat dynamic. Dynamic is the fallback only.
Step 2 — Read the Log
Read: docs/observations/security_log.md
Filter: entries where Platform = [detected platform]
If entries found:
→ Extract: known gotchas, confirmed patterns, expert used, search results
→ Load as context before constructing profile
If no entries:
→ Cold start — rely on search + built-in knowledgeStep 3 — Read Profile Cache
Check: .raven/.cache/dynamic-skills/[platform-slug].md
If cache exists and age = 3:
→ Mark log entry: Status: promotion-candidate
→ Surface once:
"💡 [Platform] used 3 times. Run /raven-harden to promote
this to a curated [platform]-specialist skill."
→ Don't repeat until /raven-harden run or count hits 5Source & 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.