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 shubhransh-gupta/toknt --skill toknt-optimizegit clone --depth 1 https://github.com/shubhransh-gupta/tokntWrote 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/shubhransh-gupta/toknt/toknt-optimize)<a href="https://agentmods.dev/skills/shubhransh-gupta/toknt/toknt-optimize"><img src="https://agentmods.dev/badge/skills/shubhransh-gupta/toknt/toknt-optimize/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/shubhransh-gupta/toknt/toknt-optimize"><img src="https://agentmods.dev/badge/skills/shubhransh-gupta/toknt/toknt-optimize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00016 | $0.00122 |
| Opus 5 | $0.00008 | $0.00061 |
| Sonnet 5 | $0.00003 | $0.00024 |
| Haiku 4.5 | $0.00002 | $0.00012 |
Grade A, and why
toknt-optimize 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 10d 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.
What it actually says
Tokn't Optimization
When you see compressed content with a toknt:// reference, you can recall the full content.
Recall compressed content
If output contains Reference: toknt://file/abc123, run:
toknt recall toknt://file/abc123
View savings
toknt stats
toknt stats --json
Check status
toknt status
toknt doctor
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.
- 10d ago First seen · 31 lines · 16 tokens per session scan A e3b95abd7225
toknt-optimize is a skill published in the GitHub repository shubhransh-gupta/toknt (3 stars, last pushed 14d ago), licensed MIT. It adds 16 tokens to every session and 122 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
Other skills, from other repositories
memory
A session-memory tool with three layers: agent notes, requirement memories, and overall project memory. The description does not specify how these memories are stored or managed.
summary
A skill that writes a summary of the current conversation to a daily memory file before work ends.
docstrata
Project Context System — structured project memory for any project via layered docs and codebase index. Use for: documenting projects, writing PRD/roadmap, generating codebase repo-wiki, capturing requirements/decisions, writing dev notes, building doc navigation index, compacting bloated docs, auto-detecting stale…
lithium-kb
Generates, maintains, and visualizes a structured Markdown knowledge base (.lithium-kb/{architecture,debug,tasks,features}) with an interactive Neural Network graph, auto-watch mode, custom agent directives (.agentrules), and MCP server integration for Pi, Claude, Codex, Cursor, and other coding agents. Triggers…
init-workspace-documentation
Skill "init-workspace-documentation" from griddynamics/rosetta, covering agent memory.md, agent memory, preventive rules, what worked and what failed.
general
Handle everyday conversation, answer questions, manage files, take notes, run scripts, and maintain persistent memory across sessions. Use when the user asks a general question, requests file operations, wants to brainstorm ideas, needs to-do tracking, asks you to remember something, or requests skill search and…