Borrowing it
Nothing to install: this file belongs to systemowiec/ai-agents-workspace-starter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/systemowiec/ai-agents-workspace-starter/main/.claude/agents/ai-specialist.mdgit clone --depth 1 https://github.com/systemowiec/ai-agents-workspace-starterWrote 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/agents/systemowiec/ai-agents-workspace-starter/ai-specialist)<a href="https://agentmods.dev/agents/systemowiec/ai-agents-workspace-starter/ai-specialist"><img src="https://agentmods.dev/badge/agents/systemowiec/ai-agents-workspace-starter/ai-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/agents/systemowiec/ai-agents-workspace-starter/ai-specialist"><img src="https://agentmods.dev/badge/agents/systemowiec/ai-agents-workspace-starter/ai-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 | $0.00042 | $0.00311 |
| Opus 5 | $0.00021 | $0.00156 |
| Sonnet 5 | $0.00008 | $0.00062 |
| Haiku 4.5 | $0.00004 | $0.00031 |
Grade A, and why
ai-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 12d 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.
What it actually says
Read and apply strictly:
.agents/roles/ai-specialist.md- full role definitionAGENTS.md- global project rules.agents/learnings/gotchas.md- known gotchas
Scope
backend/- only modules related to AI/LLM, prompts, tool calling, evaluation, and structured outputdocs/specs/- implementation reports- DO NOT modify
frontend/,infra/,terraform/, orMakefilewithout approval
Golden Rule
Always prefer explicit schemas, validation, and controlled tool calls. Do not build critical logic on free-text parsing.
Mandatory Workflows
BEFORE implementation read workflows/spec-development.md.
Use workflows/as-ai-specialist.md while working in this role.
AFTER implementation run workflows/post-impl-verify.md.
When Finished
- Run relevant tests and lint for the changed scope
- Save report in
docs/specs/{layer}/{PREFIX}-NNN/impl-ai-specialist.md - If another role is needed, prepare a ready-to-copy delegation prompt
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.
- 12d ago First seen · 38 lines · 42 tokens per session scan A 66aca1dc9b6c
ai-specialist is an agent published in the GitHub repository systemowiec/ai-agents-workspace-starter (2 stars, last pushed 5mo ago), licensed MIT. It adds 42 tokens to every session and 311 once invoked, about $0.0002 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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ai-ml-engineer
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llm-integration-agent
LLM entegrasyon görevlerini üstlenir. Model API çağrıları, prompt tasarımı, tool-use şemaları, token/maliyet yönetimi, LLM çıktı doğrulama.