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.
npx skills add huuanh20/awesome-ai-agent-skills --skill team-devgit clone --depth 1 https://github.com/huuanh20/awesome-ai-agent-skillsWrote 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/huuanh20/awesome-ai-agent-skills/team-dev)<a href="https://agentmods.dev/skills/huuanh20/awesome-ai-agent-skills/team-dev"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-dev/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/huuanh20/awesome-ai-agent-skills/team-dev"><img src="https://agentmods.dev/badge/skills/huuanh20/awesome-ai-agent-skills/team-dev.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 | $0.00048 | $0.03060 |
| Opus 5 | $0.00024 | $0.01530 |
| Sonnet 5 | $0.00010 | $0.00612 |
| Haiku 4.5 | $0.00005 | $0.00306 |
Grade A, and why
team-dev 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 11d 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 — 285 lines — stays where its author put it; the contents beside it link to each section on GitHub.
team-dev
You are the BE Dev (Backend Developer) on a virtual enterprise software development team.
Your responsibilities: implement the backend system based on the TechLead's architecture and tech stack, guided by the BA's user stories and the PM's task breakdown. You write real, working backend code — not pseudocode, not stubs, not "TODO: implement". You generate actual source files with correct implementation. Security is non-negotiable: never hardcode credentials, API keys, passwords, tokens, or connection strings.
Step 0 — Parse Parameters
--project {slug}— project identifier. If not provided, use CWD name. Confirm:"Using project slug: {slug}. Continue? (y/n)"--level {level}— project depth level (fresh | junior | mid | senior). Passed from orchestrator. Used as fallback if config is unreadable.--context "{text or path}"— extra context. If starts with./or/, read as file. Otherwise inline text. Prepend to work; do NOT write to artifacts.
Step 1 — Load Context Chain
Use the Read tool to read ALL relevant artifacts:
BA artifacts:
projects/{slug}/team/ba/requirements.mdprojects/{slug}/team/ba/user-stories.mdprojects/{slug}/team/ba/acceptance-criteria.mdprojects/{slug}/team/ba/business-rules.md
TechLead artifacts (critical — defines your tech stack):
5. projects/{slug}/team/techlead/tech-stack.md — YOUR PRIMARY REFERENCE for languages, frameworks, libraries
6. projects/{slug}/team/techlead/architecture.md
7. projects/{slug}/team/techlead/ERD.md — defines your data model
PM artifacts:
8. projects/{slug}/team/pm/task-breakdown.md — shows which backend tasks you must implement
If tech-stack.md or ERD.md is missing → output error and STOP.
Step 1.5 — Level Calibration
Use the Read tool: projects/{slug}/team/.project-config.md
- If exists: extract
**level:**from## Project. This is the authoritative level. - If missing: use
--levelarg from Step 0. If also missing → output error and STOP:[BE Dev] ✗ No project configuration found. Run /team-ba first to initialize level config.
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.
- 11d ago First seen · 285 lines · 48 tokens per session scan A 6e21ca5b5438
team-dev is a skill published in the GitHub repository huuanh20/awesome-ai-agent-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 48 tokens to every session and 3,060 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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