Extends the #1074 scheme to tests/agent-size-budget.test.cjs, which used the same assertTightCeiling tier ratchet but was still line-based (never rebased in #717). Completes the migration — the last part of the #1074 epic. - Rebase agent sizing from lines to LF-normalized bytes (#717/#683). - Delete the 'SIZE: tier anti-creep' describe (3 assertTightCeiling tests); add a per-agent baseline (tests/agent-size-baseline.json) as the primary anti-creep, and byte hard caps (XL 56 KiB / LARGE 48 KiB / DEFAULT 24 KiB), each above its tier high-water with real headroom. No separate new-file cap: a net-new agent is DEFAULT-tier, already bounded by the DEFAULT cap. - Keep the agent-classification tests verbatim. - scripts/workflow-size.cjs: add generic measureMdFiles(dir, predicate) (workflows + agents share one byte-measurement path); measureWorkflows now delegates to it. - scripts/update-size-baseline.cjs: one 'npm run size:baseline' now regenerates BOTH the workflow and agent baselines (gsd-* filter for agents). Rebased onto next after PR 2/3 (#1096) merged: replicate the scripts/lib/workflow-size.cjs -> scripts/workflow-size.cjs move (PR 1/3) across the generator and the agent test's require; regenerate the agent baseline against current agents (a uniform +170 B preamble drift on all 33 since authoring). Addresses the #1097 review (trek-e): - BLOCKER (acceptance criterion 5): document the agent contract in CONTEXT.md. Adds RULESET.AGENT_SIZE_BUDGET (caps 57344/49152/24576, per-agent baseline, dual size:baseline, shared measureMdFiles seam) and disambiguates it from the separate DEFECT.AGENT-FILE-SIZE-CAP-BREACH 45K-CHAR guard (two units, two purposes). - Docs: now that #1096's docs/TESTING-SUITES.md "Workflow size budget" section is in next, fold in the agent coverage here (renamed to "Workflow & agent size budget"): agent caps + per-agent baseline + the how-to + reference rows, and the disambiguation from the 45K-char guard. - Minor (negative proof): add a boundary-fixture test exercising the hard-cap comparison at cap-1/cap/cap+1 through the real lfByteCount path, so a future threshold/operator edit can't silently neuter a cap. - Nit: align the tier test name wording ("stays within") with the <= operator. Negative proof on a real tracked agent (gsd-planner): baseline catches +10 B; XL hard cap catches 57,516 > 57,344 with the baseline current. Closes #1095 (PR 3/3 child); landing this completes the #1074 epic.
GSD Core documentation
Documentation is organised into four quadrants: tutorials help you learn by doing, how-to guides solve specific tasks, reference states authoritative facts, and explanation explores concepts and design decisions.
Language versions: English · Português (pt-BR) · 日本語 · 简体中文
Tutorials
- Your first project — install to first shipped phase, one guaranteed path
- Onboarding an existing codebase — bring GSD Core to a brownfield repo
How-to guides
- Install on your runtime — runtime-specific install steps for all 16 supported runtimes
- Install a minimal GSD and add skills later — install only the core skills, then grow the surface with profiles and
/gsd:surface - Discuss a phase — capture implementation decisions before planning begins
- Plan a phase — run research, decompose work, and verify plan quality
- Execute a phase — run plans in parallel waves with fresh-context subagents
- Verify and ship — walk through completed work, diagnose failures, and create the PR
- Run phases autonomously — use autonomous mode for unattended phase execution
- Handle quick and fast tasks — use
/gsd-quickand/gsd-fastfor ad-hoc work outside the phase loop - Configure model profiles — switch between quality, balanced, and budget model tiers
- Set up cross-AI review — configure a second AI to review code produced by the primary agent
- Work in parallel with workstreams — run independent lines of work simultaneously using workstreams
- Isolate work with workspaces — use workspaces to sandbox experimental or risky changes
- Debug a failed execution — diagnose and recover from broken or incomplete phase execution
- Spike and sketch — use
/gsd-spikeand/gsd-sketchfor exploratory work before committing to a plan - Design a UI phase — use the UI phase loop for frontend and visual work
- Drive GSD from a tracker issue — start a phase from a GitHub, Linear, or Jira issue
- Migrate from GSD 2 — upgrade an existing GSD 2 project to GSD Core
- Update GSD — re-run the installer to pick up the latest release
- Clean up get-shit-done-cc — remove leftover old-package artifacts that cause a spurious
⬆ /gsd:updateindicator after migrating to@opengsd/gsd-core - Fix the worktree base-mismatch (exit 42) error — resolve the branch-divergence condition that halts parallel phase execution
- Recover and troubleshoot — fix common problems, rebuild context, and uninstall
Reference
- Commands — every command with flags and examples
- Configuration — full config schema, model profiles, git branching strategies
- CLI tools —
gsd-tools.cjsprogrammatic API for workflows and agents - Features — complete feature index
- Inventory — installed skills and surface map
- STATE.md schema — field-by-field reference for
.planning/STATE.md - CONTEXT.md schema — field-by-field reference for
.planning/phases/<N>/CONTEXT.md - PLAN.md schema — field-by-field reference for
.planning/phases/<N>/PLAN.md - Planning artifacts — all
.planning/files and their roles
Explanation
- Context engineering — how context rot forms and how GSD Core prevents it
- The phase loop — design rationale for the Discuss → Plan → Execute → Verify → Ship cycle
- Multi-agent orchestration — how subagents are spawned, scoped, and coordinated
- Security model — trust boundaries, permissions, and safe automation
- Architecture — system architecture, agent model, and data flow
- Discuss modes — assumptions mode vs interview mode for
/gsd-discuss-phase - Context monitoring — context window monitoring hook architecture
- Issue-driven orchestration — recipe for driving GSD from a tracker issue using existing primitives
Related
- Root README — landing page, quickstart, and documentation overview
- Changelog — release history