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.
npx skills add Shweta-Mishra-ai/tokenmizer --skill resumegit clone --depth 1 https://github.com/Shweta-Mishra-ai/tokenmizerWrote 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.
[](https://agentmods.dev/skills/shweta-mishra-ai/tokenmizer/resume)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00086 | $0.00466 |
| Opus 5 | $0.00043 | $0.00233 |
| Sonnet 5 | $0.00017 | $0.00093 |
| Haiku 4.5 | $0.00009 | $0.00047 |
Grade A, and why
resume scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s "http://localhost:8000/api/resume/${SESSION_ID}?level=${LEVEL}" What it actually says
Load a previous session from TokenMizer graph memory.
What to do
-
Get the session ID from $ARGUMENTS (or ask the user if not provided)
-
Determine the level from $ARGUMENTS:
critical= ~100 tokens, only open blockers + key decisionsstandard= ~300 tokens, normal resume (default)full= ~600 tokens, everything including env, schemas, endpoints
-
Call the TokenMizer resume API:
SESSION_ID=$(echo "$ARGUMENTS" | awk '{print $1}')
LEVEL=$(echo "$ARGUMENTS" | awk '{print $2}')
LEVEL=${LEVEL:-standard}
curl -s "http://localhost:8000/api/resume/${SESSION_ID}?level=${LEVEL}"
-
Inject the returned
resume_contextas a system message at the top of the conversation — NOT as a user message. -
Tell the user: "Loaded [X] tokens of context for '[session-id]'. Continuing from: [next_action]"
Format for system injection
[TokenMizer — session: {session_id}]
{resume_context}
[End of session context — continue from here]
If no checkpoint found
Tell the user: "No checkpoint found for '[session-id]'. Either the session hasn't been checkpointed yet, or TokenMizer isn't running."
Suggest: tokenmizer checkpoint {session-id} to save the current session first.
Examples of $ARGUMENTS
auth-service→ load standard resume for auth-serviceauth-service full→ load full 600-token resumeauth-service critical→ load critical 100-token resume- (empty) → ask user which project to resume
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.
- 11d ago First seen · 50 lines · 86 tokens per session scan A e9731ab026f5
resume is a skill published in the GitHub repository Shweta-Mishra-ai/tokenmizer (30 stars, last pushed 23d ago), licensed MIT. It adds 86 tokens to every session and 466 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
cdb-scan
Map this codebase into project memory — a code graph of every symbol and how they connect, plus a written profile of stack, layout, conventions and workflows. Re-run any time to refresh both in place. Use when memory is newly installed on an existing project, or when the project has changed enough that the stored map…
session-log
USE WHEN ending a substantial working session — user says "thanks/tomorrow/wrap up", or session shipped 3+ commits with no log today, or user asks for a summary. Distills the conversation into docs/sessions/YYYY-MM-DD- .md (context, what was done, key decisions, open questions, next steps). Hard cap 80 lines.…
claude-bridge-role-memory-keeper
Playbook for a Claude Code agent in the dedicated memory keeper role — single-writer for shared agent memory across a team of 3+ peers. Use when you are designated as the keeper (= other peers send you write candidates, you write them and watch for drift). Memory hygiene + reconciliation against the canon + drift…
pickup
Resume work on this project after an interruption or at the start of a new session: show recent wins, what was being done, the next action, and open decisions, in that order, then stop. Trigger only on an explicit /squirrel:pickup invocation, or an explicit request to resume or pick up this project's past work at the…
stash
Record one durable memory in the user's cross-project hoard: a correction, a decision with its reasoning, a bug and its fix, or a fact worth keeping. Only for an explicit /squirrel:stash invocation.
memory-loop-setup
Bootstrap the memory loop into any repo or Obsidian vault. Triggers: (1) "set up the memory loop / second brain / warm layer here" or "install this structure in another repo/vault", (2) a new project asking "make the AI remember across sessions and surfaces".