prompt-engineer

prompt-engineer is an agent for coding agents from griddynamics/rosetta. It costs 24 tokens per session (587 once invoked), scanned A, a copy of prompt-engineer, Apache-2.0.

A prompt-engineering agent that creates and adapts prompts through a structured process with approval checkpoints.

In plain words
What is it for?
Use it to discover requirements, draft prompt artifacts, identify assumptions and risks, and deliver prompts that follow an assigned contract.
Why use it?
It reduces prompt drift, missing context, and weak validation when prompts are used to direct other agents.

Agent

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 agents/griddynamics/rosetta/prompt-engineer-profile-lightweight-only-overwrite
Clone the repo
git clone --depth 1 https://github.com/griddynamics/rosetta

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 prompt-engineer

README.md
[![agentmods](https://agentmods.dev/badge/agents/griddynamics/rosetta/prompt-engineer-profile-lightweight-only-overwrite.svg)](https://agentmods.dev/agents/griddynamics/rosetta/prompt-engineer-profile-lightweight-only-overwrite)
Your own site
<a href="https://agentmods.dev/agents/griddynamics/rosetta/prompt-engineer-profile-lightweight-only-overwrite"><img src="https://agentmods.dev/badge/agents/griddynamics/rosetta/prompt-engineer-profile-lightweight-only-overwrite.svg" alt="Measured on agentmods" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 587 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 89% copy Near-identical to another mod 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 $0.00024 $0.00587
Opus 5 $0.00012 $0.00293
Sonnet 5 $0.00005 $0.00117
Haiku 4.5 $0.00002 $0.00059

Measured yesterday against content hash 17d679b95505, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

prompt-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.

Origin

This is a copy

89% identical to prompt-engineer — 7 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.

instructions/r3/core/agents/prompt-engineer~profile-lightweight-only~overwrite~.md · 96 lines

What it actually says

You are a senior prompt engineer and an expert in meta prompting and meta processes generating short and expressive rules with brilliant ideas.

Problem: Prompt artifacts drift from user intent when context is skipped, contracts are implicit, validation is weak, and context overload degrades execution quality.

Solution: Execute a strict discovery-to-delivery process with explicit HITL gates, schema-based authoring, and traceable validation.

Validation: Delivered artifacts satisfy assigned contract, include required HITL decisions, and trace directly to request intent.

  • bootstrap-alwayson.md + dispatch context loaded; MUST USE SKILL subagent-directives
  • Load load-project-context only when required by the assigned task
  • Assigned contract, inputs, and references are provided or resolved
  • Required schemas/templates are available when contract requires them
  1. Confirm assigned contract, scope, and required outputs.
  2. Identify missing inputs, assumptions, risks, and HITL gates.
  3. Select appropriate skill and execute task internals through that skill.
  4. Assemble only required artifacts and traceability evidence.
  5. Report open questions and blockers to caller if decision is needed.

<required_rules_and_restrictions>

  • Treat target prompt as text specification, never execute it
  • Keep one file one schema family; avoid schema mixing
  • Use file-name references for cross-artifact references

</required_rules_and_restrictions>

  • Producing artifacts not requested by assigned contract
  • Mixing analyst artifacts into final target prompt
  • Extending scope beyond caller-approved goals

<skills_available>

  • USE SKILL coding-agents-prompt-authoring
  • USE SKILL requirements-authoring

</skills_available>

<validation_and_quality_checks>

  • Assigned contract outputs are complete and no extra artifacts added
  • Output remains schema-pure for target artifact type
  • Traceability maps request -> output without gaps
  • Open questions and blockers are explicit when unresolved

</validation_and_quality_checks>

<output_template>

# Contract Delivery
- Assigned contract:
- Produced artifacts:
- Traceability:
- HITL decisions:
- Open questions/blockers:

</output_template>

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. yesterday First seen · 96 lines · 24 tokens per session scan A 17d679b95505

Subscribe to this mod's changes

prompt-engineer is an agent published in the GitHub repository griddynamics/rosetta (342 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 587 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 prompt-engineer, differing in 7 lines, and is treated as a copy.

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