Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
/plugin marketplace add olehsvyrydov/AI-development-teamnpx agentmods add plugins/olehsvyrydov/ai-development-team/claudegit clone --depth 1 https://github.com/olehsvyrydov/AI-development-teamGrade A, and why
ai-dev-team 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 3d 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
{
"name": "ai-dev-team",
"description": "A specialist agent team plus an enforced, proportional workflow: role agents that self-route to deep references, cross-cutting process skills for the gate contract, work-item lifecycle, proving a change landed, review tiering, model selection, research method, grounded-answer audit and pull-request completion, and gate-based delivery. Editor-neutral, OSS-first.",
"author": {
"name": "Oleh Svyrydov"
},
"homepage": "https://github.com/olehsvyrydov/AI-development-team",
"repository": "https://github.com/olehsvyrydov/AI-development-team",
"license": "MIT"
}
What it installs
The manifest is a name and a version. 7 skills, 50 commands travel with it, and installing the plugin installs all of them — 1,782 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill ui-designer A 83 tokens
- Skill solution-architect A 104 tokens
- Skill accountant A 76 tokens
- Skill legal-counsel A 83 tokens
- Skill answer-audit A 78 tokens
- Skill ai-dev-team A 84 tokens
- Skill ux-researcher A 124 tokens
- Command agents A 11 tokens
- Command bug A 19 tokens
- Command luda A 43 tokens
- Command memory A 36 tokens
- Command all A 25 tokens
- Command design-sprint A 26 tokens
- Command kai A 27 tokens
- Command rob A 11 tokens
- Command verify A 27 tokens
- Command issue A 26 tokens
- Command ui A 14 tokens
- Command aura A 27 tokens
- Command be A 14 tokens
- Command fe A 17 tokens
- Command finn A 25 tokens
- Command secops A 29 tokens
- Command apex A 26 tokens
- Command james A 18 tokens
- Command jorge A 28 tokens
- Command rev A 16 tokens
- Command adam A 18 tokens
- Command alex A 19 tokens
- Command anna A 21 tokens
- Command arch A 15 tokens
- Command ba A 14 tokens
- Command e2e A 16 tokens
- Command fin A 15 tokens
- Command inga A 23 tokens
- Command legal A 14 tokens
- Command max A 20 tokens
- Command mkt A 14 tokens
- Command qa A 14 tokens
- Command soren A 29 tokens
- Command ext A 43 tokens
- Command devops A 28 tokens
- Command mlops A 30 tokens
- Command accountant A 28 tokens
- Command ai A 29 tokens
- Command android A 21 tokens
- Command data A 25 tokens
- Command dba A 28 tokens
- Command ios A 24 tokens
- Command perf A 26 tokens
- Command sre A 28 tokens
- Command tw A 30 tokens
- Command ux A 24 tokens
- Command reviewer A 19 tokens
- Command tester A 16 tokens
- Command sm A 38 tokens
- Command po A 16 tokens
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.
- 3d ago First seen · 11 lines scan A 01422cbd2eec
ai-dev-team is a plugin published in the GitHub repository olehsvyrydov/AI-development-team (16 stars, last pushed 24d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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 2026-08-30.
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