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 skills add griddynamics/rosetta --skill init-workspace-documentationgit 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/init-workspace-documentation)<a href="https://agentmods.dev/skills/griddynamics/rosetta/init-workspace-documentation"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/init-workspace-documentation/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/skills/griddynamics/rosetta/init-workspace-documentation"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/init-workspace-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 7 Skill selects an external model or provider that may use a different account or billing plan than the operator expects. Undisclosed model switches can cause unexpected cost or quota consumption.Fix: Remove the model/provider override or disclose it prominently and require explicit operator approval before invoking an external coding CLI or billed model.
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 | $0.00010 | $0.01245 |
| Opus 5.5 | $0.00004 | $0.00498 |
| Sonnet 5.5 | $0.00002 | $0.00249 |
| Haiku 4.5 | $0.00001 | $0.00125 |
Grade A, and why
init-workspace-documentation 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<init_workspace_documentation>
<when_to_use_skill> Workspaces lack structured documentation, forcing every session to re-discover facts and repeat mistakes. This skill creates five foundational docs from source code analysis. Proof: all five docs exist, are non-empty, complementary, and track unknowns. </when_to_use_skill>
<core_concepts>
- All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed
- ACQUIRE
reverse-engineering/SKILL.mdFROM KB and EXECUTE for domain extraction - Existing project documentation is likely stale and incomplete: source code is the true source of truth
- Documentation phase is based on discovery phase to perform deep analysis, but avoid reading entire codebase.
- Select which files to read, group organize by modules/batches/groups and must assign to subagents to execute.
</core_concepts>
- Dual-mode based on state.mode:
- Scan for each target doc file
- Compare existing content against codebase findings
- install = create all; upgrade = update gaps only
- Never overwrite human-added content; merge alongside
- Report created/updated/skipped files
- Analyze project structure and key source files
- Create TODO task per document with business context angle
- Track unknowns in ASSUMPTIONS.md with forward references
- Create or update documents:
CONTEXT.md:
- What this doc is for and what it should contain, self-defining style
- Self-defines purpose, content type, style
- Bulleted business context, purpose, domain — stakeholder perspective
- No technical details
ARCHITECTURE.md:
- What this doc is for and what it should contain, self-defining style
- Self-defines purpose, content type, style
- Architecture, modules, workspace structure, testing, styling, building blocks
- No business context — reference CONTEXT.md
- Reference CODEMAP.md for file structure
IMPLEMENTATION.md:
- What this doc is for and what it should contain, self-defining style
- Self-defines purpose, content type, style
- Baseline state VERY BRIEFLY (first part, use word "Baseline" in header, not word "current" - misleading later on)
- High-level change log, each change separate header with date and description (second part)
- DRY — reference other docs
- The only implementation change log
- If nothing to add - add template
ASSUMPTIONS.md:
- What this doc is for and what it should contain, self-defining style
- Self-defines purpose, content type, style
- Each entry: assumption, confidence level, target file when resolved
- Revalidate all assumptions after other documents complete
- If nothing to add - add template
TODO.md:
- What this doc is for and what it should contain, self-defining style
- Self-defines purpose, content type, style
- Each entry comes with header containing "priority when what where" and body with details
- If nothing to add - add template
AGENT MEMORY.md:
- What this doc is for and what it should contain, self-defining style
- Self-defines purpose, content type, style
- Must follow the template exactly - it will be updated during use
- Keep template entries so that AI knows how to fill them in later on
- It is for agent operational notes, not a duplicate of CONTEXT.md/ARCHITECTURE.md
README.md:
- Create in workspace and in each repository root README.md files if missing
- Special cases:
- Speckit: if
memory/constitution.mdandspecsfolder exist, add "MUST ACQUIRE speckit-integration-policy.md FROM KB and execute it" to CONTEXT.md - Composite (state.composite = true): create top-level docs as registries with workspace-relative paths to sub-repo docs
- If large project add "MUST USE SKILL
large-workspace-handling" to CONTEXT.md
- Speckit: if
<validation_checklist>
- Each document contains self-definition of purpose and style
- Documents complement without repeating each other
- ASSUMPTIONS.md entries have forward references to target documents
- Upgrade mode: human content preserved, only gaps filled
- Files can be grepped by headers for useful information and ToC </validation_checklist>
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 · 143 lines · 10 tokens per session scan A ea15dc13930f
init-workspace-documentation is a skill published in the GitHub repository griddynamics/rosetta (360 stars, last pushed 2d ago), licensed Apache-2.0. It adds 10 tokens to every session and 1,245 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.
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