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 jnPiyush/AgentX --skill token-optimizergit clone --depth 1 https://github.com/jnPiyush/AgentXWrote 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/jnpiyush/agentx/token-optimizer)<a href="https://agentmods.dev/skills/jnpiyush/agentx/token-optimizer"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/token-optimizer/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/jnpiyush/agentx/token-optimizer"><img src="https://agentmods.dev/badge/skills/jnpiyush/agentx/token-optimizer.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 | $0.00028 | $0.00975 |
| Opus 5.5 | $0.00011 | $0.00390 |
| Sonnet 5.5 | $0.00006 | $0.00195 |
| Haiku 4.5 | $0.00003 | $0.00097 |
Grade A, and why
token-optimizer 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 20d 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.
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Token Optimizer
When to Use
Use for oversized instructions, costly delegation or context preflight. Separate file-authoring limits, model context capacity and billing: they are not synonyms.
Prerequisites
Read workspace policy and supplied usage/price evidence. Local checks need PowerShell 7; they require no network connection or provider credentials.
Workflow
- Read
.token-limits.jsonfor this workspace's actual per-file policy. Do not copy limits from another skill or assume a model's context window. - Measure before editing; separate character estimates from provider usage.
- Load only the current task/phase's references. Keep paths and concise evidence summaries for delegation instead of copying the whole conversation.
- Move tutorials, long examples and repeated checklists to existing references. Retain requirements, ownership, failure behavior and non-skippable gates.
- Re-run the same measurement and requirement tests. A shorter prompt that loses correctness is a regression, not an optimization.
File budgets
pwsh .frontier/runtime/frontier.ps1 tokens report -Json
pwsh .frontier/runtime/frontier.ps1 tokens check -Path .github/instructions
pwsh scripts/token-counter.ps1 -Action count -Path .github/skills/development/token-optimizer -Json
The estimator is ceil(characters / 4), not a tokenizer. Exact tokenization
depends on the active provider/model. Reports expose covered and uncovered files
and violations; an absent policy is unconfigured, not a verified pass.
Nested globs and exact overrides come from the workspace policy.
Line endings are normalized to LF for comparable measurements.
tokens check -BaselineRef <commit> is an explicit no-regression gate for
inherited budget debt. It retains every violation in the report but fails new
or growing overages, using the same current policy for both revisions.
Default check remains strict. Do not label a no-regression result debt-free.
Core Rules
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 20d ago Changed cca69151d257
- 1mo ago Changed 634f3fc5a1c7
- 1mo ago Changed · +8 lines · -45 tokens per session e7c0e0a75615
- 1mo ago First seen · 97 lines · 73 tokens per session scan A ae86de410600
token-optimizer is a skill published in the GitHub repository jnPiyush/AgentX (16 stars, last pushed 3d ago), licensed Apache-2.0. It adds 28 tokens to every session and 975 once invoked, about $0.0001 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 2026-09-03.
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