Agentic Dev Team

Two Claude Code plugins for engineering workflows. Install one or both.

• agentic-dev-team gives Claude Code a full persona-driven development team: an Orchestrator that routes tasks, specialist agents (engineer, QA, architect, reviewers…), skills that encode reusable knowledge, and the four-command feature workflow /specs → /plan → /build → /pr.
• agentic-security-assessment is the security companion. It adds a deterministic-first /security-assessment pipeline (SAST + LLM judgment + FP-reduction + exec report), a /cross-repo-analysis command for multi-repo attack chains, and an adversarial ML red-team harness (/redteam-model) for self-owned model endpoints.

The two plugins share a primitives contract (codebase-recon, ACCEPTED-RISKS.md, unified finding envelope) that lives in agentic-dev-team. Install that plugin first; add the security companion when you need it.

Plugins

Plugin	What it does	Key commands	Install
agentic-dev-team	Persona-driven development team, reviewer swarm, TDD-gated build loop	/specs, /plan, /build, /pr, /code-review, /triage	plugins/agentic-dev-team/README.md
agentic-security-assessment	Tool-first security assessment + red-team pipeline	/security-assessment, /cross-repo-analysis, /redteam-model, /export-pdf	plugins/agentic-security-assessment/README.md

First time here? Start with agentic-dev-team. Add agentic-security-assessment only when you run full /security-assessment pipelines against target repos.

Quick Start

Requires Claude Code, jq, and gh (GitHub CLI). See full prerequisites.

claude plugin marketplace add https://github.com/bdfinst/agentic-dev-team
claude plugin install agentic-dev-team@bfinster

Then open Claude Code in your project and initialize:

/setup

/setup detects your stack and generates project-level config and hooks. After that, run /specs to start a feature, or ask a question and let the Orchestrator route it.

Getting Started

Prerequisites

agentic-dev-team requires jq and gh (GitHub CLI). agentic-security-assessment additionally requires Python ≥ 3.10 and a tier-1 static-analysis toolchain. Full details: agentic-dev-team prerequisites · agentic-security-assessment prerequisites.

Install agentic-dev-team

Start here. Most users install only this plugin.

# From this marketplace (recommended)
claude plugin marketplace add bdfinst/agentic-dev-team
claude plugin install agentic-dev-team@bfinster
# or
claude plugin install --scope project agentic-dev-team@bfinster

# From a local clone (for plugin development)
claude plugin install --scope project /path/to/agentic-dev-team/plugins/agentic-dev-team

For Azure DevOps or another git host, see Marketplace sources in the plugin README.

Install agentic-security-assessment (optional)

Add this plugin only if you want the /security-assessment pipeline. Install agentic-dev-team first.

claude plugin install agentic-security-assessment@bfinster
# Or from a local clone:
claude plugin install --scope project /path/to/agentic-dev-team/plugins/agentic-security-assessment

Then install the tier-1 static-analysis tools:

# macOS
./plugins/agentic-security-assessment/install-macos.sh           # tier-1 only
./plugins/agentic-security-assessment/install-macos.sh --all     # tier-1 + optional + PDF deps
./plugins/agentic-security-assessment/install-macos.sh --dry-run # preview without running

# Windows (requires Scoop)
.\plugins\agentic-security-assessment\install-windows.ps1

Verify: ./plugins/agentic-security-assessment/install.sh

Dev team workflow

Four commands drive feature development from idea to pull request:

/specs  →  /plan  →  /build  →  /pr

Step	Command	What it does
1. Specify	/specs	Produce Intent, BDD/Gherkin scenarios, Architecture notes, Acceptance Criteria. A consistency gate must pass before moving on. Skip for bug fixes, refactors, or trivial changes.
2. Plan	/plan	Create a TDD step-plan. Four plan-review personas (Acceptance Test, Design, UX, Strategic critics) challenge the plan before the human sees it. Human approves before any code is written.
3. Build	/build	Execute the approved plan. Each step follows RED-GREEN-REFACTOR with inline review checkpoints (spec-compliance first, then quality agents). Produces verification evidence.
4. Ship	/pr	Run quality gates (tests, typecheck, lint, code review) and open a pull request.

