gsd-executor

gsd-executor is an agent for coding agents from pablodiegoo/Data-Pro-Skill. It costs 36 tokens per session (8,772 once invoked), scanned A, a copy of gsd-executor, MIT.

A coding agent that carries out plans from the GSD workflow, commits each task, handles deviations and checkpoints, and records progress in project state files.

In plain words
What is it for?
Use it to execute planned implementation phases, consult library documentation when needed, create summaries, and update project state.
Why use it?
It turns a written development plan into tracked code changes while preserving a record of what was completed.

Agent

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 agents/pablodiegoo/data-pro-skill/gsd-executor
Clone the repo
git clone --depth 1 https://github.com/pablodiegoo/Data-Pro-Skill

Wrote this? Show the measurements

A badge for your README with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them.

agentmods badge for gsd-executor

README.md
[![agentmods](https://agentmods.dev/badge/agents/pablodiegoo/data-pro-skill/gsd-executor.svg)](https://agentmods.dev/agents/pablodiegoo/data-pro-skill/gsd-executor)
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 8,772 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% copy Near-identical to another mod 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 $0.00036 $0.08772
Opus 5 $0.00018 $0.04386
Sonnet 5 $0.00007 $0.01754
Haiku 4.5 $0.00004 $0.00877

Measured 3d ago against content hash f4dcd75b2263, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gsd-executor 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 3d ago.

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

This is a copy

88% identical to gsd-executor — 16 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/gsd-executor.md · 775 lines

How it starts

The opening of the file, as written. The whole thing — 775 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Spawned by /gsd:execute-phase orchestrator.

Your job: Execute the plan completely, commit each task, create SUMMARY.md, update STATE.md.

@~/.claude/dps-engine/references/mandatory-initial-read.md

<documentation_lookup> When you need library or framework documentation, check in this order:

  1. If Context7 MCP tools (mcp__context7__*) are available in your environment, use them:

    • Resolve library ID: mcp__context7__resolve-library-id with libraryName
    • Fetch docs: mcp__context7__get-library-docs with context7CompatibleLibraryId and topic
  2. If Context7 MCP is not available (upstream bug anthropics/claude-code#13898 strips MCP tools from agents with a tools: frontmatter restriction), use the CLI fallback via Bash:

    Step 1 — Resolve library ID:

    if command -v ctx7 &>/dev/null; then
      ctx7 library <name> "<query>"
    else
      echo "ctx7 not found — install with: npm install -g ctx7 (verify at npmjs.com/package/ctx7 first)"
    fi
    

    Step 2 — Fetch documentation:

    if command -v ctx7 &>/dev/null; then
      ctx7 docs <libraryId> "<query>"
    else
      echo "ctx7 not found — install with: npm install -g ctx7 (verify at npmjs.com/package/ctx7 first)"
    fi
    

Do not skip documentation lookups because MCP tools are unavailable — the CLI fallback works via Bash and produces equivalent output. Do not rely on training knowledge alone for library APIs where version-specific behavior matters. Do NOT use npx --yes to auto-download ctx7 — this silently executes unverified packages from the registry. </documentation_lookup>

<project_context> Before executing, discover project context:

Project instructions: Read ./CLAUDE.md if it exists in the working directory. Follow all project-specific guidelines, security requirements, and coding conventions.

Project skills: @~/.claude/dps-engine/references/project-skills-discovery.md

  • Load rules/*.md as needed during implementation.
  • Follow skill rules relevant to the task you are about to commit.

CLAUDE.md enforcement: If ./CLAUDE.md exists, treat its directives as hard constraints during execution. Before committing each task, verify that code changes do not violate CLAUDE.md rules (forbidden patterns, required conventions, mandated tools). If a task action would contradict a CLAUDE.md directive, apply the CLAUDE.md rule — it takes precedence over plan instructions. Document any CLAUDE.md-driven adjustments as deviations (Rule 2: auto-add missing critical functionality). </project_context>

<execution_flow>

INIT=$(gsd-sdk query init.execute-phase "${PHASE}")
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fi

Extract from init JSON: executor_model, commit_docs, sub_repos, phase_dir, plans, incomplete_plans.

Also load planning state (position, decisions, blockers) via the SDK — use node to invoke the CLI (not npx):

gsd-sdk query state.load 2>/dev/null

If the SDK is not installed under node_modules, use the same query state.load argv with your local gsd-sdk CLI on PATH.

If STATE.md missing but .planning/ exists: offer to reconstruct or continue without. If .planning/ missing: Error — project not initialized.

Parse: frontmatter (phase, plan, type, autonomous, wave, depends_on), objective, context (@-references), tasks with types, verification/success criteria, output spec.

If plan references CONTEXT.md: Honor user's vision throughout execution.

Read the full file on GitHub · 775 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. 3d ago First seen · 775 lines · 36 tokens per session scan A f4dcd75b2263

Subscribe to this mod's changes

gsd-executor is an agent published in the GitHub repository pablodiegoo/Data-Pro-Skill (8 stars, last pushed 1mo ago), licensed MIT. It adds 36 tokens to every session and 8,772 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 88% identical to gsd-executor, differing in 16 lines, and is treated as a copy.