resume SKILL.md skillA

resume from shweta-mishra-ai/tokenmizer is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add shweta-mishra-ai/tokenmizer/resume@git:20260911.15f5b03

Pins git:20260911.15f5b03 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
shweta-mishra-ai/tokenmizer
Path
.claude-plugin/skills/resume/SKILL.md
Versions recorded
2
Latest version
git:20260911.15f5b03, committed Sep 11, 2026
First version recorded
Jun 11, 2026
Size
1,949 bytes
Repository stars
34
License
MIT

Load a previous session from TokenMizer graph memory. Returns a compact context block (100-600 tokens) covering goals, completed work, decisions, open tasks, and files. Inject this as system context to continue exactly where you left off. Use when user says "resume", "continue from last time", "load my project", "what did we do on X", or starts a session on a known project.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file 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

```bash
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
```
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add shweta-mishra-ai/tokenmizer/resume@sha256:79cb85cd54d06a08

The line at the top of this page pins the label git:20260911.15f5b03, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_asmreydutnm37s5l.svg)](https://markdownregistry.com/a/art_asmreydutnm37s5l)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Jun 11, 2026 and Sep 11, 2026, about one every 93 days.

versioncommittedcommitsizeaudit
git:20260911.15f5b03 latest2026-09-11 15f5b03 1,949 BA view · diff
git:20260611.1d9847e2026-06-11 1d9847e 1,889 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (1949 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

shweta-mishra-ai/tokenmizer · 34 stars · license MIT · pushed 2026-10-29 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_asmreydutnm37s5l
GET https://markdownregistry.com/api/v1/resolve?ref=shweta-mishra-ai/tokenmizer/resume
GET https://markdownregistry.com/api/v1/blob/79cb85cd54d06a08dfadcfa31194672465365f48dea933f10a137ee906947eff

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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