api-aqa-flow-data-collection

api-aqa-flow-data-collection is a command for Claude Code from griddynamics/rosetta. It costs 18 tokens per session (2,694 once invoked), scanned A, original, Apache-2.0.

A first-stage workflow for collecting test cases, project documentation, and existing API test examples from connected systems and the codebase. It produces a raw data file for later API test automation.

In plain words
What is it for?
Use it to collect requirements from a test management system, search a project wiki, and find existing API testing patterns in the codebase.
Why use it?
It removes the need to gather testing information manually from multiple places before automation work begins. It also creates a shared baseline for the later workflow phases.

Command for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter. Also seen: mentions subagents.

Good fit Use it to collect requirements from a test management system, search a project wiki, and find existing API testing patterns in the codebase.

Compare 6 commands from other repositories ↓
Install with agentmods
npx agentmods add commands/griddynamics/rosetta/api-aqa-flow-data-collection
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/griddynamics/rosetta

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.

agentmods badge for api-aqa-flow-data-collection

README.md
[![agentmods](https://agentmods.dev/badge/commands/griddynamics/rosetta/api-aqa-flow-data-collection/github.svg)](https://agentmods.dev/commands/griddynamics/rosetta/api-aqa-flow-data-collection)
Your own site
<a href="https://agentmods.dev/commands/griddynamics/rosetta/api-aqa-flow-data-collection"><img src="https://agentmods.dev/badge/commands/griddynamics/rosetta/api-aqa-flow-data-collection/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 api-aqa-flow-data-collection

Your own site · 80×15
<a href="https://agentmods.dev/commands/griddynamics/rosetta/api-aqa-flow-data-collection"><img src="https://agentmods.dev/badge/commands/griddynamics/rosetta/api-aqa-flow-data-collection.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,694 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 $0.00018 $0.02694
Opus 5.5 $0.00007 $0.01078
Sonnet 5.5 $0.00004 $0.00539
Haiku 4.5 $0.00002 $0.00269

Measured 1mo ago against content hash 17f06a2e8e87, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

api-aqa-flow-data-collection 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 1mo 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.

plugins/core-copilot-light/commands/api-aqa-flow-data-collection.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<api_aqa_flow_data_collection>

<description_and_purpose> Gather test case details from the configured TMS, search the configured Wiki, and discover existing API test patterns in the codebase to establish baseline for automation. </description_and_purpose>

<workflow_context>

  • Phase 1 of 8 in api-aqa-flow
  • Input: project config + initial data from Phase 0
  • Output: plans/api-aqa-{IDENTIFIER}/raw-data.md with test cases, documentation, and existing test patterns
  • Prerequisite: Phase 0 complete, api-aqa-project-config.md and initial-data.md exist
  • Collection skill: data-collection (single canonical collector for TMS + Wiki sources) — this phase resolves each in-scope provider and passes its role + provider to the skill; the skill loads the role-named binding. Existing-test-pattern scan: qa-knowledge (code_analysis mode, via reverse-engineering). This phase OWNS the raw-data aggregation contract (<raw_data_contract>) — the skills EMIT into the sections this phase asserts.
  • Provider resolution (merge evidence; providers are NOT hardcoded). Providers were resolved in Phase 0 and recorded in api-aqa-project-config.md (tms_provider, wiki_provider + base URLs, prefilled from gain.json sdlc.*). Reconcile with explicit user names/handles (which win for this run), recognizable provider URLs (valid evidence when unambiguous), and available integrations. If evidence conflicts or remains ambiguous, ask only about the unresolved provider/input; never silently choose between conflicting systems.
  • Optional Wiki collection when in scope — signals in <config_binding>; procedure in <execute_collection> step 1.2b.
  • Required skills: data-collection (TMS + Wiki collector), qa-knowledge (code_analysis mode — existing-test + backend-source scan), reverse-engineering, qa-structure ({IDENTIFIER} + raw-data path) </workflow_context>

<config_binding> Wiki scope comes from api-aqa-project-config.md (Phase 0, prefilled from gain.json) plus run evidence per <workflow_context>. This phase OWNS the resolution + collection inline (step 1.2b) — there is no separate sub-flow.

  • In-scope signals ("is a Wiki in scope?"): wiki_provider holds a real provider (not none/N/A), wiki_base_url / Location is set, the user supplied Wiki pages/URLs, or gain.json sdlc.wiki names one — treat absent values as absent. The collection skill is ALWAYS data-collection with role Wiki + the resolved provider (Confluence is the canonical example; any Wiki backend maps the same way).
  • Raw-data heading (fixed): ## Documentation / Wiki under plans/api-aqa-{IDENTIFIER}/raw-data.md. Do not invent a different heading unless api-aqa-project-config.md explicitly instructs a rename (then write under the configured heading and note the mapping once). </config_binding>

<raw_data_contract> This phase owns the raw-data aggregation artifact plans/api-aqa-{IDENTIFIER}/raw-data.md and its sections — data-collection and qa-knowledge emit into these, they do not define them. Required sections (empty → N/A — <reason>, never blank):

  • Test Case Data — from data-collection (role TMS, resolved provider); ≥1 test-case source required.
  • Documentation / Wiki — from data-collection (role Wiki, resolved provider) via step 1.2b when scoped; else the SKIPPED_NO_CONFIG outcome row (per <wiki_outcomes>).
  • Existing Test Patterns — from qa-knowledge (code_analysis mode — test-automation architecture analysis, via reverse-engineering); framework, HTTP client, structure/assertion/auth conventions, reusable utilities. Record env-file path + variable names only, never literal values.
  • Backend Source Code Analysis — backend path from config or discoverable refsrc/ docs; framework, route patterns, key dirs (or N/A when no path).
  • API Endpoints Identified — every row has Method + Source populated; partial rows tagged as gaps.
  • Data Collection Summary — counts + gap notes; a delegated-skill stop is recorded verbatim as Gap: <skill> stopped — <message>, never fabricated over.

Read the full file on GitHub · 114 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. 1mo ago First seen · 114 lines · 18 tokens per session scan A 17f06a2e8e87

Subscribe to this mod's changes

api-aqa-flow-data-collection is a command published in the GitHub repository griddynamics/rosetta (362 stars, last pushed yesterday), licensed Apache-2.0. It adds 18 tokens to every session and 2,694 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.