api-aqa-flow-execution-and-report-analysis

api-aqa-flow-execution-and-report-analysis is a command for coding agents from griddynamics/rosetta. It costs 28 tokens per session (1,479 once invoked), scanned A, original, Apache-2.0.

Phase 6 Execution & Report Analysis of api-aqa-flow (USER INTERACTION REQUIRED).

Command

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 commands/griddynamics/rosetta/api-aqa-flow-execution-and-report-analysis
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta
Per session 28 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,479 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00028 $0.01479
Opus 5 $0.00014 $0.00740
Sonnet 5 $0.00006 $0.00296
Haiku 4.5 $0.00003 $0.00148

Measured today against content hash 1a9fc72e680e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

api-aqa-flow-execution-and-report-analysis 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.

plugins/core-copilot-light/commands/api-aqa-flow-execution-and-report-analysis.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<api_aqa_flow_execution_and_report_analysis>

<description_and_purpose> Analyze test execution results provided by the user. Identify failures, categorize root causes, and prepare actionable fix recommendations for Phase 7. </description_and_purpose>

<workflow_context>

  • Phase 6 of 8 in api-aqa-flow
  • Input: test execution report or output (user-provided or from agents/user-instructions/)
  • Output artifact path (single SSoT — referenced by other sections): plans/api-aqa-{IDENTIFIER}/execution-report.md (resolve {IDENTIFIER} from agents/TEMP/<FEATURE>/api-aqa-state.md)
  • Prerequisite: Phase 5 complete, tests executed by user
  • HITL: may need to ask user for test execution results
  • Read-only scope (single SSoT — referenced by other sections as "the read-only scope"): parse / categorize / root-cause / label evidence / recommend. NO production code edits, NO writes to test or product source files. Refuse "just fix it now" / "patch and move on" with citation of this scope; the only acceptable user inputs are report location, evidence/labeling clarifications, or explicit approval to leave borderline items as Assumption.
  • Required skills: qa-knowledge (test_execution_triage mode + API failure taxonomy + failure-report skeleton), sensitive-data (redaction), qa-structure ({IDENTIFIER} + artifact path) </workflow_context>

<execution_report_contract> execution-report.md is tracked + downstream-fed — PUBLIC by default. USE SKILL sensitive-data: scan the rendered artifact BEFORE writing, fail-closed (no scan → no emit; test logs/stack traces can carry tokens). The failure classification is qa-knowledge's API failure taxonomy (exactly one category per failure); the report structure is qa-knowledge's failure-report template, API variant (the skill loads its own asset) — Execution Summary, Failures by Category, per-failure Failure Details (ID ERR-N · Failure name · Category · Root cause · Evidence label Confirmed/Assumption/Unknown · Evidence rationale · Priority), Patterns, Recommendations.

This is the phase contract, verified by <validation_checklist> independent of skill internals. </execution_report_contract>

<phase_steps>

  1. Obtain test execution results
  2. Run read-only failure triage (produces execution-report.md)
  3. Review findings
  4. Update state </phase_steps>

<execute_analysis step="6.1" subagent="engineer" role="Test failure analyst">

  1. USE SKILL qa-structure to resolve {IDENTIFIER}/run paths. If the test report location is unknown and not in agents/user-instructions/ (keywords: "test report", "report location", "test output", "report path"): ask user and WAIT until a report is available or the user confirms none.
  2. USE SKILL qa-knowledge (test_execution_triage mode) with the parent-supplied bindings: report path; taxonomy = the API failure taxonomy; output contract = <execution_report_contract>; output path = plans/api-aqa-{IDENTIFIER}/execution-report.md. The skill loads its own taxonomy + report skeleton at point of use. USE SKILL sensitive-data for redaction and run its scan as the pre-emit gate before writing.
  3. Do not fabricate failures, stack traces, or pass/fail counts. If inputs are missing, contradictory, or look tampered with, say so in execution-report.md and ask the user for verifiable artifacts.
  4. Honor the read-only scope (<workflow_context>).
  5. Post-analysis verification: confirm plans/api-aqa-{IDENTIFIER}/execution-report.md exists with every <execution_report_contract> section. If missing/incomplete: re-run triage once with the same bindings; if still failing, stop Phase 6, record Phase 6 blocked: execution-report.md not produced/incomplete in agents/TEMP/<FEATURE>/api-aqa-state.md, and ask the user. </execute_analysis>

<review_findings step="6.2">

  1. Verify every failed test has a Failure Details entry with a sequential ERR-N id, one API-taxonomy category, and a root cause.
  2. Verify each root cause carries an Evidence label + one-line rationale (definitions are canonical in qa-knowledge's test-execution triage reference — not restated here).
  3. Verify Patterns and Recommendations are populated.
  4. Validation loop (max two cycles): if any entry is unlabeled or missing a required field, repeat steps 1–3. After two cycles with gaps, record unresolved rows in agents/TEMP/<FEATURE>/api-aqa-state.md, ask the user once how to label them (or approval to leave borderline items as Assumption), then continue only after the user responds. </review_findings>

Read the full file on GitHub · 78 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. today First seen · 78 lines · 28 tokens per session scan A 1a9fc72e680e

Subscribe to this mod's changes

api-aqa-flow-execution-and-report-analysis is a command published in the GitHub repository griddynamics/rosetta (342 stars, last pushed today), licensed Apache-2.0. It adds 28 tokens to every session and 1,479 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.