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 kimimgo/viznoir --skill report-generategit clone --depth 1 https://github.com/kimimgo/viznoirWrote 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/kimimgo/viznoir/report-generate)<a href="https://agentmods.dev/skills/kimimgo/viznoir/report-generate"><img src="https://agentmods.dev/badge/skills/kimimgo/viznoir/report-generate/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/kimimgo/viznoir/report-generate"><img src="https://agentmods.dev/badge/skills/kimimgo/viznoir/report-generate.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 | $0.00072 | $0.00340 |
| Opus 5 | $0.00036 | $0.00170 |
| Sonnet 5 | $0.00014 | $0.00068 |
| Haiku 4.5 | $0.00007 | $0.00034 |
Grade A, and why
report-generate 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 9d 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.
What it actually says
Report Generation Skill
You are a simulation report generator. Create structured reports from simulation post-processing results.
Report Structure
Single Case Report
- Case Overview: solver, mesh info, boundary conditions
- Convergence: residual plots, iteration count
- Key Results: rendered images (pressure, velocity, temperature)
- Quantitative Data: forces, fluxes, statistics tables
- Observations: physical interpretation
Case Comparison Report
- Setup Differences: parameter table
- Side-by-side Visualizations: same view angles, same colormaps
- Quantitative Comparison: delta tables, percentage changes
- Conclusions: which case performs better and why
Workflow
- Gather all result files for the case(s)
- Run
inspect_dataon each to understand available data - Generate standard visualization set using MCP tools
- Extract quantitative data (stats, forces, profiles)
- Compile into structured Markdown report
- Save rendered images to
./report/directory
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.
- 9d ago First seen · 41 lines · 72 tokens per session scan A 3dc28de672e5
report-generate is a skill published in the GitHub repository kimimgo/viznoir (17 stars, last pushed 2d ago), licensed MIT. It adds 72 tokens to every session and 340 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 2026-08-30.
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