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 document_organizationgit 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/document_organization)<a href="https://agentmods.dev/skills/ruinius/financial-analyst-skills/document_organization"><img src="https://agentmods.dev/badge/skills/ruinius/financial-analyst-skills/document_organization/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/document_organization"><img src="https://agentmods.dev/badge/skills/ruinius/financial-analyst-skills/document_organization.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 | $0.00030 | $0.00618 |
| Opus 5 | $0.00015 | $0.00309 |
| Sonnet 5 | $0.00006 | $0.00124 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
Document Organization 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 — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Document Organization (Phase 4)
All organization logic is consolidated into a single script that handles the complete lifecycle: classification parsing, unit harmonization, metadata management, file archival, and input cleanup.
- Execute the script:
python skills/document_organization/scripts/organize.py {markdown_file} - Verify no errors were thrown.
What the Script Does
| Step | Action | Details |
|---|---|---|
| 1 | Read Classification | Extracts ticker, company name, document type, dates, currency from the classification table |
| 2 | Harmonize Units | Detects prevailing unit from BS/IS, converts Shares Outstanding and Organic Growth values if they differ. Supports: ones, thousands, ten_thousands (万), millions, hundred_millions (億), billions |
| 3 | Read Financial Summary | Extracts Revenue, EBITA, NOPAT, ROIC, Growth etc. for metadata |
| 4 | Create/Update Metadata | Creates or updates output_data/TICKER/TICKER_metadata.md with document entry + financial history row. Handles deduplication and date sorting |
| 5 | Move & Cleanup | Moves .md and .pdf from processing_data/ → output_data/TICKER/ (removing _temp suffix). Deletes matching source PDF from input_data/ |
| 6 | Verify | Confirms destination files exist and source files are removed |
Unit Conversion Reference
The script uses a deterministic conversion table:
| Unit | Factor to Ones | Alias |
|---|---|---|
| ones | 1 | — |
| thousands | 1,000 | thousand |
| ten_thousands | 10,000 | 万 |
| millions | 1,000,000 | million |
| hundred_millions | 100,000,000 | 億 |
| billions | 1,000,000,000 | billion |
Metadata Management
- New ticker: Creates
TICKER_metadata.mdwith header, processed documents table, and financial history table - Existing ticker: Appends new rows, sorts by period end date, deduplicates by time period (re-processing overwrites)
- Last Updated field is always refreshed
Error Handling
- Missing source files → warns and continues
- Unknown units → raises ValueError with descriptive message
- Duplicate time periods → replaces existing row (re-processing scenario)
- Missing input_data/ files → logs info message (may have been manually cleaned)
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.
- 10d ago First seen · 53 lines · 30 tokens per session scan A b5133410cb5d
Document Organization is a skill published in the GitHub repository Ruinius/financial-analyst-skills (5 stars, last pushed 3mo ago), licensed MIT. It adds 30 tokens to every session and 618 once invoked, about $0.0002 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.
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