using-entire

using-entire is a skill for Claude Code from chrisdoc/hevy-mcp. It costs 132 tokens per session (1,749 once invoked), scanned A, original, MIT.

A workflow for researching and understanding an existing codebase by first checking its recorded agent history. Entire checkpoints store earlier prompts, transcripts, and decisions about changes.

In plain words
What is it for?
It is for investigating unfamiliar code, researching how a module works, preparing refactors, and finding the intent behind existing implementation decisions.
Why use it?
It helps explain why code exists before relying only on guesses from the current file structure, which can be misleading when preparing a change or debugging.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: installed under .agents/ (shared by several agents); mentions Codex.

Part of the hevy-mcp plugin — 11 skills, 2 MCP servers shipped together

Good fit It is for investigating unfamiliar code, researching how a module works, preparing refactors, and finding the intent behind existing implementation decisions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chrisdoc/hevy-mcp/using-entire
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 chrisdoc/hevy-mcp --skill using-entire
Clone the repo
git clone --depth 1 https://github.com/chrisdoc/hevy-mcp

Made for: Claude Code.

Or install hevy-mcp, the plugin that ships this one along with the rest of its 11 skills, 2 MCP servers.

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 using-entire

README.md
[![agentmods](https://agentmods.dev/badge/skills/chrisdoc/hevy-mcp/using-entire/github.svg)](https://agentmods.dev/skills/chrisdoc/hevy-mcp/using-entire)
Your own site
<a href="https://agentmods.dev/skills/chrisdoc/hevy-mcp/using-entire"><img src="https://agentmods.dev/badge/skills/chrisdoc/hevy-mcp/using-entire/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 using-entire

Your own site · 80×15
<a href="https://agentmods.dev/skills/chrisdoc/hevy-mcp/using-entire"><img src="https://agentmods.dev/badge/skills/chrisdoc/hevy-mcp/using-entire.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,749 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 $0.00132 $0.01749
Opus 5.5 $0.00053 $0.00700
Sonnet 5.5 $0.00026 $0.00350
Haiku 4.5 $0.00013 $0.00175

Measured 1mo ago against content hash 97089b6cf325, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

using-entire 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

.agents/skills/using-entire/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Using Entire

Your default when exploring or understanding code should be: read the recorded intent, don't guess.

Entire checkpoints capture the prompts, transcripts, and decisions behind every agent-driven change. When you need to understand why code exists or how a module evolved, look up the checkpoint history first. Only fall back to inference from code structure when no history is available — and label that explicitly.

When This Skill Activates

Use this skill whenever the task involves:

  • A request phrased as "research X", "investigate X", "look into X", "dig into X", or "find out how X works"
  • Exploring or understanding an unfamiliar module or file
  • Preparing to refactor, extend, or debug code you didn't write
  • Answering "why is this like this?" or "what was the intent?"
  • Doing pre-work research before making changes
  • Any codebase exploration where historical context would help

For a research- or investigate-shaped request, the very first action is an entire search via the search skill. Do not open source files or grep first; the recorded history says what was tried and why, and code reads come after to confirm it.

Do not use this skill for simple, well-understood edits where you already have full context (e.g. "add a comment to line 5").

First Step: Check Repository Status

Before diving into specific lookups, check whether Entire is available and the repository has checkpoint history:

entire status

This tells you whether Entire is enabled, which git hooks are installed, whether the metadata branch is initialized, and any active sessions on the current branch.

Scenario Routing

When this skill activates, determine which sub-skill best fits the user's need:

Scenario Typical user expressions Delegate to
Code block provenance "why is this like this" / "wtf is going on" / "what happened at src/auth.ts:42" / "tell me why this changed" what-happened
Research or investigate a topic "research X" / "investigate X" / "look into X" / "dig into X" / "what do we know about X" search first, then this skill's exploration flow if needed
Find prior work "has anyone done X before" / "search past work for rate limiting" / "find the previous implementation" search
Recall a task playbook "have we done this before" / "recall how we did X" / "how did we do this last time" recall
Replay feature history "replay " / "walk me through how X was built" / "show me the journey of Y" replay
Teach a repo topic "teach me " / "how does work in this repo" / "give me a lesson on X" teach
Understand original intent "explain this function" / "explain parseConfig" / "what was the intent behind src/auth.ts" explain
Generate a dispatch / summary "summarize recent work" / "generate a dispatch" / "what was accomplished this week" run entire dispatch directly
Code review with intent context "review these changes" / "review this branch" / "audit before merging" review
Hand off to another agent "hand off this session" / "continue in another agent" / "pick up the codex session" session-handoff
Convert session to skill "turn this into a skill" / "make a skill from this session" session-to-skill
Link session to other repos "link session to other repos" / "attach session to the foo repo" session-crosslink
General exploration "understand this module" / "explore how auth works" / "help me understand the codebase" (self — see below)

Read the full file on GitHub · 166 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. 1mo ago First seen · 166 lines · 132 tokens per session scan A 97089b6cf325

Subscribe to this mod's changes

using-entire is a skill published in the GitHub repository chrisdoc/hevy-mcp (523 stars, last pushed 2d ago), licensed MIT. It adds 132 tokens to every session and 1,749 once invoked, about $0.0005 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 2026-09-07.

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