data-retention-policy-and-storage-tiering SKILL.md skillA
data-retention-policy-and-storage-tiering 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/data-retention-policy-and-storage-tiering@v1.1.0Pins v1.1.0 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/data-retention-policy-and-storage-tiering/SKILL.md- Versions recorded
- 5
- Latest version
- v1.1.0, committed Sep 3, 2026
- First version recorded
- Jul 30, 2026
- Size
- 8,284 bytes
- Repository stars
- 50
- License
- Apache-2.0
Use when planning the lifecycle that moves tick archives, backtest outputs and trade logs across hot, warm, cold and deep-archive tiers, without deleting anything a retention rule still requires.
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 Use this skill in market data infrastructure and quantitative data lakes to plan multi-tier storage lifecycles. High-frequency L2/L3 data accumulates faster than any retention budget, and keeping multi-year tick history on HOT NVMe is a large recurring bill for data nobody queries. This engine places each dataset on an age-driven tier ladder, applies the applicable retention period as a *safety gate* over that ladder, and quantifies the gross monthly cost delta with the cloud-storage caveats that make naive lifecycle rules cost more than they save. Use it when you need the tiering decision to be **auditable** — a persisted record of why each dataset moved, or why it deliberately did not. ## When NOT to Use - **Not a compliance oracle.** It does not determine which retention period applies to a record. That is a legal determination, supplied as the `regulatory_retention_years` input. - **Not an executor.** It emits recommendations. It does not call AWS, apply lifecycle rules, or delete anything. - **Not a billing forecast.** Savings are gross steady-state storage figures; see Prerequisites for what is excluded. …
Read the whole file at its exact version.
How to install
mdr add himanshuj16/algo-trading-skills/data-retention-policy-and-storage-tiering@sha256:6b8b5448e53d7f21The line at the top of this page pins the label v1.1.0, 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_oxegvuesh2f4odqi)
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 | |
|---|---|---|---|---|---|
| v1.1.0 latest | 2026-09-03 | 8527a51 | 8,284 B | A | view · diff |
| v1.1.0 | 2026-08-23 | a0fdc9e | 8,355 B | A | view · diff |
| v1.0.0 | 2026-08-07 | 89d1436 | 3,476 B | A | view · diff |
| v1.0.0 | 2026-07-30 | dfc60c7 | 3,474 B | A | view · diff |
| v1.0.0 | 2026-07-30 | 66d0ca2 | 3,489 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 (8284 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_oxegvuesh2f4odqi GET https://markdownregistry.com/api/v1/resolve?ref=himanshuj16/algo-trading-skills/data-retention-policy-and-storage-tiering GET https://markdownregistry.com/api/v1/blob/6b8b5448e53d7f21ff253f5b195ea79d4fd0f39192182ee34f62dc0f79267c3c
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.