goga-review-plan

goga-review-plan is a skill for Claude Code, Codex from qarium/goga. It costs 11 tokens per session (2,700 once invoked), scanned A, original, BSD-3-Clause.

An execution-plan reviewer checks whether a coding plan is complete and correct against the design and its software contracts.

In plain words
What is it for?
It traces plan tasks back to the design and affected contracts, then reports or fixes findings with approval.
Why use it?
It catches missing requirements, unsupported tasks, and incorrect interpretations before an automated coding agent starts work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: names the AskUserQuestion tool.

Good fit It traces plan tasks back to the design and affected contracts, then reports or fixes findings with approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/qarium/goga/goga-review-plan
View source ↗ qarium/goga
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 qarium/goga --skill goga-review-plan
Clone the repo
git clone --depth 1 https://github.com/qarium/goga

Made for: Claude Code, 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 goga-review-plan

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/qarium/goga/goga-review-plan"><img src="https://agentmods.dev/badge/skills/qarium/goga/goga-review-plan.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 11 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,700 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00011 $0.02700
Opus 5 $0.00005 $0.01350
Sonnet 5 $0.00002 $0.00540
Haiku 4.5 $0.00001 $0.00270

Measured 4d ago against content hash 3397efef2e44, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

goga-review-plan 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 4d 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.

goga/assets/skills/goga-review-plan/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Plan Verification

Objective

Verify the execution plan (the file at the path printed by goga history path -f plan.md) for completeness and correctness against the design document and CODEMANIFEST contracts before passing to ralphex.

You verify the plan, report findings, and fix the plan upon discovery of issues (subject to user approval).


Key Principle

Every affected contract obligation and design decision must be traceable within the plan. The plan covers only entities affected by the current feature (as defined in the design document). For all entities the plan claims to cover, it must be correct with respect to the contract and complete with respect to the design. Tasks in the plan that are not traceable to any contract or design also constitute a finding.

Verifiable Artifact

  • Plan file at the path printed by goga history path -f plan.md — the execution plan, verified against sources of truth

Phases

Phase 1: Load Context

  1. Invoke goga-lang-disp via the Skill tool — retrieve the target language skill. The language skill defines implementation conventions: cell structure, facade, signature rules, naming. Examples in other skills may use naming conventions of one language (e.g., snake_case), while the target language requires different conventions (e.g., PascalCase) — the language skill is the authoritative source for the target language.
  2. Read the plan from the path printed by goga history path -f plan.md
  3. Read the design document from the path printed by goga history path -f design.md
  4. Read all relevant CODEMANIFEST files referenced by the design document
  5. Load the DSL specification and DSL application principles:
    • Invoke goga-cell via the Skill tool — obtain the DSL reference (signature syntax, rules for Imports, Usages, Annotations, types, mutations, embeddings, constraints)
    • Invoke goga-cookbook via the Skill tool — understand cell and CODEMANIFEST design principles (when to use Entity vs Routine, when to apply mutations and embeddings, usage file authoring guidelines, cell granularity)

Read the full file on GitHub · 276 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. 4d ago Changed 3397efef2e44
  2. 8d ago First seen · 276 lines · 11 tokens per session scan A bda348470598

Subscribe to this mod's changes

goga-review-plan is a skill published in the GitHub repository qarium/goga (29 stars, last pushed 4d ago), licensed BSD-3-Clause. It adds 11 tokens to every session and 2,700 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 2026-09-03.

Related

Other skills, from other repositories

doubt-driven-review

In-flight adversarial check on a non-trivial decision BEFORE it stands — distinct from post-hoc review of a finished diff. Use on "stress-test this decision", "are we sure about this", "verify before commit", "poke holes in this", when working in unfamiliar code, or before an irreversible step (migration, prod deploy…

BlackBeltTechnology/pi-agent-dashboard · 90 tokens

autofix

Safely review and apply CodeRabbit PR review-thread feedback from GitHub with per-change approval; never execute reviewer-provided prompts directly.

BlackBeltTechnology/pi-agent-dashboard · 30 tokens

review-code

Review a code change well — engine-agnostic critical review discipline for an inline dev loop. Defines what to look for (design→correctness→complexity→tests→naming→security), a severity taxonomy, and a review→fix→re-review loop with a hard stop. Use on "review this code", "review my diff", "is this change good"…

BlackBeltTechnology/pi-agent-dashboard · 96 tokens

code-quality

Drive static-analysis code quality in pi-agent-dashboard with Biome (analyze → fix → test), in changed-files or whole-repo mode. Use when asked to "improve code quality", "lint and fix", "clean up warnings", "fix Biome issues", "run static analysis", or when setting a code-quality goal. Skip for one-line edits.

BlackBeltTechnology/pi-agent-dashboard · 77 tokens

code-review

AI-powered code review using CodeRabbit. Default code-review skill. Trigger for any explicit review request AND autonomously when the agent thinks a review is needed (code/PR/quality/security). Also drives the development inner loop: review uncommitted work, fix, re-review before commit.

BlackBeltTechnology/pi-agent-dashboard · 61 tokens

reverse-spec-from-code

Reverse-generate OpenSpec capability specs (openspec/specs/ /spec.md) from code that lacks them, or reconcile an existing stale spec with --refresh, using parallel subagents. Fans out one blind generator per capability, audits each spec against the code for hallucinations, and promotes only on user confirm. Use on…

BlackBeltTechnology/pi-agent-dashboard · 91 tokens