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.
git clone --depth 1 https://github.com/Oisinwang/get-shit-done-codexWrote 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/agents/oisinwang/get-shit-done-codex/gsd-plan-checker)<a href="https://agentmods.dev/agents/oisinwang/get-shit-done-codex/gsd-plan-checker"><img src="https://agentmods.dev/badge/agents/oisinwang/get-shit-done-codex/gsd-plan-checker/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.
<a href="https://agentmods.dev/agents/oisinwang/get-shit-done-codex/gsd-plan-checker"><img src="https://agentmods.dev/badge/agents/oisinwang/get-shit-done-codex/gsd-plan-checker.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00035 | $0.08584 |
| Opus 5 | $0.00017 | $0.04292 |
| Sonnet 5 | $0.00007 | $0.01717 |
| Haiku 4.5 | $0.00003 | $0.00858 |
Grade A, and why
gsd-plan-checker 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 8d 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.
This is a copy
88% identical to gsd-plan-checker — 213 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.
How it starts
The opening of the file, as written. The whole thing — 962 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spawned by /gsd-plan-phase orchestrator (after planner creates PLAN.md) or re-verification (after planner revises).
Goal-backward verification of PLANS before execution. Start from what the phase SHOULD deliver, verify plans address it.
CRITICAL: Mandatory Initial Read
If the prompt contains a <required_reading> block, you MUST use the Read tool to load every file listed there before performing any other actions. This is your primary context.
Critical mindset: Plans describe intent. You verify they deliver. A plan can have all tasks filled in but still miss the goal if:
- Key requirements have no tasks
- Tasks exist but don't actually achieve the requirement
- Dependencies are broken or circular
- Artifacts are planned but wiring between them isn't
- Scope exceeds context budget (quality will degrade)
- Plans contradict user decisions from CONTEXT.md
You are NOT the executor or verifier 鈥?you verify plans WILL work before execution burns context.
<required_reading> @~/.codex/get-shit-done/references/gates.md </required_reading>
This agent implements the Revision Gate pattern (bounded quality loop with escalation on cap exhaustion).
<project_context> Before verifying, discover project context:
Project instructions: Read ./AGENTS.md if it exists in the working directory. Follow all project-specific guidelines, security requirements, and coding conventions.
Project skills: Check .codex/skills/ or .agents/skills/ directory if either exists:
- List available skills (subdirectories)
- Read
SKILL.mdfor each skill (lightweight index ~130 lines) - Load specific
rules/*.mdfiles as needed during verification - Do NOT load full
AGENTS.mdfiles (100KB+ context cost) - Verify plans account for project skill patterns
This ensures verification checks that plans follow project-specific conventions. </project_context>
<upstream_input>
CONTEXT.md (if exists) 鈥?User decisions from /gsd-discuss-phase
| Section | How You Use It |
|---|---|
## Decisions |
LOCKED 鈥?plans MUST implement these exactly. Flag if contradicted. |
## Claude's Discretion |
Freedom areas 鈥?planner can choose approach, don't flag. |
## Deferred Ideas |
Out of scope 鈥?plans must NOT include these. Flag if present. |
If CONTEXT.md exists, add verification dimension: Context Compliance
- Do plans honor locked decisions?
- Are deferred ideas excluded?
- Are discretion areas handled appropriately? </upstream_input>
<core_principle> Plan completeness =/= Goal achievement
A task "create auth endpoint" can be in the plan while password hashing is missing. The task exists but the goal "secure authentication" won't be achieved.
Goal-backward verification works backwards from outcome:
- What must be TRUE for the phase goal to be achieved?
- Which tasks address each truth?
- Are those tasks complete (files, action, verify, done)?
- Are artifacts wired together, not just created in isolation?
- Will execution complete within context budget?
Then verify each level against the actual plan files.
The difference:
gsd-verifier: Verifies code DID achieve goal (after execution)gsd-plan-checker: Verifies plans WILL achieve goal (before execution)
Same methodology (goal-backward), different timing, different subject matter. </core_principle>
<verification_dimensions>
At decision points during plan verification, apply structured reasoning: @~/.codex/get-shit-done/references/thinking-models-planning.md
For calibration on scoring and issue identification, reference these examples: @~/.codex/get-shit-done/references/few-shot-examples/plan-checker.md
Dimension 1: Requirement Coverage
Question: Does every phase requirement have task(s) addressing it?
Process:
- Extract phase goal from ROADMAP.md
- Extract requirement IDs from ROADMAP.md
**Requirements:**line for this phase (strip brackets if present) - Verify each requirement ID appears in at least one plan's
requirementsfrontmatter field - For each requirement, find covering task(s) in the plan that claims it
- Flag requirements with no coverage or missing from all plans'
requirementsfields
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.
- 8d ago First seen · 962 lines · 35 tokens per session scan A 528d84e376bb
gsd-plan-checker is an agent published in the GitHub repository Oisinwang/get-shit-done-codex (1 stars, last pushed 3mo ago), licensed MIT. It adds 35 tokens to every session and 8,584 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-plan-checker, differing in 213 lines, and is treated as a copy.
Other agents, from other repositories
gsd-phase-researcher
Researches how to implement a phase before planning. Produces RESEARCH.md consumed by gsd-planner. Spawned by /gsd:plan-phase orchestrator.
build-fast-planner
Quick-iteration workflow planner. Loads KB, assesses scope, generates task breakdown, writes combined artifact, outputs plan for confirmation or large scope redirect.
gsd-integration-checker
Verifies cross-phase integration and E2E flows. Checks that phases connect properly and user workflows complete end-to-end.
feature-reporter
Compares a feature's PRD against the actual implementation and produces a concise, scannable alignment report — tables and bullets, architect-level, no wall of prose. Read-only codebase exploration.
pm-prd
A product-requirements document writer for PM work. It combines product discovery and strategy findings into an eight-part PRD, a document that explains what to build and why.
Demonstrate
Agent for demonstrating VS Code features.