execute

execute is a command for Claude Code from ai-sdlc-framework/ai-sdlc. It costs 58 tokens per session (3,956 once invoked), scanned A, original, Apache-2.0.

A command that takes a backlog task or GitHub issue through software development from start to pull request. It creates a worktree, assigns development and review agents, signs the result, and opens the pull request.

In plain words
What is it for?
Use it to complete a backlog task or GitHub issue with separate development and review work, then open a pull request.
Why use it?
It gathers the repeated steps of implementing, reviewing, and preparing a work item into one workflow.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: model in frontmatter; mentions subagents; mentions Claude Code.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the ai-sdlc plugin — 1 skill, 23 commands, 14 agents shipped together

Good fit Use it to complete a backlog task or GitHub issue with separate development and review work, then open a pull request.

Compare 6 commands from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add ai-sdlc-framework/ai-sdlc
Claude Code
/plugin install ai-sdlc

Made for: Claude Code.

Or install ai-sdlc, the plugin that ships this one along with the rest of its 1 skill, 23 commands, 14 agents.

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 execute

README.md
[![agentmods](https://agentmods.dev/badge/commands/ai-sdlc-framework/ai-sdlc/execute/github.svg)](https://agentmods.dev/commands/ai-sdlc-framework/ai-sdlc/execute)
Your own site
<a href="https://agentmods.dev/commands/ai-sdlc-framework/ai-sdlc/execute"><img src="https://agentmods.dev/badge/commands/ai-sdlc-framework/ai-sdlc/execute/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for execute

Your own site · 80×15
<a href="https://agentmods.dev/commands/ai-sdlc-framework/ai-sdlc/execute"><img src="https://agentmods.dev/badge/commands/ai-sdlc-framework/ai-sdlc/execute.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 58 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 3,956 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00058 $0.03956
Opus 5.5 $0.00023 $0.01582
Sonnet 5.5 $0.00012 $0.00791
Haiku 4.5 $0.00006 $0.00396

Measured today against content hash 26537b42adc3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

execute scanned grade A with 1 finding 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 today.

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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

1. **Merging follows `governance.allowMerge` in `.ai-sdlc/agent-role.yaml`, rendered into the session hard rules; when it permits merging, the only path is `cli-merge-if-eligible`; never run the raw merge command.** Neve
ai-sdlc-plugin/commands/execute.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Execute work item $ARGUMENTS end-to-end. $ARGUMENTS is a backlog task ID (AISDLC-393, INGEST-42) or a GitHub issue (612, #612, gh:612).

You are a loop driver, not a pipeline narrator (AISDLC-762). Steps 0-15 (parent self-heal, sweep, validation, dependency preflight, worktree + hooks check, status flip + .active-task sentinel, prompts, classifier and incremental-review gates, nonce, transcript persistence, leaf emission, aggregation, iteration, pre-sign rebase, Done + verdicts file, signing, push, DRAFT PR, marker, sibling PRs, gh pr ready, cleanup) are implemented and tested in pipeline-cli/src/next-step/ and pipeline-cli/src/steps/. Do not re-implement or second-guess them. Your whole job: call next-step, perform the ONE instruction it returns, report the result, repeat.

Argument forms (AISDLC-393)

Form Regex Path
Explicit GitHub issue ^gh:\d+$ GH-issue (subscription billing, no backlog file, PR closes the issue)
Prefixed task id ^[A-Za-z][A-Za-z0-9]*-\d+(\.\d+)*$ backlog task
Bare / #-prefixed number ^#?\d+$ GH-issue

next-step classifies the argument (same shapes as parseExecuteArg in dogfood/src/dispatch-execute-arg.ts) and refuses anything else with the accepted forms. A gh:<n> run must be untrusted (AISDLC-720): issue text is outside input, so run it only in a session launched with AI_SDLC_UNTRUSTED_RUN=1 and AI_SDLC_UNTRUSTED_REASON='gh-issue source'. next-step runs the whole GH-issue pipeline itself (the claude CLI must be on PATH; it never falls back to ANTHROPIC_API_KEY) and returns the terminal instruction.

Hard rules (NEVER violate)

Items 1-4 and 6 are governance-configurable per repo (.ai-sdlc/agent-role.yaml spec.governance, RFC-0048 / AISDLC-601). Run this first and treat its output as authoritative for the session (no governance: section means every rule prints its strict text, except force-push which defaults to allowForcePush: leaseOnOwnBranch, AISDLC-710). Items 5 and 7 are fixed integrity floors, never configurable (RFC-0048 OQ-3).

Read the full file on GitHub · 130 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. today Changed · +1 lines 26537b42adc3
  2. 2d ago Changed c7cf2d30339c
  3. 4d ago Changed 7fc929fb1edb
  4. 5d ago Changed · +6 lines ab0428884f80
  5. 6d ago Changed · -1,922 lines · +7 tokens per session scan D → A 4c8f801381b0
  6. 7d ago Changed · +1 lines c9742cf287e5
  7. 8d ago Changed · +2 lines 8ee5296a0fe9
  8. 10d ago Changed 3d406af7c29b
  9. 11d ago Changed · +3 lines 9f7a85bb0f0f
  10. 12d ago First seen · 2,039 lines · 51 tokens per session scan D 83d27f92e11a

Subscribe to this mod's changes

execute is a command published in the GitHub repository ai-sdlc-framework/ai-sdlc (415 stars, last pushed yesterday), licensed Apache-2.0. It adds 58 tokens to every session and 3,956 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.