Each step produces artifacts the next step consumes. Human review gates sit between transitions.

For bug fixes or simple tasks, skip /specs and start at /plan — or go straight to implementation.

Supporting commands

Command	When to use
/code-review	Run review agents, auto-fix actionable issues, re-run until clean (up to 5 iterations)
/continue	Resume an in-progress build or plan across sessions
/browse	Visual QA via Playwright
/benchmark	Runtime performance metrics (Core Web Vitals, resource sizes) against baselines
/careful / /freeze / /guard	Safety modes for production-critical sessions
/triage	Investigate a bug and file a GitHub issue with a TDD fix plan

Automated pre-commit review

Every git commit is automatically gated by /code-review. A PreToolUse hook detects commit attempts and blocks them until a passing review exists for the exact set of staged files.

Flow: attempt commit → hook blocks → Claude runs /code-review → if pass/warn, a .review-passed gate file is written → next commit attempt succeeds.

Bypass: git commit --no-verify skips the review gate.

Security assessment pipeline

/security-assessment <path> runs a six-phase pipeline against one or more target repos. Deterministic tools do the detection; LLM agents handle the judgment stages.

Phase	Runs	Output
0. Recon	codebase-recon agent	memory/recon-<slug>.{json,md}
1. Tool-first detection	semgrep, gitleaks, trivy, hadolint, actionlint, custom rulesets	unified findings stream
1b. Judgment	security-review, business-logic-domain-review agents	appended findings
1c. Suppression	ACCEPTED-RISKS.md gate (deterministic)	filtered stream + audit log
2. FP-reduction	5-stage rubric (reachability, environment, controls, dedup, severity)	disposition register
2b. Severity floors	deterministic domain-class calibration	floor-adjusted scores
3. Narrative + compliance	tool-finding-narrative-annotator, compliance-mapping skill	4-domain narrative + compliance JSON
4. Cross-repo	service-comm parser, shared-cred hash match (multi-target only)	mermaid diagram + SARIF
5. Exec report	exec-report-generator agent	publication-ready 7-section markdown

Zero-install flow: scripts/run-assessment-local.sh runs the same pipeline from the repo checkout without installing the plugin. Auto-detects the claude CLI; degrades to deterministic-only when absent. See the user guide for the full runbook.

Adversarial ML red-team: /redteam-model probes a self-owned model endpoint (localhost / RFC1918 by default; public targets require a signed authorization.md). Eight probes covering recon, evasion, extraction, and report synthesis.

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Local development

Testing locally

Install either plugin from the local path into a test project:

claude plugin install --scope project /path/to/agentic-dev-team/plugins/agentic-dev-team
claude plugin install --scope project /path/to/agentic-dev-team/plugins/agentic-security-assessment

Testing agents and hooks (dev-team plugin)

/agent-eval                                                # full eval suite
/agent-eval plugins/agentic-dev-team/agents/naming-review.md   # one agent
/agent-audit                                               # structural compliance

Comparative-testing harness (security plugin)

Regression-test the /security-assessment pipeline against a seeded fixture + reference baseline:

python3 evals/comparative/score.py \
  --reference evals/comparative/reference-baseline/2026-04-21 \
  --ours memory

See docs/comparative-testing.md for the scoring methodology.

Adding an agent or skill

/agent-add <description or URL to a coding standard>

This scaffolds the agent file, adds it to the registry, and creates eval fixtures. Run /agent-audit and /agent-eval to verify compliance.

Documentation

Guide	Description
Tutorial: Invoking Agents	Hands-on tutorial: invoke agents, skills, and common workflows
Architecture	Context management, quality assurance, governance, multi-LLM routing
Agents	Agent roster, persona template, adding/removing/customizing
Skills & Commands	Skills catalog, slash-commands catalog
Eval System	How review-agent accuracy is measured and graded
Security Assessment User Guide	Path-A (plugin) vs. Path-B (zero-install) runbook, tool install matrix
Comparative Testing	Fixture repo, ground truth, scoring methodology

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