resume

resume is a skill for Claude Code from Shweta-Mishra-ai/tokenmizer. It costs 86 tokens per session (472 once invoked), scanned A, original, MIT.

A command for loading a saved TokenMizer session into a new conversation. TokenMizer is a system that stores project context, decisions, files, and unfinished tasks.

In plain words
What is it for?
It is for resuming a saved session at a chosen detail level: critical, standard, or full.
Why use it?
You do not have to reconstruct the project history by hand after an interruption or new session. It returns a short context summary so work can continue from the previous stopping point.

Skill for Claude Code

Written for Claude Code: $ARGUMENTS substitution.

Part of the tokenmizer plugin — 4 skills, 1 MCP server shipped together

Good fit It is for resuming a saved session at a chosen detail level: critical, standard, or full.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/shweta-mishra-ai/tokenmizer/resume
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 Shweta-Mishra-ai/tokenmizer --skill resume
Clone the repo
git clone --depth 1 https://github.com/Shweta-Mishra-ai/tokenmizer

Made for: Claude Code.

Or install tokenmizer, the plugin that ships this one along with the rest of its 4 skills, 1 MCP server.

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 resume

README.md
[![agentmods](https://agentmods.dev/badge/skills/shweta-mishra-ai/tokenmizer/resume/github.svg)](https://agentmods.dev/skills/shweta-mishra-ai/tokenmizer/resume)
Your own site
<a href="https://agentmods.dev/skills/shweta-mishra-ai/tokenmizer/resume"><img src="https://agentmods.dev/badge/skills/shweta-mishra-ai/tokenmizer/resume/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 resume

Your own site · 80×15
<a href="https://agentmods.dev/skills/shweta-mishra-ai/tokenmizer/resume"><img src="https://agentmods.dev/badge/skills/shweta-mishra-ai/tokenmizer/resume.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 86 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 472 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 $0.00086 $0.00472
Opus 5.5 $0.00034 $0.00189
Sonnet 5.5 $0.00017 $0.00094
Haiku 4.5 $0.00009 $0.00047

Measured 1mo ago against content hash 79cb85cd54d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

resume 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.

.claude-plugin/skills/resume/SKILL.md · 63 lines

What it actually says

Load a previous session from TokenMizer graph memory.

Session ID

Do not ask for one. The first word of $ARGUMENTS is the session ID. If $ARGUMENTS is empty, TokenMizer derives the ID from the working directory name, the same way checkpoint does, and prints the ID it chose.

Ask only if the command exits 2, which means the directory has no usable name to derive from. Then ask exactly: Which session ID should I resume?

Level

The second word of $ARGUMENTS, if present:

Level Size Contents
critical ~100 tokens open blockers and key decisions only
standard ~300 tokens the default
full ~600 tokens adds environment, schemas, endpoints

What to do

tokenmizer resume $ARGUMENTS

Then inject the returned resume context as a system message at the top of the conversation, never as a user message, in this wrapper:

[TokenMizer — session: {session_id}]
{resume_context}
[End of session context — continue from here]

Output

Report in exactly this shape:

Resumed auth-service — 247 tokens, standard
Next: implement the token refresh endpoint

Take Next from the resume context's continue line. If it has none, omit the line rather than inventing one. Add no commentary, and do not address the operator by name.

If no checkpoint is found

The command exits 1 and prints what happened. Relay that, then:

Nothing saved for auth-service yet. Save the current session first:
  tokenmizer checkpoint auth-service
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 Changed · +13 lines 79cb85cd54d0
  2. 1mo ago First seen · 50 lines · 86 tokens per session scan A e9731ab026f5

Subscribe to this mod's changes

resume is a skill published in the GitHub repository Shweta-Mishra-ai/tokenmizer (34 stars, last pushed 3d ago), licensed MIT. It adds 86 tokens to every session and 472 once invoked, about $0.0003 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 2026-08-30.

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