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 prof-little-bear/cc-equity-research --skill model-updategit clone --depth 1 https://github.com/prof-little-bear/cc-equity-researchWrote 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/prof-little-bear/cc-equity-research/model-update)<a href="https://agentmods.dev/skills/prof-little-bear/cc-equity-research/model-update"><img src="https://agentmods.dev/badge/skills/prof-little-bear/cc-equity-research/model-update/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/prof-little-bear/cc-equity-research/model-update"><img src="https://agentmods.dev/badge/skills/prof-little-bear/cc-equity-research/model-update.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 | $0.00000 | $0.00776 |
| Opus 5 | $0.00000 | $0.00388 |
| Sonnet 5 | $0.00000 | $0.00155 |
| Haiku 4.5 | $0.00000 | $0.00078 |
Grade A, and why
model-update 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.
This is a copy
98% identical to model-update — 7 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Model Update
description: Update financial models with new data — quarterly earnings, management guidance, macro changes, or revised assumptions. Adjusts estimates, recalculates valuation, and flags material changes. Use after earnings, guidance updates, or when assumptions need refreshing. Triggers on "update model", "plug earnings", "refresh estimates", "update numbers for [company]", "new guidance", or "revise estimates".
Workflow
Step 1: Identify What Changed
Determine the update trigger:
- Earnings release: New quarterly actuals to plug in
- Guidance change: Company updated forward outlook
- Estimate revision: Analyst changing assumptions based on new data
- Macro update: Interest rates, FX, commodity prices changed
- Event-driven: M&A, restructuring, new product, management change
Step 2: Plug New Data
After Earnings
Update the model with reported actuals:
| Line Item | Prior Estimate | Actual | Delta | Notes |
|---|---|---|---|---|
| Revenue | ||||
| Gross Margin | ||||
| Operating Expenses | ||||
| EBITDA | ||||
| EPS | ||||
| [Key metric 1] | ||||
| [Key metric 2] |
Segment Detail (if applicable):
- Update each segment's revenue and margin
- Note any segment mix shifts
Balance Sheet / Cash Flow Updates:
- Cash and debt balances
- Share count (buybacks, dilution)
- Capex actual vs. estimate
- Working capital changes
Step 3: Revise Forward Estimates
Based on the new data, adjust forward estimates:
| Old FY Est | New FY Est | Change | Old Next FY | New Next FY | Change | |
|---|---|---|---|---|---|---|
| Revenue | ||||||
| EBITDA | ||||||
| EPS |
Key Assumption Changes:
- What assumptions are you changing and why?
- Revenue growth rate: old → new (reason)
- Margin assumption: old → new (reason)
- Any new items (restructuring charges, one-time gains, etc.)
Step 4: Valuation Impact
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 · 93 lines · 0 tokens per session scan A d1fdb72925a4
model-update is a skill published in the GitHub repository prof-little-bear/cc-equity-research (88 stars, last pushed 3mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 776 tokens. A static security scan graded it A with 0 findings. It is 98% identical to model-update, differing in 7 lines, and is treated as a copy.
Other skills, from other repositories
equity-research
Full-stack equity research report generator built on the Anamnesis Pattern (cross-session institutional memory + scheduled adversarial review). Trigger when the user wants to analyze a company, generate an equity research report, fundamental analysis, or stock investment research. Works with a company name (web…
octagon-analyst-master
Route broad company, sector, valuation, filings, transcript, and market data questions into the right Octagon workflow. Use when the user wants full-scope investment research or when multiple Octagon skills may be needed.
prediction-markets-analysis
Generate Kalshi prediction market research reports or fetch structured event history. Use when the user mentions Kalshi, prediction markets, market probability, expected return, or event history.
analyst-estimates
Retrieve analyst financial estimates including revenue and EPS projections with ranges and coverage. Use when analyzing forward expectations, consensus assumptions, or valuation inputs for a public company.
earnings-call-analysis
Analyze earnings call transcripts for guidance, management commentary, analyst concerns, and strategic signals. Use when the user asks about earnings calls, transcript takeaways, management tone, or future guidance.
sec-10k-analysis
Analyze 10-K annual filings to extract business model, financial priorities, risk factors, segments, and notable changes. Use when the user asks about 10-Ks, annual filings, SEC risk factors, or filing-based due diligence.