adlc-team-skills

Skill · GitHub · ★ 144 · graded 2026-10-23Source linked

Agent skills for the Agentic SDLC: team lifecycle (team-boot, team-learn, team-init, team-repair), software factory, evals, CDR lifecycle with confidence scoring, and ADR/PDR/ChDR decision records. Works with Claude Code, Codex, OpenCode, Cursor, Copilot, and more.

No outside reports on file

Use this skill only on non-sensitive projects and verify that your AI assistant provider's data handling aligns with your company's policies, since it exchanges code and team information with external systems.

Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee.

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What it can access

  • Local filesNo local folder access notedLOW
  • Command executionNo shell command runner notedLOW
  • Network reachConnects to outside service APINOTED
  • CredentialsNo API token requiredLOW
  • Package sourceGitHub (tikalk/adlc-team-skills)PUBLIC

Inferred from this listing’s public package details and description. Check the project’s source before installing.

Install

No npm or PyPI package is listed. Install from source: github.com/tikalk/adlc-team-skills ↗

All setup options ↓

Everything known

We found nothing about this project in the sources we read (last checked 2026-10-30). That does not mean it has no problems.

0 incidents · 0 advisories · 0 news articles · 0 community threads · checked 2026-10-30

Popularity grade: C (from public signals such as stars and downloads, not a code review). Graded 2026-10-23.

Sources we read: OSV, GitHub Advisory Database, CISA Known Exploited Vulnerabilities, 44 security news feeds and our incident library. Last checked 2026-10-30.

Check a specific version →

About Adlc Team Skills

This is a collection of AI agent skills designed to help manage software development teams using an Agentic Software Development Lifecycle (SDLC) approach. It includes tools for team setup, learning, initialization, repairs, software factories, evaluations, and decision record management (ADR/PDR/ChDR). It's meant to work with multiple AI coding assistants like Claude, Copilot, and Cursor.

Who it’s for

Developers and teams using agentic (AI-powered) workflows who want structured tools for team lifecycle management and software decision-making. It's particularly for those already using or comfortable with Claude Code, Copilot, or similar AI coding assistants.

Alternatives

  • GitHub Copilot for Enterprises (GitHub's built-in team coding tools)
  • JetBrains AI Assistant (IDE-native AI code skills)
  • Manual ADR processes (lightweight decision records via markdown in git)
  • OpenAI Assistants API (custom AI workflows without pre-built team skills)

Setup

Check these steps against the project’s own instructions before running anything.

Follow the project's README for detailed setup instructions. The project is available at https://github.com/tikalk/adlc-team-skills (opens external site) and appears to be a Node.js or GitHub-based package, but exact installation steps are not clear from the description provided.

Why this grade

CC — Moderate risk signals

Signal-based grade (3/7 points): listed in several sources, public source code. This reflects adoption and transparency, not a code review.

Popularity and upkeep

38/100
GitHub stars
144
Listing last refreshed
2026-10-29

These are public popularity signals, not a maintenance check. Look at the repository’s commit history and open issues.

Risks to watch for

  • AI system access: Skills can integrate with multiple coding assistants, potentially exposing your code and development workflows to third-party AI platforms.
  • Decision record data: Stores architectural decisions and confidence scores that might reveal your team's technical strategy and priorities.
  • File and code injection: Malicious prompts in project files or decision records could trick the AI into executing unintended commands.
  • Team metadata leakage: Lifecycle tools may collect and process information about your team structure, learning patterns, and repair history.
  • Dependency trust: Relies on compatibility with external AI tools (Claude, Copilot, etc.) where you don't control the underlying model.

How to lower the risk

Least-privilege permissions

  • Run skills only on projects without secrets, API keys, or proprietary data.
  • Limit which team members can create or modify decision records.

Network isolation

  • Review what data the skill sends to external AI services before using it.
  • Consider air-gapping sensitive codebases from agentic tools.

Monitoring

  • Audit which files and repositories the skill accesses during runs.
  • Log all decision records and confidence scores created by the system.

Red flags to watch for

  • Unexplained changes to team initialization or repair workflows.
  • Decision records that don't match your team's actual discussions.
  • Skill requests for access to unrelated repositories or branches.

Questions

How do I install Adlc Team Skills?

Adlc Team Skills does not publish a standalone npm or PyPI package. Clone or follow the setup instructions in its source repository at github.com/tikalk/adlc-team-skills.

Are there security reports about Adlc Team Skills?

No reports found for this package in our research (last checked 2026-10-30). Adlc Team Skills currently holds Grade C (Moderate risk signals) based on public adoption and transparency signals. Key risk areas to watch include ai system access, decision record data, file and code injection.

Is Adlc Team Skills actively maintained?

Adlc Team Skills has 144 GitHub stars. Our directory data was last refreshed on 2026-10-29. Check recent commit activity, release tags, and open issues at github.com/tikalk/adlc-team-skills before pinning it in production.

What are alternatives to Adlc Team Skills?

Notable alternatives to Adlc Team Skills include GitHub Copilot for Enterprises, JetBrains AI Assistant, Manual ADR processes, OpenAI Assistants API. You can also compare Adlc Team Skills side by side with other skills in the Related tools section on this page.

README badge and team notes

Maintain or use Adlc Team Skills? Show its live grade in your GitHub README, docs site, or run a check from the terminal before you install.

AgentArmorHQ Risk Grade C for Adlc Team Skills

GitHub README Markdown:

markdown
[![AgentArmorHQ Risk Grade for Adlc Team Skills](https://agentarmorhq.com/api/badge/tikalk-adlc-team-skills)](https://agentarmorhq.com/skills/tikalk-adlc-team-skills)

HTML embed:

html
<a href="https://agentarmorhq.com/skills/tikalk-adlc-team-skills"><img src="https://agentarmorhq.com/api/badge/tikalk-adlc-team-skills" alt="AgentArmorHQ Risk Grade for Adlc Team Skills" height="20" /></a>

Terminal check:

terminal
curl -fsSL https://agentarmorhq.com/api/cli | node --input-type=module - check "tikalk-adlc-team-skills"

Share with your security lead

Need sign-off to use adlc-team-skills? Copy this note for Slack, a ticket or a pull request.

### AgentArmorHQ Security Review Memo: adlc-team-skills
- **Listing URL:** https://agentarmorhq.com/skills/tikalk-adlc-team-skills
- **Type:** AI agent skill
- **Risk Grade:** Grade C (Moderate risk signals)
- **Outside Security Advisories on File:** 0
- **Public Adoption:** 144 GitHub stars

#### Permission & Blast-Radius Signals
- **Local files:** No local folder access noted
- **Command execution:** No shell command runner noted
- **Network reach:** Connects to outside service API
- **Credentials:** No API token required
- **Package source:** GitHub (tikalk/adlc-team-skills)

#### Recommended Hardened Setup
- **Source Repo:** https://github.com/tikalk/adlc-team-skills
- **Controls:** Pin an exact version in `.mcp.json`, scope access to a single workspace folder, and use a least-privilege read-only token where supported.

_Based on public adoption and transparency signals as of Oct 23, 2026. Our opinion, not a code audit or security guarantee._

Key facts

Type
AI agent skill
Publisher
tikalk
Source code
github.com/tikalk/adlc-team-skills
Est. context load
~94 tokens idle · ~500 tokens when active (on-demand skill)
Popularity
144 GitHub stars
Last updated
2026-10-29
Last graded
2026-10-23

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