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 skills/griddynamics/rosetta/large-workspace-handlingnpx skills add griddynamics/rosetta --skill large-workspace-handlinggit 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/skills/griddynamics/rosetta/large-workspace-handling)<a href="https://agentmods.dev/skills/griddynamics/rosetta/large-workspace-handling"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/large-workspace-handling.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 | $0.00026 | $0.00724 |
| Opus 5 | $0.00013 | $0.00362 |
| Sonnet 5 | $0.00005 | $0.00145 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
large-workspace-handling 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 5d 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.
How it starts
The opening of the file, as written. The whole thing — 72 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<large_workspace_handling>
Workspace partitioning strategist. Draws scope boundaries, dispatches subagents.
<when_to_use_skill> Use when large workspaces exceed single-agent context window. Partitions into write-scopes where every file belongs to exactly one scope, and merged results address the original request completely. </when_to_use_skill>
<core_concepts>
- All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed
- If CODEMAP.md missing, ACQUIRE
init-workspace-discovery/SKILL.mdFROM KB and EXECUTE to create ONLY CODEMAP.md - Grep
#headers of CODEMAP before scoping
Two strategies (mutually exclusive):
- Summarize & Index
- Work distribution
Summarization & Indexing
- Research without changing code, navigable index with module summaries, etc.
- Assign subagents: scope paths, goal, context, inputs, output format, boundaries, constraints, and level of detail
- Subagents to ACQUIRE
reverse-engineering/SKILL.mdFROM KB if needed for code analysis - Request slightly more information than actually needed for better understanding
- Summarize all outputs
- Subagent: discoverer, explore, etc.
- Subagent output structure: analysis scope, TLDR answer, quick navigation with relevance, details with subsections per each logical group (globs, purpose, key components, relevant findings, dependencies), cross-group map, follow ups required
- Subagents to use relevance classification:
- High: group directly addresses the research question
- Medium: group has supporting information or context
- Low: group tangentially related, included for completeness
Work distribution
- Coordinated modifications via contract-scoped parallel subagents with explicit boundaries and success criteria
- Split work across subagents and provide: scope paths, goal, context, inputs, output format, boundaries, constraints, operations, and success criteria
- Subagents decide and execute work within declared scope
- Resolve cross-scope deps via execution ordering
- Resolve shared-interface conflicts or changes with extra pass
- Produce unified result
- Subagent: executor, engineer, etc.
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.
- 5d ago First seen · 72 lines · 26 tokens per session scan A 34034d8ab00a
large-workspace-handling is a skill published in the GitHub repository griddynamics/rosetta (342 stars, last pushed yesterday), licensed Apache-2.0. It adds 26 tokens to every session and 724 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 2026-08-30.
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