timeframe-research SKILL.md skillA
timeframe-research from av/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add av/skills/timeframe-research@git:20260826.646df7dPins git:20260826.646df7d in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- av/skills
- Path
timeframe-research/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260826.646df7d, committed Aug 26, 2026
- Size
- 10,586 bytes
- Repository stars
- 28
- License
- MIT
Build a timeframe-bounded research dossier by decomposing a topic into year orchestrators and month-level research passes that each write one condensed paragraph plus sources directly into a target file. Use when the user asks for a dossier, timeline, chronology, release history, or month-by-month research bounded by specific years or months. Not for timeless explainers or single-document summaries with no temporal scope.
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
# Timeframe Research ## What This Skill Does This skill turns a date-bounded research request into a deterministic execution plan. It is designed for prompts such as: - Make a dossier about `llama.cpp` in `2023-2026` and store it in `<file>`. - Research notable local AI milestones from `2024` and write them month by month. - Build a timeline of `open-weight multimodal models` from `2025-01` through `2026-03`. The core pattern is fixed: 1. Normalize the requested timeframe. 2. Scaffold the target file with year and month headings. 3. Launch one **year orchestrator** per year in scope. 4. Each year orchestrator launches one **month researcher** per month in scope. 5. Each month researcher writes exactly one condensed paragraph plus sources under the matching heading. 6. Run a final quality pass for date accuracy, completeness, and structure. If literal nested subagent launching is unavailable in the current tool environment, the agent must preserve the same logic by running isolated month-bounded research passes inside each year pass and explicitly noting that fallback. ## When To Use This Skill Use this skill when the user asks for: …
Read the whole file at its exact version.
How to install
mdr add av/skills/timeframe-research@sha256:104a9aa30e6a9029The line at the top of this page pins the label git:20260826.646df7d, 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_zgz4ojhjm5yjysyf)
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Versions
The registry has recorded 1 version of this file, committed on Aug 26, 2026.
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 (10586 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
av/skills · 28 stars · license MIT · pushed 2026-10-21 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_zgz4ojhjm5yjysyf GET https://markdownregistry.com/api/v1/resolve?ref=av/skills/timeframe-research GET https://markdownregistry.com/api/v1/blob/104a9aa30e6a90295700a97a642d5f7e77ca5c747bff0ccf9c73f8ed63e77fc7
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.