sector-overview skillA
sector-overview is agent-read markdown (skill) from ginlix-ai/langalpha: Sector and industry landscape report, built on the sector's own archetypes, metrics and valuation lenses. Triggers on sector overview, industry landscape, industry primer, sector deep dive, market map..
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
# Sector Overview A landscape report on an industry: how it earns money, who is winning, what it is worth, and what would change that. The quality of the report is decided in the first step, not the last: a set classified into the wrong archetype produces the right-looking report with the wrong metrics, the wrong multiple and the wrong risks. Evidence labels, source tiers, staleness, the readiness posture and the intake limits: `.agents/skills/research-conventions/SKILL.md`, read before the first deliverable. ## Workflow ### 1. Scope it - **Sector or subsector**, and how narrowly the boundary is drawn. - **Purpose**: a client report, a research packet, pitch material, idea generation. - **Angle**: a neutral landscape, or a thematic thesis the report is testing. - **Universe**: public names only, or private included. - **Depth**: default `working analysis`; a sector screen is a `first pass`. Bands and what to cut first: `.agents/skills/research-conventions/references/depth.md`. ### 2. Classify into an archetype before analysing …
Read the whole file at its exact version.
How to install
mdr add ginlix-ai/langalpha/sector-overview@git:20260915.52e16a2mdr add ginlix-ai/langalpha/sector-overview@sha256:d5a97973de1ab713Pin 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_grprnzzux7mkmcr7)
1 badge views in 30 days
Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260915.52e16a2 latest | 2026-09-15 | 52e16a2 | 7,975 B | A | view · diff |
| git:20260826.8da358a | 2026-08-26 | 8da358a | 3,276 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 (7975 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_grprnzzux7mkmcr7 GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/sector-overview GET https://markdownregistry.com/api/v1/blob/d5a97973de1ab7131623b97f55dfa5e74d120e2522008963fe8e9f09b7efcce1
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.
More from ginlix-ai/langalpha
Every file in ginlix-ai/langalpha