impact-analysis skillA
impact-analysis is agent-read markdown (skill) from ginlix-ai/langalpha: Translate a macro, policy, rate, commodity, geopolitical or industry shock into equity exposure through a named transmission channel. Triggers on what does X mean for, impact of, exposure to, who benefits from, tariff, rate cut, oil shock, new regulation..
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
# Impact Analysis One object carries this skill: the **transmission chain**, written as event, channel, driver, line item, action. A shock reaches a share price only by reaching a named landing, a financial line item or the valuation input a discount rate moves directly, so a claim that cannot name where it lands is a mood about a theme and does not ship. This is the work between `.agents/skills/morning-note/SKILL.md`, which says something happened, and the models, which say what a company is worth. Evidence labels, source tiers, staleness, the readiness posture and the intake limits: `.agents/skills/research-conventions/SKILL.md`, read before the first deliverable. **The exposure map is the default output.** Absent a position list the user supplied, the report names candidates in research-queue language and says in one sentence what would convert the screen into an action. Every name in it is a research candidate until the user says otherwise. ## Step 1: Frame the shock and freeze the as-of …
Read the whole file at its exact version.
How to install
mdr add ginlix-ai/langalpha/impact-analysis@git:20260921.26f807bmdr add ginlix-ai/langalpha/impact-analysis@sha256:e2699bb1fcdd4f6cPin 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_5gggcwb3kt4y5xns)
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Versions
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260921.26f807b latest | 2026-09-21 | 26f807b | 14,740 B | A | view · diff |
| git:20260915.78e74dc | 2026-09-15 | 78e74dc | 14,755 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 (14740 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_5gggcwb3kt4y5xns GET https://markdownregistry.com/api/v1/resolve?ref=ginlix-ai/langalpha/impact-analysis GET https://markdownregistry.com/api/v1/blob/e2699bb1fcdd4f6c064132183ed6f5ebb1ba30deb572e746748b667734b2d93b
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