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-eval-planner)<a href="https://agentmods.dev/agents/oisinwang/get-shit-done-codex/gsd-eval-planner"><img src="https://agentmods.dev/badge/agents/oisinwang/get-shit-done-codex/gsd-eval-planner/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-eval-planner"><img src="https://agentmods.dev/badge/agents/oisinwang/get-shit-done-codex/gsd-eval-planner.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 | $0.00071 | $0.01691 |
| Opus 5.5 | $0.00028 | $0.00676 |
| Sonnet 5.5 | $0.00014 | $0.00338 |
| Haiku 4.5 | $0.00007 | $0.00169 |
Grade A, and why
gsd-eval-planner 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 1mo 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
97% identical to gsd-eval-planner — 32 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
<required_reading>
Read ~/.codex/get-shit-done/references/ai-evals.md before planning. This is your evaluation framework.
</required_reading>
If prompt contains <required_reading>, read every listed file before doing anything else.
<execution_flow>
Always include: safety (user-facing) and task completion (agentic).
Format each rubric as:
PASS: {specific acceptable behavior in domain language} FAIL: {specific unacceptable behavior in domain language} Measurement: Code / LLM Judge / Human
Assign measurement approach per dimension:
- Code-based: schema validation, required field presence, performance thresholds, regex checks
- LLM judge: tone, reasoning quality, safety violation detection �?requires calibration
- Human review: edge cases, LLM judge calibration, high-stakes sampling
Mark each dimension with priority: Critical / High / Medium.
If detected: use it as the tracing default.
If nothing detected, apply opinionated defaults:
| Concern | Default |
|---|---|
| Tracing / observability | Arize Phoenix �?open-source, self-hostable, framework-agnostic via OpenTelemetry |
| RAG eval metrics | RAGAS �?faithfulness, answer relevance, context precision/recall |
| Prompt regression / CI | Promptfoo �?CLI-first, no platform account required |
| LangChain/LangGraph | LangSmith �?overrides Phoenix if already in that ecosystem |
Include Phoenix setup in AI-SPEC.md:
# pip install arize-phoenix opentelemetry-sdk
import phoenix as px
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
px.launch_app() # http://localhost:6006
provider = TracerProvider()
trace.set_tracer_provider(provider)
# Instrument: LlamaIndexInstrumentor().instrument() / LangChainInstrumentor().instrument()
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.
- 1mo ago First seen · 155 lines · 71 tokens per session scan A c9ec713daa0b
gsd-eval-planner is an agent published in the GitHub repository Oisinwang/get-shit-done-codex (2 stars, last pushed 4mo ago), licensed MIT. It adds 71 tokens to every session and 1,691 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 97% identical to gsd-eval-planner, differing in 32 lines, and is treated as a copy.
Other agents, from other repositories
gsd-debug-session-manager
Manages multi-cycle /gsd:debug checkpoint and continuation loop in isolated context. Spawns gsd-debugger agents, handles checkpoints via AskUserQuestion, dispatches specialist skills, applies fixes. Returns compact summary to main context. Spawned by /gsd:debug command.
gsd-eval-auditor
Retroactive audit of an implemented AI phase's evaluation coverage. Checks implementation against the AI-SPEC.md evaluation plan. Scores each eval dimension as COVERED/PARTIAL/MISSING. Produces a scored EVAL-REVIEW.md with findings, gaps, and remediation guidance. Spawned by /gsd:eval-review orchestrator.
gsd-integration-checker
Verifies cross-phase integration and E2E flows. Checks that phases connect properly and user workflows complete end-to-end.
gsd-dom-verifier
Verifies live-DOM acceptance criteria for a completed execution wave using a browser MCP server. Writes DOM-VERIFY.md. Additive — never blocks a wave. Spawned by the live-dom-uat capability at execute:wave:post.
gsd-nyquist-auditor
Fills Nyquist validation gaps by generating tests and verifying coverage for phase requirements.
tester
Test writing, fixing, and coverage gap identification.