/agent-loop
Detect requests for iterative autonomous agent loops and route to the appropriate loop executor
Claude Code
$ npx -y skills add jmagly/aiwg --skill agent-loop --agent claude-code
Codex
$ npx skills add jmagly/aiwg --skill agent-loop -a codex -y
Cursor
$ npx skills add jmagly/aiwg --skill agent-loop -a cursor -y
Gemini CLI
$ npx skills add jmagly/aiwg --skill agent-loop -a gemini-cli -y
GitHub Copilot
$ npx skills add jmagly/aiwg --skill agent-loop -a github-copilot -y
OpenCode
$ npx skills add jmagly/aiwg --skill agent-loop -a opencode -y
Windsurf
$ npx skills add jmagly/aiwg --skill agent-loop -a windsurf -y
SKILL.md
agent-loop.SKILL.mdnamespace: aiwg
name: agent-loop
description: Detect requests for iterative autonomous agent loops and route to the appropriate loop executor
version: 3.1.0
platforms: [all]
<!-- AIWG-SKILL-CALLOUT --> > **Skill access pattern (post-kernel-pivot, 2026.5+)** > > Skill names referenced in this document are AIWG skills, **not slash commands**. Most are not kernel-listed and cannot be invoked as `/skill-name` by the platform. Reach them via: > > ```bash > aiwg discover "<capability>" > aiwg show skill <name> --body > ``` > > Only kernel-listed skills (`aiwg-doctor`, `aiwg-refresh`, `aiwg-status`, `aiwg-help`, `use`, `steward`) are directly invokable as slash commands. See [skill-discovery rule](../../../addons/aiwg-utils/rules/skill-discovery.md).
Agent Loop Skill
You detect when users want iterative autonomous task execution and route to an internal, in-session loop by default. External daemon loops are opt-in and require an explicit request.
HITL authorization checkpoints
Before any confirmation below, read and apply [agent-loop authorization checkpoints](../../docs/hitl-authorization.md). Call `aiwg config authorization check --action-file "$ACTION_FILE" --target "$TARGET_REPO"` for host-classified effects. Only `auto-authorized` with a signed receipt skips that workflow prompt; retain existing prompts/refusals otherwise. Platform prompts are never bypassed. Limits, regression and threat overrides still require review.
Loop Taxonomy
This skill is the **detection and routing layer** for autonomous agent loops — iterative patterns where a single agent retries a task against completion criteria until success or limits.
| Loop Type | Implementation | Description | |-----------|---------------|-------------| | **Internal Agent Loop** | current assistant session / internal loop | Default visible iterate-until-complete workflow in the active session | | **Al** | internal `ralph` concept | Basic iterate-until-complete when named without external qualifiers | | **External Agent Loop** | `agent-loop-ext` / `ralph-external` daemon | Explicitly requested background, detached, crash-resilient, or resumable work | | *(future)* | — | Reflection loops, critic-actor loops, branching loops |
Generic loop requests route to the internal in-session loop. As new loop types are added, this skill will route based on task characteristics.
Routing Policy
Step 0: Provider Capability Check
Before choosing the loop mechanism, detect the active provider via `aiwg runtime-info` or the steward capability surface. The provider branch is internal to this skill; users invoke the same `agent-loop` / `ralph` names everywhere.
| Provider capability | Route | Notes | |---|---|---| | Provider with native `/goal` (Codex, Claude Code) | Delegate the in-session loop to `/goal` | Convert the task plus completion criterion into a standing goal. If a programmatic goal tool is unavailable, print the exact `/goal "..."` command for the operator instead of emulating a duplicate loop. | | Provider with native dynamic orchestration (Claude Code Workflow tool) | In-session multi-agent fan-out MAY delegate to the native orchestration tool | AIWG retains audit, gates, best-output selection, and cross-session durability. The native tool is in-session/background scoped — NOT a detached daemon — so detached/resume-after-session work stays AIWG-native (see external row). | | Other providers | AIWG internal loop discipline | Keep the existing visible act/verify/adapt cycle in the current session. | | Explicit external/background request | `agent-loop-ext` / `ralph-external` | Detached, crash-resilient, resume-after-session-ends work stays AIWG-native: `/goal` is in-session, and the Claude Code Workflow tool is session-scoped. Codex has no core `/workflow` (verified, `codex-cli 0.135.0`, #1535). |
Native `/goal` mapping:
/goal "<task>; completion: <measurable criterion>"
When completion is omitted, run `infer-completion-criteria` first and include the inferred criterion in the goal text. AIWG remains responsible for any activity-log entries, issue comments, and human-authorization gates around the loop.
