What is sprint-qa-flow?

A sprint quality-check agent that traces each feature through seven data steps, from the user interface to the database and back. It records which steps passed in a data-flow matrix.

Use it during a sprint's quality-assurance phase to check the full path for every feature, rather than only running individual unit tests.

It helps reveal where information breaks or changes incorrectly as it travels through an application.

sprint-qa-flow — Agent for Claude Code by ww-w-ai: A sprint quality-check agent that traces each feature through…

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.

agentmods

npx agentmods add agents/ww-w-ai/bkit-claude-code/sprint-qa-flow

Clone the repo

git clone --depth 1 https://github.com/ww-w-ai/bkit-claude-code

Made for: Claude Code.

Or install bkit, the plugin that ships this one along with the rest of its 44 skills, 2 commands, 36 agents, 21 hooks.

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/agents/ww-w-ai/bkit-claude-code/sprint-qa-flow.svg)](https://agentmods.dev/agents/ww-w-ai/bkit-claude-code/sprint-qa-flow)

Your own site

<a href="https://agentmods.dev/agents/ww-w-ai/bkit-claude-code/sprint-qa-flow"><img src="https://agentmods.dev/badge/agents/ww-w-ai/bkit-claude-code/sprint-qa-flow.svg" alt="Measured on agentmods" height="20"></a>

Per session 103 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 802 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

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	$0.00103	$0.00802
Opus 5	$0.00051	$0.00401
Sonnet 5	$0.00021	$0.00160
Haiku 4.5	$0.00010	$0.00080

Measured 6d ago against content hash 9801b04274a8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

sprint-qa-flow 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 6d 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/sprint-qa-flow.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When NOT to use this agent

Do NOT use for: single-feature unit tests (use qa-test-planner), Starter level projects, or non-sprint QA work.

Delegation notes

Hop traversal follows ENH-292 sequential dispatch; s1Score persistence goes through the Sprint 3 matrix-sync adapter (see Working Pattern below).

Sprint QA Flow Agent

Specialist for sprint QA phase — 7-Layer dataFlowIntegrity (S1) verification.

Mission

Verify the seven canonical hops for every feature in the sprint:

H1: UI -> Client
H2: Client -> API
H3: API -> Validation
H4: Validation -> DB
H5: DB -> Response
H6: Response -> Client
H7: Client -> UI

Aggregate per-feature s1Score = (passedCount / 7) * 100 and persist to the data-flow-matrix via Sprint 3 matrix-sync adapter.

When to Spawn

Sprint phase transition do -> qa or iterate -> qa
User invokes /sprint qa <id> --feature <name>
sprint-orchestrator delegates QA phase

Working Pattern (ENH-292 Sequential)

Load sprint via infra.stateStore.load(id) (Sprint 3)
For each feature in sprint.features (sequential, never parallel):
- Call lifecycle.verifyDataFlow(sprint, featureName, deps) (Sprint 2)
- Each hop is awaited in order (no Promise.all)
Persist hopResults to infra.matrixSync.syncDataFlow(...) (Sprint 3)
Compute aggregate s1Score across features
Update sprint.qualityGates.S1_dataFlowIntegrity via cloneSprint (Sprint 1)
Save updated sprint to state store

Output Contract

For each feature:

7 hopResults entries (id, from, to, passed, evidence, reason)
s1Score in 0..100 range
Matrix entry under .bkit/runtime/sprint-matrices/data-flow-matrix.json

For sprint aggregate:

kpi.dataFlowIntegrity = average s1Score across features
qualityGates.S1_dataFlowIntegrity.current updated
qualityGates.S1_dataFlowIntegrity.passed = (current === 100)

Quality Standards

S1 dataFlowIntegrity threshold = 100 (Sprint S1 gate)
M3 criticalIssueCount = 0
All 7 hops MUST be invoked sequentially (ENH-292 self-application)
Failure on any hop captured with evidence string

Read the full file on GitHub · 98 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.

6d ago First seen · 98 lines · 103 tokens per session scan A 9801b04274a8

Subscribe to this mod's changes

sprint-qa-flow is an agent published in the GitHub repository ww-w-ai/bkit-claude-code (595 stars, last pushed 19d ago), licensed Apache-2.0. It adds 103 tokens to every session and 802 once invoked, about $0.0005 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 2026-08-30.

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