adversarial-robustness-of-trading-signals SKILL.md skillA
adversarial-robustness-of-trading-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/adversarial-robustness-of-trading-signals@v1.3.0Pins v1.3.0 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/adversarial-robustness-of-trading-signals/SKILL.md- Versions recorded
- 5
- Latest version
- v1.3.0, committed Sep 4, 2026
- First version recorded
- Aug 7, 2026
- Size
- 15,144 bytes
- Repository stars
- 50
- License
- Apache-2.0
Use before promoting an ML trading signal, to measure how often epsilon-bounded feature perturbations flip its output. A black-box gradient-free test; for a differentiable net, true FGSM or PGD gives a tighter worst-case bound.
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 **before promoting any ML trading-signal model to production** — Random Forests, Gradient Boosted Trees, deep nets, or any model exposing a `predict(X)` callable. Financial microstructure is adversarial in the technical sense: a flash crash, a spoofing layer, or genuine quote noise can perturb order- book features by less than one bid-ask spread and flip a model's signal from BUY to SELL. A model that flips under such noise is unsafe to trade. The skill produces a `SignalAdversarialTester` that injects epsilon-bounded perturbations into the validation feature matrix and reports: 1. The **vulnerability score** — `% of samples whose signal flips`, with a one-sided Wilson upper confidence bound on that rate. 2. The **flipped-sample indices** — so quant research can attribute *which* inputs sit on the decision boundary. 3. A **deployment verdict** — robust / vulnerable against a tolerance threshold, in two strengths: `is_robust` (point estimate) and `is_robust_at_ci` (the confidence bound also clears the tolerance). Gate on the latter. ## When NOT to Use - **Differentiable models requiring a *true* worst-case bound.** This engine is a …
Read the whole file at its exact version.
How to install
mdr add himanshuj16/algo-trading-skills/adversarial-robustness-of-trading-signals@sha256:78612228896981a1The line at the top of this page pins the label v1.3.0, 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_5zl4e462yqz2ahss)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Aug 7, 2026 and Sep 4, 2026, about one every 7 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.3.0 latest | 2026-09-04 | 48bcc05 | 15,144 B | A | view · diff |
| v1.3.0 | 2026-09-03 | 8527a51 | 15,143 B | A | view · diff |
| v1.3.0 | 2026-09-03 | eb7108c | 15,403 B | A | view · diff |
| v1.2.0 | 2026-08-13 | 097e217 | 12,594 B | A | view · diff |
| v1.1.0 | 2026-08-07 | 89d1436 | 2,313 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 (15144 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_5zl4e462yqz2ahss GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/adversarial-robustness-of-trading-signals GET https://markdownregistry.com/api/v1/blob/78612228896981a10a25d332ee31f283717152996349820614bde18c49619a46
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.