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 initiating-coveragegit 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/initiating-coverage)<a href="https://agentmods.dev/skills/prof-little-bear/cc-equity-research/initiating-coverage"><img src="https://agentmods.dev/badge/skills/prof-little-bear/cc-equity-research/initiating-coverage/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/initiating-coverage"><img src="https://agentmods.dev/badge/skills/prof-little-bear/cc-equity-research/initiating-coverage.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 | $0.00090 | $0.07335 |
| Opus 5 | $0.00045 | $0.03667 |
| Sonnet 5 | $0.00018 | $0.01467 |
| Haiku 4.5 | $0.00009 | $0.00734 |
Grade A, and why
initiating-coverage 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 12d 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
100% identical to initiating-coverage — 0 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 — 784 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Initiating Coverage
Create institutional-quality equity research initiation reports through a structured 5-task workflow. Each task must be executed separately with verified inputs.
Overview
This skill produces comprehensive first-time coverage reports following institutional standards (JPMorgan, Goldman Sachs, Morgan Stanley format). Tasks are executed individually, each verifying prerequisites before proceeding.
Default Font: Times New Roman throughout all documents (unless user specifies otherwise).
⚠️ CRITICAL: One Task at a Time
THIS SKILL OPERATES IN SINGLE-TASK MODE ONLY.
If User Requests Full Pipeline
When user requests:
- "Create a coverage initiation report for [Company]"
- "Write an initiation report for [Company]"
- "Do the entire equity research process for [Company]"
- "Complete all 5 tasks for [Company]"
- Any request that implies running multiple tasks or the entire workflow
REQUIRED RESPONSE:
-
Ask which specific task to perform:
I can help you create an equity research initiation report for [Company]. This involves 5 separate tasks that need to be completed individually: 1. Company Research - Research business, management, industry 2. Financial Modeling - Build projection model 3. Valuation Analysis - DCF and comparable companies 4. Chart Generation - Create 25-35 charts 5. Report Assembly - Compile final report Which task would you like to start with? -
When user explicitly requests all tasks together:
I understand you'd like to complete the entire initiation report pipeline. Currently, this skill supports executing one task at a time, which allows for better quality control and review at each stage. We're working on a seamless end-to-end workflow that will make this process more automated, but for now, we'll need to complete each task separately. Would you like to start with Task 1 (Company Research)? -
Never automatically assume which task to start - always ask user to confirm.
What ships with it
8 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.
- assets/quality-checklist.md 9.4 KB
- assets/report-template.md 28 KB
- references/task1-company-research.md 12 KB
- references/task2-financial-modeling.md 27 KB
- references/task3-valuation.md 22 KB
- references/task4-chart-generation.md 32 KB
- references/task5-report-assembly.md 51 KB
- references/valuation-methodologies.md 14 KB
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.
- 12d ago First seen · 784 lines · 90 tokens per session scan A 9d21c6e460bc
initiating-coverage is a skill published in the GitHub repository prof-little-bear/cc-equity-research (88 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 90 tokens to every session and 7,335 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to initiating-coverage, differing in 0 lines, and is treated as a copy.
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sec-10k-analysis
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