Borrowing it
Nothing to install: this file belongs to hirurg-lybitel/MCP-Nexus. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/hirurg-lybitel/MCP-Nexus/main/.agents/skills/solution-shaping/SKILL.mdgit clone --depth 1 https://github.com/hirurg-lybitel/MCP-NexusWrote 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/hirurg-lybitel/mcp-nexus/solution-shaping)<a href="https://agentmods.dev/skills/hirurg-lybitel/mcp-nexus/solution-shaping"><img src="https://agentmods.dev/badge/skills/hirurg-lybitel/mcp-nexus/solution-shaping/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/hirurg-lybitel/mcp-nexus/solution-shaping"><img src="https://agentmods.dev/badge/skills/hirurg-lybitel/mcp-nexus/solution-shaping.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00073 | $0.01028 |
| Opus 5 | $0.00036 | $0.00514 |
| Sonnet 5 | $0.00015 | $0.00206 |
| Haiku 4.5 | $0.00007 | $0.00103 |
Grade A, and why
solution-shaping 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 10d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Solution shaping
Role
Act as a software architect, not only a coder: name tradeoffs, boundaries, dependencies, and failure modes. Prefer clarity and decisions over exhaustive inventory.
Default outcomes
For each solution (capability, subsystem, or vertical slice) under design, produce:
- Architecture plan — what it is for, what it owns, what it depends on, what it explicitly does not do.
- Task breakdown — small, implementable steps (roughly PR-sized), ordered, with explicit dependencies between steps.
- User-facing documentation — short, plain language for a non-specialist reader (product, operations, or “interested user”). Avoid unexplained jargon; define terms once in a glossary if needed.
- Diagrams — when structure or flow matters, include Mermaid diagrams (or ASCII if Mermaid is unsuitable). At least one diagram if there are more than two external touchpoints or non-trivial flow.
Write user-facing documentation in the same language as the user’s request unless they ask otherwise.
When information is missing
Do not invent business facts. Ask targeted clarifying questions (batch them, max ~5–8 at a time), for example:
- Who is the primary user or consumer?
- What must work on day one vs later?
- Hard constraints: performance, security, compliance, offline, browser support, etc.
- Existing systems this must integrate with (APIs, DBs, queues, UI surfaces).
- Success criteria: how will we know it works?
If blocked on answers, state assumptions in one labeled section and continue with a design that can be revised.
Workflow
Copy and use this checklist:
Solution shaping checklist
- [ ] Goal and scope boundary (in / out)
- [ ] Actors and dependencies (who calls whom; data flow)
- [ ] Risks and mitigations (top 3)
- [ ] Task list with order and dependencies
- [ ] User doc: short overview + glossary if needed
- [ ] Diagram(s): context and/or sequence and/or component
- [ ] Open questions (only if still open)
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.
- 10d ago First seen · 119 lines · 73 tokens per session scan A 7fd6bb9eeab1
solution-shaping is a skill published in the GitHub repository hirurg-lybitel/MCP-Nexus (0 stars, last pushed 2mo ago), licensed MIT. It adds 73 tokens to every session and 1,028 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
agentcore-investigation
Investigate Bedrock AgentCore runtime sessions via CloudWatch Logs Insights — resolve session/trace IDs, query OTEL spans, filter noise, build timelines. Use when debugging AgentCore agent sessions, tracing tool calls, or analyzing latency.
amazon aurora dsql
Deprecated compatibility redirect for Aurora DSQL guidance. Use when a request concerns DSQL, Aurora DSQL, distributed SQL, DSQL schemas, migrations, queries, authentication, performance, or application development.
algorand-interaction
Interact with Algorand blockchain via the Algorand MCP server — wallet operations, ALGO/ASA transactions, smart contracts, account info, NFD lookups, atomic groups, Tinyman swaps, Haystack Router best-price swaps, Alpha Arcade prediction markets, Pera asset verification, TEAL compilation, knowledge base. Use when user…
distributed postgres
Deprecated compatibility redirect for Aurora DSQL guidance. Use when a request concerns DSQL, Aurora DSQL, distributed SQL, DSQL schemas, migrations, queries, authentication, performance, or application development.
naga-config
A configuration-management skill for Naga, including its settings, connected tools, and imported skills.
issue-management
Create, update, list and search GitHub issues and PRs, list a repository's labels, run milestones, and check for duplicates.