iterative-retrieval

iterative-retrieval is a skill for Claude Code, Codex from github/gh-aw. It costs 34 tokens per session (1,385 once invoked), scanned A, original, MIT.

A structured process for assigning sub-tasks to agents, limiting retries to three cycles, and checking their results.

In plain words
What is it for?
It helps write clearer spawn requests with context, success criteria, and instructions for handling uncertainty.
Why use it?
It prevents vague handoffs, endless task cycles, and unverified work from being treated as complete.

Skill for Claude CodeCodex

About the project

GitHub Agentic Workflows is a GitHub CLI extension that lets developers define AI-assisted repository automation in Markdown and run it through GitHub Actions. It is intended for tasks requiring interpretation or reasoning, such as issue triage, pull-request review, CI investigation, documentation maintenance, and dependency analysis. The catalogue entries provide skills and agents for working with these workflows.

github/gh-aw · 5,091 stars · on GitHub

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/github/gh-aw/iterative-retrieval
Any agent
npx skills add github/gh-aw --skill iterative-retrieval
Clone the repo
git clone --depth 1 https://github.com/github/gh-aw

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for iterative-retrieval

README.md
[![agentmods](https://agentmods.dev/badge/skills/github/gh-aw/iterative-retrieval.svg)](https://agentmods.dev/skills/github/gh-aw/iterative-retrieval)
Your own site
<a href="https://agentmods.dev/skills/github/gh-aw/iterative-retrieval"><img src="https://agentmods.dev/badge/skills/github/gh-aw/iterative-retrieval.svg" alt="Measured on agentmods" height="20"></a>
Per session 34 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,385 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00034 $0.01385
Opus 5 $0.00017 $0.00692
Sonnet 5 $0.00007 $0.00277
Haiku 4.5 $0.00003 $0.00138

Measured yesterday against content hash a1ac94cbaed7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

iterative-retrieval scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

4 near-identical copies found in the catalogue:

.squad/templates/skills/iterative-retrieval/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Iterative Retrieval Skill

Squad agents frequently spawn sub-agents to complete scoped work. Without structure, these handoffs become vague, cycles multiply, and outputs land without being checked. The Iterative Retrieval Pattern caps cycles at 3, mandates WHY context in every spawn, and requires the coordinator to validate agent output before closing an issue.


Spawn Prompt Template

Every agent spawn must include the following four sections. Copy and fill in the template:

## Task
{What you need done — concrete and bounded}

## WHY this matters
{The motivation and context. What system or user goal does this serve? What breaks if skipped?}

## Success criteria
{How you will know the output is correct. Be explicit — list acceptance criteria, not vibes.}
Example:
- [ ] File X exists and contains Y
- [ ] No regressions in existing tests
- [ ] PR is open targeting main with description matching the issue

## Escalation path
{What the agent should do if uncertain or stuck. "Stop and ask me" is valid.}
Example:
- If requirements are ambiguous → stop, comment on the issue, set label status:needs-decision
- If blocked by a dependency → label status:blocked, explain in a comment
- If 3 cycles exhausted without resolution → write a summary to inbox and surface to coordinator

3-Cycle Protocol

Cycle Description Exit condition
1 Initial attempt Done → coordinator validates. Incomplete → surface delta.
2 Targeted retry with specific corrections Done → coordinator validates. Incomplete → one more.
3 Final attempt with all context from cycles 1–2 Done or escalate — no cycle 4.

Rules

  1. After each cycle, the coordinator evaluates the output against the success criteria before accepting it or spawning the next cycle.
  2. Objective context forward: each subsequent spawn includes a summary of what was tried and what is still missing — not just a repeat of the original task.
  3. Cycle 3 exhausted → escalate: write a summary to .squad/decisions/inbox/, label the issue status:needs-decision, and notify the user.

Read the full file on GitHub · 166 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday First seen · 166 lines · 34 tokens per session scan A a1ac94cbaed7

Subscribe to this mod's changes

iterative-retrieval is a skill published in the GitHub repository github/gh-aw (5,091 stars, last pushed yesterday), licensed MIT. It adds 34 tokens to every session and 1,385 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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