comps-analysis SKILL.md skillA

comps-analysis from ginlix-ai/langalpha is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add ginlix-ai/langalpha/comps-analysis@git:20260915.99ad826

Pins git:20260915.99ad826 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
ginlix-ai/langalpha
Path
plugins/langalpha_research/skills/comps-analysis/SKILL.md
Versions recorded
2
Latest version
git:20260915.99ad826, committed Sep 15, 2026
First version recorded
Aug 26, 2026
Size
25,659 bytes
Repository stars
2,249
License
Apache-2.0

Comparable company analysis: peer set, operating metrics, valuation multiples, statistics and an implied value. Triggers on comps, trading comparables, how does it trade against peers, peer benchmarking, what multiple should it get.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Comparable Company Analysis

A comps table is arithmetic anyone can do and data discipline almost nobody does. The multiples are the easy half: the work is in which companies belong in the set, whether each number measures the same thing over the same period, and how old it is. The steps below build the table in the order those questions have to be answered.

Evidence labels, source tiers, staleness, the readiness posture and the intake limits: `.agents/skills/research-conventions/SKILL.md`, read before the first figure enters the table.

Period labels, per-company LTM windows, NTM as four quarterly estimates, and one common base date for every comparative return are binding here: `.agents/skills/research-conventions/references/market-data-rules.md`, read before the first pull. Step 3 adds no rule of its own and says only which of those period cases a comps table selects.

## Step 1: Frame the table

Four questions decide what gets built. How many to ask, in what shape, and what to do when no answer comes back: `.agents/skills/research-conventions/references/intake.md`.

1. **Format**: their template, or ours
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add ginlix-ai/langalpha/comps-analysis@sha256:05fef10b744cb233

The line at the top of this page pins the label git:20260915.99ad826, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_4q4k4bib6fqrazmw.svg)](https://markdownregistry.com/a/art_4q4k4bib6fqrazmw)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Aug 26, 2026 and Sep 15, 2026, about one every 19 days.

versioncommittedcommitsizeaudit
git:20260915.99ad826 latest2026-09-15 99ad826 25,659 BA view · diff
git:20260826.8da358a2026-08-26 8da358a 24,463 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (25659 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

GitHub

ginlix-ai/langalpha · 2,249 stars · license Apache-2.0 · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_4q4k4bib6fqrazmw
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/comps-analysis
GET https://markdownregistry.com/api/v1/blob/05fef10b744cb2339b32ee6515d8cf2ae0e2b81a09ab5c008268f3c7f1573225

Your AI assistant 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.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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