Research and decision record: `.aiwg/research/codex-goal-integration.md`, `.aiwg/architecture/adr-codex-goal-routing.md`. The Claude Code dialect is the same operator-facing form: `/goal "<task>; completion: <criterion>"`.
External/orchestration routing (provider-native `/workflow`): `.aiwg/research/provider-workflow-integration.md`, `.aiwg/architecture/adr-workflow-routing.md`. Verified against `codex-cli 0.135.0` (#1535): Codex has no core `/workflow`; Claude Code's Workflow tool is the in-session orchestration analog. Detached/cross-session work stays AIWG-native (`ralph-external`).
Default: Internal/In-Session Loop
Use the internal loop when the user says `agent-loop`, `al`, `ralph`, `loop`, `iterate`, `keep trying`, `fix until green`, `address issues`, `handle all listed issues`, or supplies an iteration bound such as `--iterations 200` without explicit external wording.
Run the work visibly in the current assistant session:
1. Establish completion criteria. 2. Declare any loop controls required by task criticality: budget ceilings, eval/holdout split, and exploration quota. 3. Record a hypothesis, expected failure mode, and distinguishing diagnostic before each material change. 4. Act on the next bounded slice of work. 5. Verify with the relevant checks. 6. Adapt with structural variation after flat cycles, then continue until completion, blocker, budget stop, or the requested iteration cap.
For long-running, high-criticality, budgeted, adversarial, or eval-driven loops, AIWG treats mechanical evidence as load-bearing and self-report as secondary. Relevant controls:
- **Budget stop**: declared wall-clock/token/spend/tool ceilings stop the loop
and require a best-output report.
- **Dosed entropy**: non-improving cycles cannot repeat the same tactic; every
declared `K
Read more
namespace: aiwg name: agent-loop description: Detect requests for iterative autonomous agent loops and route to the appropriate loop executor version: 3.1.0 platforms: [all]
<!-- AIWG-SKILL-CALLOUT --> > **Skill access pattern (post-kernel-pivot, 2026.5+)** > > Skill names referenced in this document are AIWG skills, **not slash commands**. Most are not kernel-listed and cannot be invoked as `/skill-name` by the platform. Reach them via: > > ```bash > aiwg discover "<capability>" > aiwg show skill <name> --body > ``` > > Only kernel-listed skills (`aiwg-doctor`, `aiwg-refresh`, `aiwg-status`, `aiwg-help`, `use`, `steward`) are directly invokable as slash commands. See [skill-discovery rule](../../../addons/aiwg-utils/rules/skill-discovery.md).
Agent Loop Skill
You detect when users want iterative autonomous task execution and route to an internal, in-session loop by default. External daemon loops are opt-in and require an explicit request.
HITL authorization checkpoints
Before any confirmation below, read and apply [agent-loop authorization checkpoints](../../docs/hitl-authorization.md). Call `aiwg config authorization check --action-file "$ACTION_FILE" --target "$TARGET_REPO"` for host-classified effects. Only `auto-authorized` with a signed receipt skips that workflow prompt; retain existing prompts/refusals otherwise. Platform prompts are never bypassed. Limits, regression and threat overrides still require review.
