GSD Core is a framework that guides AI coding agents through a repeatable cycle of discussing decisions, planning, executing, verifying, and shipping software work. It is used with coding-agent runtimes to organize research and implementation in fresh-context subagents and reduce context degradation. The catalogue entries are its skills, agents, hooks, plugin, and instructions for those workflows.
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.
npx agentmods add skills/open-gsd/gsd-core/gsd-execute-phasenpx skills add open-gsd/gsd-core --skill gsd-execute-phasegit clone --depth 1 https://github.com/open-gsd/gsd-coreWrote 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.
[](https://agentmods.dev/skills/open-gsd/gsd-core/gsd-execute-phase)<a href="https://agentmods.dev/skills/open-gsd/gsd-core/gsd-execute-phase"><img src="https://agentmods.dev/badge/skills/open-gsd/gsd-core/gsd-execute-phase.svg" alt="Measured on agentmods" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00023 | $0.00691 |
| Opus 5 | $0.00012 | $0.00345 |
| Sonnet 5 | $0.00005 | $0.00138 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
gsd-execute-phase 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 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.
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.
Copies of this mod
1 near-identical copy found in the catalogue:
- mindforge-execute-phase — 86% identical, 27 lines differ
What it actually says
Orchestrator stays lean: discover plans, analyze dependencies, group into waves, spawn subagents, collect results. Each subagent loads the full execute-plan context and handles its own plan.
Optional wave filter:
--wave Nexecutes only WaveNfor pacing, quota management, or staged rollout- phase verification/completion still only happens when no incomplete plans remain after the selected wave finishes
Flag handling rule:
- The optional flags documented below are available behaviors, not implied active behaviors
- A flag is active only when its literal token appears in
$ARGUMENTS - If a documented flag is absent from
$ARGUMENTS, treat it as inactive
Context budget: ~15% orchestrator, 100% fresh per subagent.
<execution_context>
@/.claude/gsd-core/workflows/execute-phase.md
@/.claude/gsd-core/references/ui-brand.md
</execution_context>
<runtime_note>
Copilot (VS Code): Use vscode_askquestions wherever this workflow calls AskUserQuestion. They are equivalent — vscode_askquestions is the VS Code Copilot implementation of the same interactive question API.
</runtime_note>
Available optional flags (documentation only — not automatically active):
--wave N— Execute only WaveNin the phase. Use when you want to pace execution or stay inside usage limits.--gaps-only— Execute only gap closure plans (plans withgap_closure: truein frontmatter). Use after verify-work creates fix plans.--interactive— Execute plans sequentially inline (no subagents) with user checkpoints between tasks. Lower token usage, pair-programming style. Best for small phases, bug fixes, and verification gaps.
Active flags must be derived from $ARGUMENTS:
--wave Nis active only if the literal--wavetoken is present in$ARGUMENTS--gaps-onlyis active only if the literal--gaps-onlytoken is present in$ARGUMENTS--interactiveis active only if the literal--interactivetoken is present in$ARGUMENTS- If none of these tokens appear, run the standard full-phase execution flow with no flag-specific filtering
- Do not infer that a flag is active just because it is documented in this prompt
Context files are resolved inside the workflow via gsd-tools query init.execute-phase and per-subagent <required_reading> blocks.
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.
- today Changed · +6 tokens per session bb1855f60b90
- 5d ago First seen · 65 lines · 17 tokens per session scan A 8e233b2f8b63
gsd-execute-phase is a skill published in the GitHub repository open-gsd/gsd-core (9,125 stars, last pushed today), licensed MIT. It adds 23 tokens to every session and 691 once invoked, about $0.0001 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 2026-08-30.
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