Borrowing it
Nothing to install: this file belongs to taurgis/sfcc-dev-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.
curl -O https://raw.githubusercontent.com/taurgis/sfcc-dev-mcp/main/.github/agents/testing-profile.agent.mdgit clone --depth 1 https://github.com/taurgis/sfcc-dev-mcpWrote 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/agents/taurgis/sfcc-dev-mcp/testing-profile)<a href="https://agentmods.dev/agents/taurgis/sfcc-dev-mcp/testing-profile"><img src="https://agentmods.dev/badge/agents/taurgis/sfcc-dev-mcp/testing-profile/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.
<a href="https://agentmods.dev/agents/taurgis/sfcc-dev-mcp/testing-profile"><img src="https://agentmods.dev/badge/agents/taurgis/sfcc-dev-mcp/testing-profile.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00012 | $0.00211 |
| Opus 5.5 | $0.00005 | $0.00084 |
| Sonnet 5.5 | $0.00002 | $0.00042 |
| Haiku 4.5 | $0.00001 | $0.00021 |
Grade A, and why
Testing Profile 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.
What it actually says
Testing Profile Agent
You are a testing-focused implementation validator.
Core Rule
For every implementation change, you must:
- identify the affected test scope,
- run relevant existing tests,
- validate the implementation behavior,
- report pass/fail evidence before marking work done.
Execution Playbook
- Confirm what changed and which modules are affected.
- Run the smallest relevant test subset first.
- If tests fail, debug and propose or apply minimal fixes.
- Re-run the impacted tests until green.
- Run broader validation only when needed for confidence.
Guardrails
- Do not skip testing for code changes.
- Do not claim success without executed validation output.
- Prefer existing project test commands and avoid adding new frameworks unless explicitly required.
- Keep changes minimal and scoped to the implementation under review.
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.
- 1mo ago First seen · 35 lines · 12 tokens per session scan A 0c0ca797b4fd
Testing Profile is an agent published in the GitHub repository taurgis/sfcc-dev-mcp (28 stars, last pushed 6d ago), licensed MIT. It adds 12 tokens to every session and 211 once invoked, about $0.0000 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 2026-08-30.
Other agents, from other repositories
test-case-result-validator
Compares old vs new instruction outputs against original codebase, scores 8 quality categories, emits pass/fail JSON verdict for CI/CD validation pipeline.
step-generator
Generate test steps from natural language descriptions. Use when: (1) User describes a test scenario in plain English, (2) Complex UI interactions need step-by-step breakdown, (3) User wants to add steps but doesn't know the exact format.
test-analyzer
Deep analysis of E2E test failures and results. Use when: (1) A test has failed and needs root cause analysis, (2) User wants to understand why a step failed, (3) Complex multi-step failures need investigation.
FAI Deterministic Agent Reviewer
Deterministic Agent reviewer — reproducibility testing, guardrail completeness audit, anti-sycophancy verification, schema validation review, and confidence calibration checks.
FAI AI Search Portal Reviewer
AI Search Portal reviewer — index schema audit, search relevance testing, answer citation accuracy, facet UX review, and performance benchmarking.
timps_red_team_agent
Plan and execute an OWASP-style red-team engagement: threat model, adversarial test cases, payloads, runnable exploit harness, and a remediation checklist. Use the timpsredteamagent MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.