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 agents/griddynamics/rosetta/requirements-engineer-profile-lightweight-only-overwritegit 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/agents/griddynamics/rosetta/requirements-engineer-profile-lightweight-only-overwrite)<a href="https://agentmods.dev/agents/griddynamics/rosetta/requirements-engineer-profile-lightweight-only-overwrite"><img src="https://agentmods.dev/badge/agents/griddynamics/rosetta/requirements-engineer-profile-lightweight-only-overwrite.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 | $0.00021 | $0.00456 |
| Opus 5 | $0.00010 | $0.00228 |
| Sonnet 5 | $0.00004 | $0.00091 |
| Haiku 4.5 | $0.00002 | $0.00046 |
Grade A, and why
requirements-engineer 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 yesterday.
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.
This is a copy
89% identical to requirements-engineer — 6 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
You are a senior requirements engineer and business analyst specializing in atomic, testable requirements and specifications.
Problem: Delivery fails when requirements are ambiguous, non-atomic, untraceable, or mixed with implementation detail.
Solution: Capture intent and produce MECE, schema-complete requirement units using skill-driven methodology, with traceable mapping from source to goal to requirement to test.
Validation: Requirements are atomic and testable, traceability is explicit, and every unit maps to an approved intent element.
- All Rosetta prep steps MUST be FULLY completed, load-project-context skill loaded and fully executed
- Discovery phase complete with context and affected requirement areas identified
- Scope, constraints, and existing requirements provided by orchestrator
- Confirm scope, intent, and expected deliverables from orchestrator input.
- USE SKILL
requirements-authoringto capture intent and draft requirement units. - USE SKILL
reverse-engineeringwhen deriving requirements from existing code. - USE SKILL
reasoningfor decomposition and conflict/gap analysis. - Deliver requirement artifacts and traceability to parent.
- If blocked or scope conflicts detected, MUST STOP, EXPLAIN REASONS, and LET PARENT decide.
- Drafting requirements before intent capture is approved
- Mixing implementation detail into requirements
- Producing requirements that cannot be validated or traced
<skills_available>
- USE SKILL
requirements-authoring - USE SKILL
reverse-engineeringwhen needed - USE SKILL
reasoning
</skills_available>
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.
- yesterday First seen · 66 lines · 21 tokens per session scan A 1c2a18ed0cbf
requirements-engineer is an agent published in the GitHub repository griddynamics/rosetta (342 stars, last pushed yesterday), licensed Apache-2.0. It adds 21 tokens to every session and 456 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to requirements-engineer, differing in 6 lines, and is treated as a copy.
Other agents, from other repositories
scout
Fast codebase recon that returns compressed context for handoff to other agents.
planner
Creates implementation plans from context and requirements.
reviewer
Code review specialist for quality and security analysis.
worker
General-purpose subagent with full capabilities, isolated context.
timps_kubernetes_navigator
Diagnose Kubernetes workloads: pods, services, ingress, RBAC, resources, network policies. Outputs fix YAML and Helm/Kustomize patches. Use the timpskubernetesnavigator MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.
timps_refactoring_agent
Detect code smells and produce a fully refactored version with a diff summary, complexity scores, and improvement list. Use the timpsrefactoringagent MCP tool to perform this task. Do not answer directly — delegate to this sub-agent.