Borrowing it
Nothing to install: this file belongs to daloopa/investing. 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/daloopa/investing/main/.claude/skills/working-capital/SKILL.mdgit clone --depth 1 https://github.com/daloopa/investingWrote 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/daloopa/investing/working-capital)<a href="https://agentmods.dev/skills/daloopa/investing/working-capital"><img src="https://agentmods.dev/badge/skills/daloopa/investing/working-capital.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium analysis-evasion · line 1 Suspicious Unicode normalization or mixed-script contentFix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
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 | $0.00017 | $0.05170 |
| Opus 5 | $0.00009 | $0.02585 |
| Sonnet 5 | $0.00003 | $0.01034 |
| Haiku 4.5 | $0.00002 | $0.00517 |
Grade A, and why
working-capital 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 8d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- working-capital — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 300 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Perform a cash conversion cycle, earnings quality, and working capital deep-dive for the company specified by the user: $ARGUMENTS
Before starting, read ../data-access.md for data access methods and ../design-system.md for formatting conventions. Follow the data access detection logic and design system throughout this skill.
Follow these steps:
1. Company Lookup
Look up the company by ticker using discover_companies. Capture:
company_idlatest_calendar_quarter— anchor for all period calculations below (see../data-access.mdSection 1.5)latest_fiscal_quarter- Firm name for report attribution (default: "Daloopa") — see
../data-access.mdSection 4.5
2. Series Discovery & Working Capital Profile Detection
Cast a wide net to discover ALL available series for this company. Search with multiple keyword sets to maximize coverage:
- Balance sheet: "receivable", "inventory", "payable", "deferred revenue", "contract", "prepaid", "accrued", "current asset", "current liabilit"
- Cash flow: "cash flow from operations", "working capital", "depreciation", "amortization", "stock-based comp", "capital expenditure", "free cash flow"
- Income statement: "revenue", "cost of goods", "cost of revenue", "operating income", "net income"
- Business-specific: "backlog", "billing", "remaining performance obligation", "provision", "allowance", "reserve", "unearned premium", "loss ratio"
Collect all unique series IDs. Read every series name carefully. You need to understand:
- What balance sheet line items are available (receivables, inventory, payables, deferred revenue, contract assets/liabilities, prepaid expenses, accrued liabilities, etc.)
- What cash flow statement detail exists (CFO, changes in working capital components, capex, stock-based comp, D&A, etc.)
- What business-specific KPIs exist that contextualize working capital (e.g., backlog for industrials, deferred revenue for SaaS, policy reserves for insurance, loan loss provisions for banks)
Based on series availability, classify the business's working capital profile:
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.
- 8d ago First seen · 300 lines · 17 tokens per session scan A ad8e527ec759
working-capital is a skill published in the GitHub repository daloopa/investing (487 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 17 tokens to every session and 5,170 once invoked, about $0.0001 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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