estimate

estimate is a skill for Claude Code, Codex from HolyMonkey/youtube-example-ai-studio. It costs 28 tokens per session (1,497 once invoked), scanned A, a copy of estimate, MIT.

An effort-estimation guide that assesses a coding task by looking at its complexity, dependencies, past project speed, and risks.

In plain words
What is it for?
Use it to estimate implementation work, inspect affected code and tests, compare similar past tasks, and identify factors that may change the estimate.
Why use it?
It helps turn a task description into a realistic time or effort expectation and shows how certain that estimate is.

Skill for Claude CodeCodex

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/holymonkey/youtube-example-ai-studio/estimate
Any agent
npx skills add HolyMonkey/youtube-example-ai-studio --skill estimate
Clone the repo
git clone --depth 1 https://github.com/HolyMonkey/youtube-example-ai-studio

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 estimate

README.md
[![agentmods](https://agentmods.dev/badge/skills/holymonkey/youtube-example-ai-studio/estimate.svg)](https://agentmods.dev/skills/holymonkey/youtube-example-ai-studio/estimate)
Your own site
<a href="https://agentmods.dev/skills/holymonkey/youtube-example-ai-studio/estimate"><img src="https://agentmods.dev/badge/skills/holymonkey/youtube-example-ai-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 1,497 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 100% copy Near-identical to another mod 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 $0.00028 $0.01497
Opus 5 $0.00014 $0.00749
Sonnet 5 $0.00006 $0.00299
Haiku 4.5 $0.00003 $0.00150

Measured 5d ago against content hash 4b40cd30a3e8, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, 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.

Origin

This is a copy

100% identical to estimate — 2 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.

.claude/skills/estimate/SKILL.md · 164 lines

How it starts

The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When this skill is invoked:

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

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

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

  4. Scan the codebase to understand the systems affected by this task:

    • Identify files and modules that would need to change
    • Assess the complexity of those files (size, dependency count, cyclomatic complexity)
    • Identify integration points with other systems
    • Check for existing test coverage in the affected areas
  5. Read past sprint data from production/sprints/ if available:

    • Look for similar completed tasks and their actual effort
    • Calculate historical velocity (planned vs actual)
    • Identify any estimation bias patterns (consistently over or under)
  6. Analyze the following 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
  7. 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, e.g., 70% new / 30% modification] | |
| Integration points | [Count] | [Which systems interact] |
| Test coverage needed | [Low / Medium / High] | [Unit, integration, manual] |
| Existing patterns available | [Yes / Partial / No] | [Can follow existing code or new ground] |

**Key files likely affected:**
- `[path/to/file1]` -- [what changes here]
- `[path/to/file2]` -- [what changes here]
- `[path/to/file3]` -- [what changes here]

### Effort Estimate

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

**Recommended budget: [Y days]**

[If historical data is available: "Based on [N] similar tasks that averaged
[X] days actual vs [Y] days estimated, a [correction factor] adjustment has
been applied."]

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

**High** -- Clear requirements, familiar systems, follows existing patterns,
similar tasks completed before.

**Medium** -- Some unknowns, touches moderately complex systems, partial
precedent from previous work.

**Low** -- Significant unknowns, new technology, unclear requirements, or
cross-cutting concerns across many systems.

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

### Risk Factors

| Risk | Likelihood | Impact | Mitigation |
|------|-----------|--------|------------|
| [Specific risk] | [High/Med/Low] | [Days added if realized] | [How to reduce] |
| [Another risk] | [Likelihood] | [Impact] | [Mitigation] |

### Dependencies

| Dependency | Status | Impact if Delayed |
|-----------|--------|-------------------|
| [What must be done first] | [Done / In Progress / Not Started] | [How it affects this task] |

### Suggested Breakdown

| # | Sub-task | Estimate | Notes |
|---|----------|----------|-------|
| 1 | [Research / spike] | [X days] | [If unknowns need investigation first] |
| 2 | [Core implementation] | [X days] | [The main work] |
| 3 | [Integration with system X] | [X days] | [Connecting to existing code] |
| 4 | [Testing and validation] | [X days] | [Writing tests, manual verification] |
| 5 | [Code review and iteration] | [X days] | [Review feedback, fixes] |
| | **Total** | **[Y days]** | |

### Historical Comparison
[If similar tasks exist in sprint history:]

| Similar Task | Estimated | Actual | Relevant Difference |
|-------------|-----------|--------|-------------------|
| [Past task 1] | [X days] | [Y days] | [What makes it similar/different] |
| [Past task 2] | [X days] | [Y days] | [What makes it similar/different] |

### Notes and Assumptions
- [Key assumption that affects the estimate]
- [Another assumption]
- [Any caveats about scope boundaries -- what is included vs excluded]
- [Recommendations: e.g., "Consider a spike first if requirement X is unclear"]

Read the full file on GitHub · 164 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. 5d ago First seen · 164 lines · 28 tokens per session scan A 4b40cd30a3e8

Subscribe to this mod's changes

estimate is a skill published in the GitHub repository HolyMonkey/youtube-example-ai-studio (11 stars, last pushed 5mo ago), licensed MIT. It adds 28 tokens to every session and 1,497 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to estimate, differing in 2 lines, and is treated as a copy.

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