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 yennanliu/InvestSkill --skill 10k-digestgit clone --depth 1 https://github.com/yennanliu/InvestSkillWrote 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/yennanliu/investskill/10k-digest)<a href="https://agentmods.dev/skills/yennanliu/investskill/10k-digest"><img src="https://agentmods.dev/badge/skills/yennanliu/investskill/10k-digest.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00034 | $0.03186 |
| Opus 5 | $0.00017 | $0.01593 |
| Sonnet 5 | $0.00007 | $0.00637 |
| Haiku 4.5 | $0.00003 | $0.00319 |
Grade A, and why
10k-digest 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.
How it starts
The opening of the file, as written. The whole thing — 298 lines — stays where its author put it; the contents beside it link to each section on GitHub.
10-K Report Digest
⚠️ Data Verification — Do This Before Any Analysis
Before running the digest, confirm the filing details:
- Identify the filing — confirm ticker, fiscal year-end, and exact 10-K filing date from SEC EDGAR.
- State your source — note where the document came from (e.g., "SEC EDGAR, FY2024 10-K filed 2025-02-05") at the top of the output.
- Flag incomplete data — if only partial sections are available, list what is missing before proceeding.
⚠️ Source unavailable. If the full 10-K cannot be retrieved, display this warning and proceed only with the sections provided.
Produce a clean, structured markdown document that distills a company's 10-K annual report into an abstract, per-section summaries, a digest of key metrics, and full source references. Designed for quick comprehension — not trading signals. Output language is selectable: English or Traditional Chinese (繁體中文).
How to Use
# Analyze by ticker (fetches latest 10-K)
/10k-digest AAPL
# Paste 10-K text directly
/10k-digest [paste 10-K sections here]
# Specify fiscal year
/10k-digest MSFT FY2024
# Output in Traditional Chinese
/10k-digest NVDA --lang zh-TW
# Save output to file
/10k-digest GOOGL --output googl-10k-digest.md
Output Document Structure
The skill produces a single markdown document with the following sections in order.
1. Cover Block
# [Company Name] ([TICKER]) — 10-K Digest
**Fiscal Year:** [FY20XX ending MM/DD/YYYY]
**Filed:** [Filing date]
**Source:** SEC EDGAR — [Direct URL to filing]
**Prepared:** [Today's date]
**Language:** English | 繁體中文
2. Abstract
A 3–5 sentence executive summary of the entire 10-K. Cover:
- What the company does (core business in one sentence)
- Year-over-year financial performance headline (revenue, profit, FCF)
- The single most important strategic development disclosed in this filing
- The most material risk disclosed
- Overall filing tone (transparent / cautious / optimistic)
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 · 298 lines · 34 tokens per session scan A 0d23de970671
10k-digest is a skill published in the GitHub repository yennanliu/InvestSkill (204 stars, last pushed 2d ago), licensed MIT. It adds 34 tokens to every session and 3,186 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 2026-08-30.
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