estimate

estimate is a skill for Codex from frabcd/codex-ai-game-studio. It costs 28 tokens per session (1,066 once invoked), scanned A, original, MIT.

A task-planning tool that estimates how difficult and time-consuming a development task may be. It examines the affected code, dependencies, tests, past project work, and sources of risk, and reports confidence in the estimate.

In plain words
What is it for?
Use it to estimate a specific coding task, identify the files and systems it may affect, and assess complexity and risks. It is intended for planning work against the project’s existing architecture and past sprint history.
Why use it?
It makes hidden work visible before development starts, such as tightly connected code, missing tests, or engine-level changes. If the task description is too vague, it identifies that an estimate would not be meaningful yet.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions subagents; mentions AGENTS.md; mentions Codex.

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.

agentmods
npx agentmods add skills/frabcd/codex-ai-game-studio/estimate
Any agent
npx skills add frabcd/codex-ai-game-studio --skill estimate
Clone the repo
git clone --depth 1 https://github.com/frabcd/codex-ai-game-studio

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 estimate

README.md
[![agentmods](https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/estimate.svg)](https://agentmods.dev/skills/frabcd/codex-ai-game-studio/estimate)
Your own site
<a href="https://agentmods.dev/skills/frabcd/codex-ai-game-studio/estimate"><img src="https://agentmods.dev/badge/skills/frabcd/codex-ai-game-studio/estimate.svg" alt="Measured on agentmods" height="20"></a>
Per session 28 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,066 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00028 $0.01066
Opus 5 $0.00014 $0.00533
Sonnet 5 $0.00006 $0.00213
Haiku 4.5 $0.00003 $0.00107

Measured 5d ago against content hash d28fbb64126f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

estimate 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 5d 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.

plugins/ai-game-studio/skills/estimate/SKILL.md · 135 lines

How it starts

The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Port provenance: adapted from the pinned upstream source at 984023ddac0d5e27624f2baacde6105e45de375f under MIT; see the repository parity ledger for the exact path and blob.

Phase 1: Understand the Task

Read the task description from the argument. If the description is too vague to estimate meaningfully, ask for clarification before proceeding.

Read AGENTS.md for project context: tech stack, coding standards, architectural patterns, and any estimation guidelines.

Read relevant design documents from design/gdd/ if the task relates to a documented feature or system.


Phase 2: Scan Affected Code

Identify files and modules that would need to change:

  • Assess complexity (size, dependency count, cyclomatic complexity)
  • Identify integration points with other systems
  • Check for existing test coverage in the affected areas
  • Read past sprint data from production/sprints/ for similar completed tasks and historical velocity

Phase 3: Analyze Complexity Factors

Code Complexity:

  • Lines of code in affected files
  • Number of dependencies and coupling level
  • Whether this touches core/engine code vs leaf/feature code
  • Whether existing patterns can be followed or new patterns are needed

Scope:

  • Number of systems touched
  • New code vs modification of existing code
  • Amount of new test coverage required
  • Data migration or configuration changes needed

Risk:

  • New technology or unfamiliar libraries
  • Unclear or ambiguous requirements
  • Dependencies on unfinished work
  • Cross-system integration complexity
  • Performance sensitivity

Phase 4: Generate the Estimate

## Task Estimate: [Task Name]
Generated: [Date]

### Task Description
[Restate the task clearly in 1-2 sentences]

### Complexity Assessment

| Factor | Assessment | Notes |
|--------|-----------|-------|
| Systems affected | [List] | [Core, gameplay, UI, etc.] |
| Files likely modified | [Count] | [Key files listed below] |
| New code vs modification | [Ratio] | |
| Integration points | [Count] | [Which systems interact] |
| Test coverage needed | [Low / Medium / High] | |
| Existing patterns available | [Yes / Partial / No] | |

**Key files likely affected:**
- `[path/to/file1]` -- [what changes here]

### Effort Estimate

| Scenario | Days | Assumption |
|----------|------|------------|
| Optimistic | [X] | Everything goes right, no surprises |
| Expected | [Y] | Normal pace, minor issues, one round of review |
| Pessimistic | [Z] | Significant unknowns surface, blocked for a day |

**Recommended budget: [Y days]**

### Confidence: [High / Medium / Low]

[Explain which factors drive the confidence level for this specific task.]

### Risk Factors

| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|

### Dependencies

| Dependency | Status | Impact if Delayed |
|-----------|--------|-------------------|

### Suggested Breakdown

| # | Sub-task | Estimate | Notes |
|---|----------|----------|-------|
| 1 | [Research / spike] | [X days] | |
| 2 | [Core implementation] | [X days] | |
| 3 | [Testing and validation] | [X days] | |
| | **Total** | **[Y days]** | |

### Notes and Assumptions
- [Key assumption that affects the estimate]
- [Any caveats about scope boundaries]

Read the full file on GitHub · 135 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 5d ago First seen · 135 lines · 28 tokens per session scan A d28fbb64126f

Subscribe to this mod's changes

estimate is a skill published in the GitHub repository frabcd/codex-ai-game-studio (9 stars, last pushed 5d ago), licensed MIT. It adds 28 tokens to every session and 1,066 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 2026-08-31.

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