explainable-boosting-machines-for-regulated-signals SKILL.md skillA
explainable-boosting-machines-for-regulated-signals from himanshuj16/algo-trading-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add himanshuj16/algo-trading-skills/explainable-boosting-machines-for-regulated-signals@v2.0.0Pins v2.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- himanshuj16/algo-trading-skills
- Path
skills/explainable-boosting-machines-for-regulated-signals/SKILL.md- Versions recorded
- 5
- Latest version
- v2.0.0, committed Sep 3, 2026
- First version recorded
- Jul 30, 2026
- Size
- 11,438 bytes
- Repository stars
- 50
- License
- Apache-2.0
Use when a signal must be explainable to a model-risk reviewer; composes an already-fitted explainable boosting machine from its shape functions and audits declared versus realised interactions, so attribution survives review.
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
## When to Use
Invoke this skill when a signal model's *attribution* has to survive review — by an
internal model-risk function, a compliance officer reconstructing why an order fired,
or a supervisor asking how the model reached its output. An EBM is a generalized
additive model with pairwise interactions:
$$g(E[y]) = \beta_0 + \sum_i f_i(x_i) + \sum_{(i,j)} f_{ij}(x_i, x_j)$$
Each $f$ is a learned lookup table over the feature's bins, so the model **is** the sum
of its term contributions. Reading an attribution off an EBM is a lookup, not a sampled
estimate as in SHAP or LIME — the same number every time, with no sampling variance for
a reviewer to challenge.
Use it when the model's inputs are tabular, the interpretability requirement is at least
as binding as the last few points of accuracy, and someone will have to justify the
model's shape to a third party. This module scores an EBM that has already been fitted
and produces the governance record; it does not fit one (`interpret` does that).
## When NOT to Use
- **As evidence of regulatory compliance.** This produces an audit *record*. Whether
…Read the whole file at its exact version.
How to install
mdr add himanshuj16/algo-trading-skills/explainable-boosting-machines-for-regulated-signals@sha256:51969e4ff42a6ae4The line at the top of this page pins the label v2.0.0, 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.
[](https://markdownregistry.com/a/art_7w5evztbneo25hdx)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Jul 30, 2026 and Sep 3, 2026, about one every 9 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v2.0.0 latest | 2026-09-03 | 8527a51 | 11,438 B | A | view · diff |
| v2.0.0 | 2026-09-03 | 64e8b01 | 11,493 B | A | view · diff |
| v2.0.0 | 2026-08-25 | 7e72405 | 11,446 B | A | view · diff |
| v1.0.0 | 2026-07-30 | 8b73e90 | 3,206 B | A | view · diff |
| v1.0.0 | 2026-07-30 | dfc60c7 | 586 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 (11438 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
himanshuj16/algo-trading-skills · 50 stars · license Apache-2.0 · pushed 2026-09-14 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_7w5evztbneo25hdx GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/explainable-boosting-machines-for-regulated-signals GET https://markdownregistry.com/api/v1/blob/51969e4ff42a6ae427a4f6bf1413cd89dee5a1cfebca8940e19ebf4b799a477e
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.