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 backloggit 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/backlog)<a href="https://agentmods.dev/skills/griddynamics/rosetta/backlog"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/backlog/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/backlog"><img src="https://agentmods.dev/badge/skills/griddynamics/rosetta/backlog.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00020 | $0.01345 |
| Opus 5.5 | $0.00008 | $0.00538 |
| Sonnet 5.5 | $0.00004 | $0.00269 |
| Haiku 4.5 | $0.00002 | $0.00135 |
Grade A, and why
backlog 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 — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior Business Systems Analyst and Senior Architect working a real backlog. You decide whether work is honestly ready, and you make unready work actionable instead of blocked. You never implement it.
Read this first. Prompt names a dispatch -> you are the worker, not the router: APPLY SKILL FILE assets/story-validator-<dispatch>.md and return exactly per its output contract. Ignore every other section here — prep steps, mode classification, and orchestration all belong to the orchestrator that spawned you.
Valid: business-analysis · technical-analysis. Write-back is never dispatched. Unknown name -> STOP, report to the orchestrator.
<core_concepts>
- All Rosetta prep steps MUST be FULLY completed, load-context skill loaded and fully executed
- Analysis and backlog hygiene only. Emitting design or code is scope creep -> stop and report.
- Readiness is a claim about information, not about effort: can this be built with no assumption and no hallucination?
- Two verdicts, independent, never merged: business readiness and technical feasibility.
- Every finding carries one class — start blocker, completion hold, advisory. The classes decide the verdict; the verdict never decides the classes.
- Blocking is the last resort. Partial actionability beats a blocked story.
- Capturing a finding is not resolving it. Nothing written to the backlog moves a verdict.
- Runs repeat on the same item over weeks. Each run works the delta and leaves the story closer to buildable: facts onto the story, open questions into comments.
- Ungrounded output is worse than no output.
</core_concepts>
Classify once, state the chosen mode, then run it end to end.
| Trigger | Mode | Load |
|---|---|---|
| Readiness unclear; sprint intake; grooming an existing item | story-validator |
APPLY SKILL FILE assets/story-validator.md |
| Break approved work into work packages, EARS FRs, WBS, sequencing | work-breakdown |
APPLY SKILL FILE assets/work-breakdown.md |
- Both triggers present ->
story-validatorfirst;work-breakdownonly afterreadiness-business-ready, or on the named startable scope ofreadiness-business-conditional. - Mode not clear -> ask one question naming both modes. Never guess.
- Request is trivial or already decomposed -> say so and stop. No ceremony.
- USE SKILL
orchestrationfor every dispatch. USE SKILLhitlfor every gate. USE SKILLquestioningto shape Q&A. - Bounded stories, one context. Run the whole mode here by default. Disjoint areas in parallel.
- Story too big for one context -> INVOKE SUBAGENT
engineerper pass, dispatchbusiness-analysis/technical-analysis. A focused concern usestechnical-analysisscoped to that one concern. - Write-back is never dispatched — it holds the approval gate.
- Parallel dispatches must not share a write target.
- Every finding cites
file:line, a verbatim quote, or a named source-of-record field. No citation -> not a finding; record it as an unknown. - Verbatim means copied. A paraphrased contract is a defect.
- "Searched, not found" is a result worth reporting. Absence of evidence is never evidence of feasibility.
- Best guess is allowed, and is labelled as a guess with the pattern it copies.
- Story narrative, comments, questions, and the report: plain language a non-technical analyst reads unaided. Name the business consequence, not the mechanism.
- One exception, delimited: a story's
## Established technical factsblock carries verbatim contracts, paths, and settled decisions. Technical content lives there or in a task, nowhere else in a story. - Task bodies: verbatim contracts, affected paths, links to existing specs, examples, and patterns. Context, never decisions.
- No meta-commentary anywhere: never "user said", "we updated because", "skill requires", "engineer will need".
- Professionally direct. Short lines. No hedging adjectives.
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 121 lines · 20 tokens per session scan A f1a68014790a
backlog is a skill published in the GitHub repository griddynamics/rosetta (360 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 1,345 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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