by tikalk · Codex Skill · ★ 145
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx adlc-skills-cli add tikalk/adlc-team-skills -a opencode
npx skills add tikalk/adlc-team-skills -a claude -gTaken from the project's README on GitHub.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 145 |
| Forks | 2 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 67/100 |
| Open Issues | 14 |
| Last Updated | 2026-11-04 |
| Created | 2026-07-20 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~20k |
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.
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: