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.
npx agentmods add commands/griddynamics/rosetta/api-aqa-flow-data-collectiongit clone --depth 1 https://github.com/griddynamics/rosettaWrote 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.
[](https://agentmods.dev/commands/griddynamics/rosetta/api-aqa-flow-data-collection)<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="Measured on agentmods" height="20"></a>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 | $0.00018 | $0.02694 |
| Opus 5 | $0.00009 | $0.01347 |
| Sonnet 5 | $0.00004 | $0.00539 |
| Haiku 4.5 | $0.00002 | $0.00269 |
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 today.
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.
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.mdwith test cases, documentation, and existing test patterns - Prerequisite: Phase 0 complete,
api-aqa-project-config.mdandinitial-data.mdexist - 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_analysismode, viareverse-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 fromgain.jsonsdlc.*). 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_analysismode — 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_providerholds a real provider (notnone/N/A),wiki_base_url/ Location is set, the user supplied Wiki pages/URLs, orgain.jsonsdlc.wikinames one — treat absent values as absent. The collection skill is ALWAYSdata-collectionwith roleWiki+ the resolved provider (Confluence is the canonical example; any Wiki backend maps the same way). - Raw-data heading (fixed):
## Documentation / Wikiunderplans/api-aqa-{IDENTIFIER}/raw-data.md. Do not invent a different heading unlessapi-aqa-project-config.mdexplicitly 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(roleTMS, resolved provider); ≥1 test-case source required. - Documentation / Wiki — from
data-collection(roleWiki, resolved provider) via step 1.2b when scoped; else theSKIPPED_NO_CONFIGoutcome row (per<wiki_outcomes>). - Existing Test Patterns — from
qa-knowledge(code_analysismode — test-automation architecture analysis, viareverse-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 (orN/Awhen 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.
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.
- today First seen · 114 lines · 18 tokens per session scan A 17f06a2e8e87
api-aqa-flow-data-collection is a command published in the GitHub repository griddynamics/rosetta (342 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 2,694 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 2026-09-03.
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