Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/giggsoinc/ravennpx agentmods add skills/giggsoinc/raven/dynamic-specialistWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/giggsoinc/raven/dynamic-specialist)<a href="https://agentmods.dev/skills/giggsoinc/raven/dynamic-specialist"><img src="https://agentmods.dev/badge/skills/giggsoinc/raven/dynamic-specialist/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/giggsoinc/raven/dynamic-specialist"><img src="https://agentmods.dev/badge/skills/giggsoinc/raven/dynamic-specialist.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00074 | $0.01631 |
| Opus 5 | $0.00037 | $0.00816 |
| Sonnet 5 | $0.00015 | $0.00326 |
| Haiku 4.5 | $0.00007 | $0.00163 |
Grade A, and why
dynamic-specialist scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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 0 → check domain packs packs/ directory — curated Tier 2a knowledge
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 + pack
Step 7 → deliver answer full specialist format
Step 8 → update log + cache append findings, increment usage count
Step 9 → check promotion flag if count >= 3
Step 0 — Check Domain Packs (Tier 2a)
Check: skills/dynamic-specialist/packs/
Look for: JSON pack matching detected domain or tool category
If pack found:
→ Load pack JSON (1-2K tokens)
→ Use tools[].description, gotchas, decision_matrix for context
→ Skip search agent (Step 5) unless user asks about 'latest'
→ Pack is curated knowledge — higher trust than search results
If no pack found:
→ Proceed to Step 1 (normal dynamic flow)
Pack format: see packs/README.md
Step 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 knowledge
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 243 lines · 74 tokens per session scan A d4040bcfaa1a
dynamic-specialist is a skill published in the GitHub repository giggsoinc/raven (5 stars, last pushed 8d ago), licensed MIT. It adds 74 tokens to every session and 1,631 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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