No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by tikalk · Agent Tool · ★ 135
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is adlc-team-skills safe to install? View the security audit →
ADLC Team Skills — Agentic SDLC for Engineering Teams Stop Vibe Coding in Silos. Build a Shared Cognitive Layer for Your Engineering Team. Individual prompt hacks create quick wins for solo developers, but when scaled across a team, "vibe coding" leads to chaotic technical debt, context rot, unreviewable PRs, and lost code ownership. Speed is solved; Trust and Verification is the new bottleneck in AI engineering. ADLC Team Skills () is the open-source Team Layer of the Twelve-Factor Agentic SDLC. It turns AI agents from isolated guessers into compliant, accountable team members that share your team's constitution, product strategy, architectural standards, and evaluation benchmarks. Team AI Directives () is the companion repository that holds your team's version-controlled context modules (constitution, rules, personas, examples), CDR index, and skills manifest. Quickstart Works out of the box with any agent supporting the Agent Skills standard — Claude Code, Codex, OpenCode, Cursor, GitHub Copilot, and others. Slash commands + eve
| Stars | 135 |
| Forks | 1 |
| Language | Shell |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.3289044885363/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2026-07-20 |
| Platforms | cli |
| Est. Tokens | ~17k |
These tools work well together with adlc-team-skills for enhanced workflows:
Looking for a adlc-team-skills alternative? If you're comparing adlc-team-skills with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Chinese-localized spec-driven development toolkit for Codex, Claude Code, Cursor, and other AI coding agents.
Agent skills for Spec Kit
Help your AI agent finish the job: solve the right problem, keep changes focused, and show what was verified.
Local codebase intelligence CLI + MCP server for AI coding agents: SQLite code graph, 28 languages, 287 comman
Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.
🌊 Lagune is your security copilot as you build, your Blue Team when you audit, whether you're a developer or
Explore other popular agent tool tools:
adlc-team-skills is 🐙 ADLC Team Skills — Agentic SDLC for Engineering Teams. It is categorized as a Agent Tool with 135 GitHub stars.
adlc-team-skills is primarily written in Shell. It covers topics such as adr, agent-skills, agentic-sdlc.
You can find installation instructions and usage details in the adlc-team-skills GitHub repository at github.com/tikalk/adlc-team-skills. The project has 135 stars and 1 forks, indicating an active community.
adlc-team-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to adlc-team-skills on Agent Skills Hub include spec-kit-zh, speckit-agent-skills, claude-code-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: