initiating-coverage skillA
initiating-coverage is agent-read markdown (skill) from ginlix-ai/langalpha: First-time coverage of a company, or a refresh of coverage already published, run one task per request by default: company research, financial model, valuation, charts, then a 30 to 50 page report with a model. Triggers on initiation report, initiate coverage, initiating coverage, full equity research report, refresh the initiation..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Initiating Coverage
A first-time coverage report: the argument for or against owning a company, built from original research, a full model and a defended valuation. Five tasks, one per request by default, each verifying its inputs before it starts. The deliverables are a 30 to 50 page DOCX and an XLSX model, with typography set by `.agents/skills/docx/SKILL.md`.
Evidence labels, source tiers, staleness, the readiness posture and the intake limits: `.agents/skills/research-conventions/SKILL.md`, read before the first deliverable.
## One task per request
This skill runs one task per request by default: execute the task, deliver its file, and stop, so the user can review before the next.
That stop is an intake exception and yields under `.agents/skills/research-conventions/references/intake.md`. When the user asked for the whole pipeline in one request ("do all five tasks", "run the whole initiation") or this skill is running as an input to another workflow, run the tasks in order without stopping between them, naming at each handoff the task just finished.
…Read the whole file at its exact version.
How to install
mdr add ginlix-ai/langalpha/initiating-coverage@git:20260915.b214b52mdr add ginlix-ai/langalpha/initiating-coverage@sha256:fdaeebc8e4646863Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_jtx3o23mj7xeeb4u)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260915.b214b52 latest | 2026-09-15 | b214b52 | 15,379 B | A | view · diff |
| git:20260826.8da358a | 2026-08-26 | 8da358a | 29,560 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15379 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
ginlix-ai/langalpha · 1,774 stars · license Apache-2.0 · pushed 2026-09-24 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_jtx3o23mj7xeeb4u GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/initiating-coverage GET https://markdownregistry.com/api/v1/blob/fdaeebc8e4646863b77f92c3a67773c8c506ed1218655609f36b0610eec37686
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.