adaptive-sampling-under-extreme-tick-rates SKILL.md skillA
adaptive-sampling-under-extreme-tick-rates 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/adaptive-sampling-under-extreme-tick-rates@v1.2.0Pins v1.2.0 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/adaptive-sampling-under-extreme-tick-rates/SKILL.md- Versions recorded
- 5
- Latest version
- v1.2.0, committed Sep 3, 2026
- First version recorded
- Jul 30, 2026
- Size
- 6,324 bytes
- Repository stars
- 50
- License
- Apache-2.0
Use when a trade-tick stream exceeds a consumer's measured processing ceiling and you must emit 1:N samples that still preserve traded volume and notional. Not for order-book, quote or compliance feeds that need every message.
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 for a high-rate **trade-tick** stream when a downstream strategy or analytics consumer has a measured processing ceiling and cannot safely keep every input tick. The engine monitors per-symbol arrival rate, emits every `1:N` ticks during overload, and aggregates skipped trade volume and price-volume notional into the emitted sample. The default target of 5,000 ticks/second is an example capacity parameter, not a universal market-data standard. Calibrate it from measured CPU, queue, latency, and downstream correctness budgets. ## When NOT to Use - Do not use sampled output for order-book reconstruction, quote protection, spread/microstructure signals, queue-position models, latency-sensitive execution, or regulatory/compliance records that require the complete feed. - Do not use it to repair feed gaps, sequence gaps, duplicate messages, or venue recovery state. Detect and reconcile those upstream before sampling. - Do not drop residual aggregates at shutdown, symbol removal, or feed restart; call `flush`, `flush_all`, or `reset_symbol(flush=True)` and persist the result. …
Read the whole file at its exact version.
How to install
mdr add himanshuj16/algo-trading-skills/adaptive-sampling-under-extreme-tick-rates@sha256:dfebcfa5a11804cbThe line at the top of this page pins the label v1.2.0, 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_7pbvmoznn6uqbigv)
2 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 | |
|---|---|---|---|---|---|
| v1.2.0 latest | 2026-09-03 | 8527a51 | 6,324 B | A | view · diff |
| v1.2.0 | 2026-09-03 | eb7108c | 6,410 B | A | view · diff |
| v1.1.0 | 2026-08-13 | 097e217 | 5,553 B | A | view · diff |
| v1.0.0 | 2026-08-07 | 89d1436 | 3,052 B | A | view · diff |
| v1.0 | 2026-07-30 | dfc60c7 | 3,050 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 (6324 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_7pbvmoznn6uqbigv GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/adaptive-sampling-under-extreme-tick-rates GET https://markdownregistry.com/api/v1/blob/dfebcfa5a11804cb60fc7c07944389521cffa0b41f533278c7c8792b8f2dbb28
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.