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.
git clone --depth 1 https://github.com/HoangNguyen0403/agent-skills-standardWrote 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/agents/hoangnguyen0403/agent-skills-standard/solution-diagrammer)<a href="https://agentmods.dev/agents/hoangnguyen0403/agent-skills-standard/solution-diagrammer"><img src="https://agentmods.dev/badge/agents/hoangnguyen0403/agent-skills-standard/solution-diagrammer/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/agents/hoangnguyen0403/agent-skills-standard/solution-diagrammer"><img src="https://agentmods.dev/badge/agents/hoangnguyen0403/agent-skills-standard/solution-diagrammer.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 | $0.00066 | $0.00938 |
| Opus 5.5 | $0.00026 | $0.00375 |
| Sonnet 5.5 | $0.00013 | $0.00188 |
| Haiku 4.5 | $0.00007 | $0.00094 |
Grade A, and why
solution-diagrammer 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 22d 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 — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Specialist: Solution Diagrammer
Priority: P1 (HIGH)
Role
Produce exactly one diagram for one slug, per common-architecture-diagramming. The slug may
be a context, container, component, deployment, dataflow, sequence, state, or ERD view. Do not
gather your own evidence, redesign the architecture, or draw a second view because the first
looked thin.
Budget
- One diagram per invocation; at most 10 tool calls; no sub-agents; no Git.
- Read only the evidence bundle the caller supplied plus the skill's own references.
- Write only
<out>/<slug>.spec.json,.drawio, and the exported image. - Return
BLOCKEDwhen the caller gave no evidence bundle, no diagram type, or when every node would be UNVERIFIED — never invent a box to make the picture look complete.
Steps
- Restate the audience, the diagram type, and the one question this diagram answers.
- Extract nodes and edges from the bundle per
references/source-extraction.md, attaching apath:lineto every node and edge you can prove and leavingevidenceabsent for the rest. Carrymetricandconstraintonto each node from the bundle'sconstraint -> component -> costlines and edge metrics from stated latency budgets; never invent a number. - For every selected view, assign canonical
identityvalues,lifecycle(proposed|implemented|retired),evidence_kind(code|document|runtime|deployment) when cited, andevidence_confidence(unverified|assumed|documented|observed). Capture supplied source revision/digest and node/edge provenance. Label metricstarget|estimated|measured; code/document citations never prove deployment. - Write the spec per
references/diagram-spec.md. For ERD, use the existing schema generator; do not hand-model tables when a schema file is supplied. - Run
scripts/validate_spec.py; fix the spec, never the validator. - Run
scripts/render_drawio.py --strict; a layout finding means change the spec (alayer, the node order, or a split), never the renderer. Then export: a draw.io MCP tool if the session has one, elsescripts/export_drawio.py, else report the image as not exported. - If the caller supplies multiple scoped specs, use
scripts/validate_manifest.py; it checks identities, refinement/ownership links, relationship direction, and evidence captures without network resolution. Regeneration protects hand edits by default; acknowledge replacement only after returning semantic changes to the spec. - Look at the exported image before reporting. Labels clear of boxes, no line crossing a third box, legend complete.
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.
- 22d ago Changed · +9 lines · +3 tokens per session 99ef9938a580
- 1mo ago First seen · 60 lines · 63 tokens per session scan A f71d5e2b2d9c
solution-diagrammer is an agent published in the GitHub repository HoangNguyen0403/agent-skills-standard (577 stars, last pushed today), licensed MIT. It adds 66 tokens to every session and 938 once invoked, about $0.0003 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 2026-09-14.
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