gsd-review

gsd-review is a skill for Codex from lalitnayyar/finally. It costs 18 tokens per session (741 once invoked), scanned A, original, MIT.

A peer-review workflow that asks other AI command-line tools to examine plans for a project phase.

In plain words
What is it for?
Use it to send phase plans to external AI tools for review and compare their feedback.
Why use it?
It provides additional viewpoints before you act on a plan, helping reveal unclear or overlooked issues.

Skill for Codex

Written for Codex: installed under .codex/. Also seen: names the AskUserQuestion tool; mentions Claude Code; mentions Codex.

Good fit Use it to send phase plans to external AI tools for review and compare their feedback.

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Install with agentmods
npx agentmods add skills/lalitnayyar/finally/gsd-review
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.

Any agent
npx skills add lalitnayyar/finally --skill gsd-review
Clone the repo
git clone --depth 1 https://github.com/lalitnayyar/finally

Made for: Codex.

Wrote 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.

agentmods badge for gsd-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/lalitnayyar/finally/gsd-review/github.svg)](https://agentmods.dev/skills/lalitnayyar/finally/gsd-review)
Your own site
<a href="https://agentmods.dev/skills/lalitnayyar/finally/gsd-review"><img src="https://agentmods.dev/badge/skills/lalitnayyar/finally/gsd-review/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.

agentmods 80×15 button for gsd-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/lalitnayyar/finally/gsd-review"><img src="https://agentmods.dev/badge/skills/lalitnayyar/finally/gsd-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 18 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 741 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found 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 5.1 $0.00018 $0.00741
Opus 5.5 $0.00007 $0.00296
Sonnet 5.5 $0.00004 $0.00148
Haiku 4.5 $0.00002 $0.00074

Measured 13d ago against content hash 0f66239dd935, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gsd-review 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 13d 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.

.codex/skills/gsd-review/SKILL.md · 74 lines

How it starts

The opening of the file, as written. The whole thing — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.

<codex_skill_adapter>

A. Skill Invocation

  • This skill is invoked by mentioning $gsd-review.
  • Treat all user text after $gsd-review as {{GSD_ARGS}}.
  • If no arguments are present, treat {{GSD_ARGS}} as empty.

B. AskUserQuestion → request_user_input Mapping

GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:

Parameter mapping:

  • header → header
  • question → question
  • Options formatted as "Label" — description → {label: "Label", description: "description"}
  • Generate id from header: lowercase, replace spaces with underscores

Batched calls:

  • AskUserQuestion([q1, q2]) → single request_user_input with multiple entries in questions[]

Multi-select workaround:

  • Codex has no multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.

Execute mode fallback:

  • When request_user_input is rejected (Execute mode), present a plain-text numbered list and pick a reasonable default.

C. Task() → spawn_agent Mapping

GSD workflows use Task(...) (Claude Code syntax). Translate to Codex collaboration tools:

Direct mapping:

  • Task(subagent_type="X", prompt="Y") → spawn_agent(agent_type="X", message="Y")
  • Task(model="...") → omit (Codex uses per-role config, not inline model selection)
  • fork_context: false by default — GSD agents load their own context via <files_to_read> blocks

Parallel fan-out:

  • Spawn multiple agents → collect agent IDs → wait(ids) for all to complete

Result parsing:

  • Look for structured markers in agent output: CHECKPOINT, PLAN COMPLETE, SUMMARY, etc.
  • close_agent(id) after collecting results from each agent </codex_skill_adapter>

Flow: Detect CLIs → Build review prompt → Invoke each CLI → Collect responses → Write REVIEWS.md

Read the full file on GitHub · 74 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. 13d ago First seen · 74 lines · 18 tokens per session scan A 0f66239dd935

Subscribe to this mod's changes

gsd-review is a skill published in the GitHub repository lalitnayyar/finally (0 stars, last pushed 6mo ago), licensed MIT. It adds 18 tokens to every session and 741 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-10-03.

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