Loop Taxonomy
This skill is the **detection and routing layer** for autonomous agent loops — iterative patterns where a single agent retries a task against completion criteria until success or limits.
| Loop Type | Implementation | Description | |-----------|---------------|-------------| | **Internal Agent Loop** | current assistant session / internal loop | Default visible iterate-until-complete workflow in the active session | | **Al** | internal `ralph` concept | Basic iterate-until-complete when named without external qualifiers | | **External Agent Loop** | `agent-loop-ext` / `ralph-external` daemon | Explicitly requested background, detached, crash-resilient, or resumable work | | *(future)* | — | Reflection loops, critic-actor loops, branching loops |
Generic loop requests route to the internal in-session loop. As new loop types are added, this skill will route based on task characteristics.
Routing Policy
Step 0: Provider Capability Check
Before choosing the loop mechanism, detect the active provider via `aiwg runtime-info` or the steward capability surface. The provider branch is internal to this skill; users invoke the same `agent-loop` / `ralph` names everywhere.
| Provider capability | Route | Notes | |---|---|---| | Provider with native `/goal` (Codex, Claude Code) | Delegate the in-session loop to `/goal` | Convert the task plus completion criterion into a standing goal. If a programmatic goal tool is unavailable, print the exact `/goal "..."` command for the operator instead of emulating a duplicate loop. | | Provider with native dynamic orchestration (Claude Code Workflow tool) | In-session multi-agent fan-out MAY delegate to the native orchestration tool | AIWG retains audit, gates, best-output selection, and cross-session durability. The native tool is in-session/background scoped — NOT a detached daemon — so detached/resume-after-session work stays AIWG-native (see external row). | | Other providers | AIWG internal loop discipline | Keep the existing visible act/verify/adapt cycle in the current session. | | Explicit external/background request | `agent-loop-ext` / `ralph-external` | Detached, crash-resilient, resume-after-session-ends work stays AIWG-native: `/goal` is in-session, and the Claude Code Workflow tool is session-scoped. Codex has no core `/workflow` (verified, `codex-cli 0.135.0`, #1535). |
Native `/goal` mapping:
/goal "<task>; completion: <measurable criterion>"
When completion is omitted, run `infer-completion-criteria` first and include the inferred criterion in the goal text. AIWG remains responsible for any activity-log entries, issue comments, and human-authorization gates around the loop.
Research and decision record: `.aiwg/research/codex-goal-integration.md`, `.aiwg/architecture/adr-codex-goal-routing.md`. The Claude Code dialect is the same operator-facing form: `/goal "<task>; completion: <criterion>"`.
External/orchestration routing (provider-native `/workflow`): `.aiwg/research/provider-workflow-integration.md`, `.aiwg/architecture/adr-workflow-routing.md`. Verified against `codex-cli 0.135.0` (#1535): Codex has no core `/workflow`; Claude Code's Workflow tool is the in-session orchestration analog. Detached/cross-session work stays AIWG-native (`ralph-external`).
Default: Internal/In-Session Loop
Use the internal loop when the user says `agent-loop`, `al`, `ralph`, `loop`, `iterate`, `keep trying`, `fix until green`, `address issues`, `handle all listed issues`, or supplies an iteration bound such as `--iterations 200` without explicit external wording.
Run the work visibly in the current assistant session:
1. Establish completion criteria. 2. Declare any loop controls required by task criticality: budget ceilings, eval/holdout split, and exploration quota. 3. Record a hypothesis, expected failure mode, and distinguishing diagnostic before each material change. 4. Act on the next bounded slice of work. 5. Verify with the relevant checks. 6. Adapt with structural variation after flat cycles, then continue until completion, blocker, budget stop, or the requested iteration cap.
For long-running, high-criticality, budgeted, adversarial, or eval-driven loops, AIWG treats mechanical evidence as load-bearing and self-report as secondary. Relevant controls:
- **Budget stop**: declared wall-clock/token/spend/tool ceilings stop the loop
and require a best-output report.
- **Dosed entropy**: non-improving cycles cannot repeat the same tactic; every
declared `K
Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.
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Questions about agent-loop.
- Which coding agents can use agent-loop?
- agent-loop installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

