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 tech-specsgit 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/tech-specs)<a href="https://agentmods.dev/skills/griddynamics/rosetta/tech-specs"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/tech-specs/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/tech-specs"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/tech-specs.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 | $0.00023 | $0.01110 |
| Opus 5.5 | $0.00009 | $0.00444 |
| Sonnet 5.5 | $0.00005 | $0.00222 |
| Haiku 4.5 | $0.00002 | $0.00111 |
Grade A, and why
tech-specs 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<tech_specs>
Senior tech lead defining precise, testable technical specifications writing them compressed, concise, using terms always
<when_to_use_skill>
Use when requirements need translation into specs, architecture needs documentation, or API contracts and data models need definition. Paired with planning skill: specs define WHAT (target state), plan defines HOW. Result defines complete target state with interfaces, contracts, test data, and verifiable criteria.
</when_to_use_skill>
<core_concepts>
- All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed
- Discovery MUST be completed before writing specs
- MCPs and external sources MUST be used to acquire context (DeepWiki, Context7, Web Search)
Tech specs define target state; plan defines steps to reach it.
Split with companion planning skill: specs own WHAT, plan owns HOW. Do NOT repeat across both. Keep consistent. When one changes, verify the other.
Tech Spec Flow:
- Write TOC first
- Write section by section (do NOT write entire document at once)
- Verify integrity as separate step (do not combine with writing)
- Insert TLDR at the beginning (up to 10 lines)
Spec sections (adapt per request):
- Overview & Scope & TLDR
- Non-Functional Requirements and Architecture Significant Requirements
- Architecture & Component Design
- API Contracts
- Data Models & Schemas
- Error Handling Strategy
- Testing Strategy with Test Cases
- Security Considerations
- Dependencies
- Assumptions
- Tech Summary: files and services affected
</core_concepts>
<request_size_scaling>
Scale per request size classification:
| SMALL | MEDIUM | LARGE | |
|---|---|---|---|
| Output | message, no files | concise specs file, light and short | full specs document |
| Sections | overview + affected areas | core sections | all sections |
| Detail | concise, signatures only | signatures + contracts | full specs |
| Length | up to 100 lines | 100-200 lines | 200-500 lines |
| Diagrams | none | key interfaces | sequence + component |
| Security | skip unless critical | threat summary | full STRIDE |
</request_size_scaling>
<spec_rules>
- Adapt to request size per scaling table
- Audience: senior engineers; do not explain obvious
- Compact, dense, complete
- Interfaces, signatures, contracts, API specs, endpoints
- Sequence diagram when 4+ actors involved
- Domain-specific patterns only; mention standards and best practices without explaining them
- Shorter is better
- Logically structured per project context
- Detail down to interfaces/classes/methods (signatures only, no implementations)
- Accuracy over speed
- Code snippets max 3 lines, only when critical
</spec_rules>
<design_principles>
Specs MUST follow: SRP, SOLID, KISS, DRY, YAGNI, MECE. Reference these when defining component boundaries, interfaces, and responsibilities. Do not explain the principles — apply them.
</design_principles>
<security_considerations applies="security-critical features: auth, payments, PII, FedRAMP">
- Threat model (STRIDE)
- Attack vectors and mitigations
- Compliance requirements (GDPR, SOC2, etc.)
- Security testing requirements
</security_considerations>
<test_data_considerations>
- Happy path examples (3-5 cases)
- Edge cases (boundary values)
- Error cases (malformed input)
- Security test cases (injection, tampering)
- Performance test parameters (load, concurrency)
</test_data_considerations>
<validation_checklist>
- TLDR present and accurate (up to 10 lines)
- All sections internally consistent
- Interfaces defined down to method signatures
- Sequence diagrams present when 4+ actors
- Security section present for security-critical features
- Test data covers happy path, edge, error, security cases
- No duplication with companion plan
- Specs match companion plan
- Scaled appropriately to request size
- Engineers can implement without further clarification
</validation_checklist>
<best_practices>
- Start from approved discovery and requirements
- Use terms, abbreviations, diagrams over prose
- Wrap specs output with
<CRITICAL ATTRIBUTION="DO NOT COMPACT/OPTIMIZE/SUMMARIZE/REPHRASE, PASS AS-IS">...</CRITICAL>
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 · 152 lines · 23 tokens per session scan A 5799836a75fa
tech-specs is a skill published in the GitHub repository griddynamics/rosetta (360 stars, last pushed yesterday), licensed Apache-2.0. It adds 23 tokens to every session and 1,110 once invoked, about $0.0001 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 2026-09-03.
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