Home / ginlix-ai / langalpha · plugins/langalpha_research/skills/research-conventions/SKILL.md · GitHub

research-conventions skillA

research-conventions is agent-read markdown (skill) from ginlix-ai/langalpha: The evidence, judgement, intake and market-data rules every research deliverable follows. Read before the first deliverable of a research task; when a number has no source; when two sources disagree; when a figure may be stale; when deciding what to ask the user; before any valuation, thesis or recommendation..

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

# Research Conventions

The shared layer beneath every skill in this plugin. Each research skill says what to build; this one says what a figure has to carry, how far the evidence lets the language go, what is worth asking before starting, and how periods, windows and returns are computed. It holds those rules so no skill re-derives them: on evidence, judgement, intake and market-data mechanics this layer is the source of truth, and the calling skill owns what its deliverable contains.

## Reference files

- Any deliverable that prints a figure, a number with no source, two sources disagreeing, a figure that may be stale, or how densely to cite: `.agents/skills/research-conventions/references/evidence.md`.
- A valuation, a thesis, a recommendation, a scenario set, or any section that ends in what to do: `.agents/skills/research-conventions/references/judgment.md`.
- Before asking the user anything at the start of a task, and when deciding whether to ask at all: `.agents/skills/research-conventions/references/intake.md`.
…

Read the whole file at its exact version.

How to install

Latest version
mdr add ginlix-ai/langalpha/research-conventions@git:20260915.83309ed
Exact content
mdr add ginlix-ai/langalpha/research-conventions@sha256:f14ef18ea58eee0c

Pin 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_baxixypea7tchtr7.svg)](https://markdownregistry.com/a/art_baxixypea7tchtr7)

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Versions

versioncommittedcommitsizeaudit
git:20260915.83309ed latest2026-09-15 83309ed 3,523 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (3523 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 · 1,774 stars · license Apache-2.0 · pushed 2026-09-24 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_baxixypea7tchtr7
GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/research-conventions
GET https://markdownregistry.com/api/v1/blob/f14ef18ea58eee0cdd0fe86409bc3eb0fa9a89edd5cb8f6daca789e6a04ca764

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.

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