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 Ruinius/financial-analyst-skills --skill model_json_generatorgit clone --depth 1 https://github.com/Ruinius/financial-analyst-skillsWrote 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/ruinius/financial-analyst-skills/model_json_generator)<a href="https://agentmods.dev/skills/ruinius/financial-analyst-skills/model_json_generator"><img src="https://agentmods.dev/badge/skills/ruinius/financial-analyst-skills/model_json_generator/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/ruinius/financial-analyst-skills/model_json_generator"><img src="https://agentmods.dev/badge/skills/ruinius/financial-analyst-skills/model_json_generator.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 | $0.00037 | $0.00236 |
| Opus 5.5 | $0.00015 | $0.00094 |
| Sonnet 5.5 | $0.00007 | $0.00047 |
| Haiku 4.5 | $0.00004 | $0.00024 |
Grade A, and why
Model JSON Generator 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.
What it actually says
Model JSON Generator (Phase 7)
This skill reads the completed TICKER_metadata.md file and converts the financial modeling tables into TICKER_financial_model.json.
- Execute the script:
python skills/model_json_generator/scripts/generate_json.py {TICKER} {TICKER_metadata_path} - Verify it threw no errors.
What the Script Does
- Reads
TICKER_metadata.md - Parses tables for Financial History, WACC, DCF Assumptions, DCF Model Projections, and Intrinsic Value.
- Transforms the flat table data into a nested JSON structure.
- Writes to
output_data/TICKER/TICKER_financial_model.jsonfor consumption by the interactive viewer.
Prerequisites
- Phase 6 (Financial Modeling) must have already run and populated the WACC, DCF Assumptions, and DCF Model sections in the metadata.
What ships with it
3 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 · 23 lines · 37 tokens per session scan A d6c3acba3ebb
Model JSON Generator is a skill published in the GitHub repository Ruinius/financial-analyst-skills (5 stars, last pushed 4mo ago), licensed MIT. It adds 37 tokens to every session and 236 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 2026-08-31.
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