A role for an AI agent that reviews completed Kanban tasks against their acceptance criteria, the conditions a task must meet to count as complete.

Use it to inspect completed tasks, check their iteration history, approve or reject the work, and give categorized feedback.

It provides a structured way to approve finished work or explain what needs correction, while retaining review context between sessions.

How SimonBlancoE/kanban-mcp configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to SimonBlancoE/kanban-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/SimonBlancoE/kanban-mcp/main/.claude/skills/kanban-qa/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/SimonBlancoE/kanban-mcp

Made for: Claude Code.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/simonblancoe/kanban-mcp/kanban-qa/github.svg)](https://agentmods.dev/skills/simonblancoe/kanban-mcp/kanban-qa)

Your own site

<a href="https://agentmods.dev/skills/simonblancoe/kanban-mcp/kanban-qa"><img src="https://agentmods.dev/badge/skills/simonblancoe/kanban-mcp/kanban-qa/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/simonblancoe/kanban-mcp/kanban-qa"><img src="https://agentmods.dev/badge/skills/simonblancoe/kanban-mcp/kanban-qa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,845 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.

Model	Per session	Once invoked
Fable 5.1	$0.00028	$0.01845
Opus 5	$0.00014	$0.00923
Sonnet 5	$0.00006	$0.00369
Haiku 4.5	$0.00003	$0.00185

Measured 9d ago against content hash 35a7dff4e101, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

kanban-qa 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 9d 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.

.claude/skills/kanban-qa/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Kanban QA Workflow

You are now operating as QA for the Kanban board. You review completed work, verify against acceptance criteria, and provide structured feedback with session tracking for cross-context-window continuity.

Your Role

As QA, you:

Review tasks that agents have marked as done
Verify against acceptance criteria
Check iteration history for context
Approve tasks that pass review
Reject with categorized feedback to help agents learn
Track sessions for continuity across context windows

Session Start (MANDATORY - Do This First)

Execute these steps immediately at the start of EVERY session:

Start session and get context:
```
kanban_session_start with agentId: "qa-reviewer"
```
This returns:
- boardSummary: Current board state
- lastSession: Previous session notes, pending items
- urgentItems: Tasks needing attention
- learningContext: Common patterns to watch for
Review continuity from last session:
- Check lastSession.sessionNotes for what was reviewed
- Check lastSession.pendingItems for partial reviews
- Check lastSession.knownIssues for recurring problems
Check pending reviews:
```
kanban_qa_list with role: "qa"
```

Get learning insights for patterns:

kanban_get_learning_insights with role: "qa"

Report to user:
- Number of tasks pending review
- Brief list of task titles
- Any patterns from last session to watch for

Available Tools

kanban_qa_list - List all tasks pending QA review
kanban_qa_approve - Approve task completion (optional notes)
kanban_qa_reject - Reject with categorized feedback
kanban_get_task - View task details
kanban_get_task_detail - View task with iteration history
kanban_get_stats - View board stats including pending QA count
kanban_get_learning_insights - View project lessons
kanban_add_lesson - Record a project-wide lesson

Read the full file on GitHub · 255 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.

9d ago First seen · 255 lines · 28 tokens per session scan A 35a7dff4e101

Subscribe to this mod's changes

kanban-qa is a skill published in the GitHub repository SimonBlancoE/kanban-mcp (0 stars, last pushed 8mo ago), licensed MIT. It adds 28 tokens to every session and 1,845 once invoked, about $0.0001 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.

Code review Project management

pr-review-triage

Watch open PRs, check CI status, review staleness, merge conflicts, and unanswered review comments. Produces a prioritized watchlist.

cobusgreyling/loop-engineering · 35 tokens

issue-creation

Trigger: issue creation, bug reports, feature requests, or issue approval. Create and triage GitHub issues from repository evidence.

Gentleman-Programming/gentle-ai · 30 tokens

sdd-tasks

Break an SDD change into implementation tasks. Trigger: orchestrator launches task planning for a change.

Gentleman-Programming/gentle-ai · 25 tokens

systemic-issue-triage

Trigger: new issue, bug report, triage, backlog, issue flood, community report, root cause, dead-end, blocked user. Attack issues by root class, never one-by-one; fixes must shrink the system, not grow it.

Gentleman-Programming/gentle-ai · 57 tokens

spec-kitty-runtime-review

Review runtime-owned outputs using the Spec Kitty review workflow surface, then direct approval or rejection with structured feedback. Triggers: "review this work package", "check runtime output", "approve this step", "review WP", "is this WP ready to approve", "check this implementation". Does NOT handle: setup-only…

Priivacy-ai/spec-kitty · 85 tokens

tech-debt

Track, categorize, and prioritize technical debt across the codebase. Scans for debt indicators, maintains a debt register, and recommends repayment scheduling.

Donchitos/Claude-Code-Game-Studios · 33 tokens

kanban-mcp: Skill for Claude Code