iterative-retrieval skillA
iterative-retrieval is agent-read markdown (skill) from aaaaqwq/agi-super-team: Progressively refine codebase and evidence retrieval for agents using dispatch, evaluation, query refinement, and bounded iteration. Use when a task spans unfamiliar modules, initial context is incomplete or noisy, an agent reports missing context, or parallel workers need compact evidence packets..
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Iterative Retrieval Pattern Solve the context problem in multi-agent workflows where agents do not know what evidence they need until investigation begins. ## When to Activate - Spawning subagents that need codebase context they cannot predict upfront - Building multi-agent workflows where context is progressively refined - Encountering "context too large" or "missing context" failures in agent tasks - Designing RAG-like retrieval pipelines for code exploration - Optimizing token usage in agent orchestration ## The Problem Subagents are spawned with limited context. They don't know: - Which files contain relevant code - What patterns exist in the codebase - What terminology the project uses Standard approaches fail: - **Send everything**: Exceeds context limits - **Send nothing**: Agent lacks critical information - **Guess what's needed**: Often wrong ## The Solution: Iterative Retrieval A 4-phase loop that progressively refines context: ``` ┌─────────────────────────────────────────────┐ │ │ │ ┌──────────┐ ┌──────────┐ │ │ │ DISPATCH │─────│ EVALUATE │ │ …
Read the whole file at its exact version.
How to install
mdr add aaaaqwq/agi-super-team/iterative-retrieval@git:20260721.4bfa205mdr add aaaaqwq/agi-super-team/iterative-retrieval@sha256:b6f67105d27bd11aPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_ozhn5jwkgv7kqydt)
1 badge views in 30 days
Versions
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 (7120 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
aaaaqwq/agi-super-team · 98 stars · license MIT · pushed 2026-09-23 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_ozhn5jwkgv7kqydt GET https://markdownregistry.com/api/v1/resolve?ref=aaaaqwq/agi-super-team/iterative-retrieval GET https://markdownregistry.com/api/v1/blob/b6f67105d27bd11a59db4c4dc619213e42295778226ff319ca05bdcc21cd6c31
Your agent 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.
More from aaaaqwq/agi-super-team
Every file in aaaaqwq/agi-super-team