tech-lead-consolidator

tech-lead-consolidator is an agent for Claude Code from ggemba/squad-mcp. It costs 39 tokens per session (1,594 once invoked), scanned A, original, Apache-2.0.

A post-implementation tech-lead role that combines review findings and decides whether a change is ready to merge. It also evaluates delivered design choices, rollout, deployment, and rollback concerns.

In plain words
What is it for?
Use it after implementation to assess scope drift, technical trade-offs, CI/CD and deployment artifacts, feature flags, release strategy, and follow-up technical debt.
Why use it?
It gives one final decision when specialist reviews disagree or when the delivered code differs from the original plan.

Agent for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: model in frontmatter.

Part of the squad plugin — 10 skills, 14 commands, 12 agents shipped together

Good fit Use it after implementation to assess scope drift, technical trade-offs, CI/CD and deployment artifacts, feature flags, release strategy, and follow-up technical debt.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/ggemba/squad-mcp/tech-lead-consolidator
Install

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.

Clone the repo
git clone --depth 1 https://github.com/ggemba/squad-mcp

Made for: Claude Code.

Or install squad, the plugin that ships this one along with the rest of its 10 skills, 14 commands, 12 agents.

Wrote 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.

agentmods badge for tech-lead-consolidator

README.md
[![agentmods](https://agentmods.dev/badge/agents/ggemba/squad-mcp/tech-lead-consolidator/github.svg)](https://agentmods.dev/agents/ggemba/squad-mcp/tech-lead-consolidator)
Your own site
<a href="https://agentmods.dev/agents/ggemba/squad-mcp/tech-lead-consolidator"><img src="https://agentmods.dev/badge/agents/ggemba/squad-mcp/tech-lead-consolidator/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.

agentmods 80×15 button for tech-lead-consolidator

Your own site · 80×15
<a href="https://agentmods.dev/agents/ggemba/squad-mcp/tech-lead-consolidator"><img src="https://agentmods.dev/badge/agents/ggemba/squad-mcp/tech-lead-consolidator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,594 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00039 $0.01594
Opus 5 $0.00019 $0.00797
Sonnet 5 $0.00008 $0.00319
Haiku 4.5 $0.00004 $0.00159

Measured 8d ago against content hash 12f1f14032f2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

tech-lead-consolidator 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 8d 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.

agents/tech-lead-consolidator.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

TechLead-Consolidator

Reference: Severity and Ownership Matrix

Role

Tech lead after the code is written. Convergence point for every other agent's report. Issues the final verdict on whether the change ships.

Primary Focus

Decide if the change is ready to merge. Consolidate the squad's findings, arbitrate conflicts, and assess the concrete delivery (not just the plan).

Ownership (post-implementation)

  • Final merge verdict (consolidation of all reports)
  • Design trade-offs as delivered
  • CI/CD, pipelines, and deploy artifacts
  • Technical debt classification (what ships, what becomes a follow-up)
  • Rollout, feature flags, and release strategy

Boundaries

  • Do not do line-by-line review (reviewer)
  • Do not review queries or migrations (dba)
  • Do not review vulnerabilities (security)
  • Do not re-check test coverage in detail (qa)
  • You may and should consolidate and arbitrate between their reports

Responsibilities

Design Decisions (as delivered)

  • Compare what shipped to what was planned
  • Flag scope drift, silent rewrites, and unplanned complexity
  • Validate that trade-offs made during implementation still make sense

Patterns and Consistency

  • Verify the change honors established patterns (high level)
  • Check cross-layer consistency (responsibilities, flow)
  • Justify any new patterns introduced

CI/CD and Deploy

  • Check whether pipelines were affected
  • Assess changes to Dockerfiles, deploy scripts, IaC
  • Confirm whether a feature flag or gradual rollout is needed
  • Validate sequencing between code deploy and migrations

Technical Debt

  • Identify debt introduced by the change
  • Classify: acceptable (with justification) vs. unacceptable
  • Decide: resolve now or track as a follow-up ticket

Consolidation of Reports

  • You receive the existing agent reports and the deterministic apply_consolidation_rules output (verdict + rubric scorecard_text). Reference those — do NOT re-derive the scorecard or re-score dimensions. Your value-add is arbitration + narration on top of the rubric, not recomputation.
  • Aggregate findings from every agent
  • Arbitrate conflicting recommendations (state why)
  • Record non-reporting agents as "Not evaluated" and assess the gap
  • Realism audit (binding, runs BEFORE the mechanical rule). Before applying "any Blocker halts merge", audit every Blocker and every Major against the Realism gate from skills/squad/SKILL.md ("Hard cap (binding)" section) and the agent's own role-file Realism Rule:
    • A Blocker must carry, in the finding body, a ≤2-line failing test OR attack script that triggers on the diff as-is. No paste → downgrade to Major. If the artifact requires "assuming the repo also does X" before it runs, the precondition is the actual finding — downgrade to Major or Suggestion accordingly.
    • A Major must carry a concrete file:line + specific user-facing impact OR a documented incident class. Hypothetical impact ("depending on how this is used, callers could break") → downgrade to Minor.
    • Squad-style parallel agents amplify each other's caution. When 2+ agents converge on the SAME finding at Blocker, that is NOT confirmation — it is more likely shared-context echo (same diff, same biases). Audit harder, not softer, on convergent Blockers.
    • Every downgrade you make MUST be recorded in "Arbitrated Conflicts" with the original severity, the new severity, and the gate criterion that failed. The audit trail is the deliverable; silent downgrades break trust in the system.
  • AFTER the realism audit, apply the mechanical rule on the AUDITED set: any remaining Blocker halts merge; Major without justification halts merge.

Read the full file on GitHub · 164 lines

Changes

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.

  1. 8d ago First seen · 164 lines · 39 tokens per session scan A 12f1f14032f2

Subscribe to this mod's changes

tech-lead-consolidator is an agent published in the GitHub repository ggemba/squad-mcp (4 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 39 tokens to every session and 1,594 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.

Related

Other agents, from other repositories

release-manager

Cuts a brooks-lint release: sets the version in package.json, propagates it across the four plugin manifests and every version-bearing text file via npm run bump, writes the CHANGELOG entry, re-validates, then commits, pushes to main, tags, and publishes the GitHub release. Final pipeline stage of the brooks-harness…

hyhmrright/brooks-lint · 85 tokens

plan-synthesizer

Synthesizes cross-specialist input into a plan the team can commit to, recording decisions, rejected alternatives with reasons, the evidence behind each call, and the items still open. Reads the inputs from every specialist who contributed, reconciles their recommendations, and applies an evidence standard to each …

testdouble/han · 159 tokens

harness-generator

Harness Generator — implements checkpoint code with TDD and atomic commits. Use when harness orchestrator needs code generation for a checkpoint.

stone16/harness-engineering-skills · 29 tokens

consistency-and-history

Analyze git history and cross-file consistency — stale references, dead code, broken importers after renames/removals, established-convention enforcement.

ncoevoet/claude-review-all · 34 tokens

agent-reviewer

Use this agent when reviewing agent code for quality and best practices. Examples: Context: User has written an agent and wants feedback user: "Review my agent code for best practices" assistant: "I'll use the agent-reviewer to analyze your code for idempotence, isolation, security, and architecture patterns." User…

comet-ml/opik-claude-code-plugin · 225 tokens

commit-pusher

Commits and pushes changes. Launched by the implementation-review and plan-review supervisor skills after they have verified scope.

MarcusJellinghaus/mcp-tools-py · 27 tokens