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ambition-calibrator

ambition-calibrator is a skill for Claude Code, Codex from nivlewd1/prompt-optimizer. It costs 89 tokens per session (3,974 once invoked), scanned A, original, no licence file.

A task-refinement workflow that makes a request deeper without expanding its scope. It adds a goal ladder, identifies raw inputs, considers professional methods and related fields, and checks the result with a separate judge.

In plain words
What is it for?
Use it when someone asks for more depth or ambition in an existing report, deck, analysis, plan, or similar deliverable.
Why use it?
It helps prevent shallow reports, presentations, analyses, or plans while keeping the original task bounded.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 13repo +1 yesterday A scan 89 tokens custom licence

Good fit Use it when someone asks for more depth or ambition in an existing report, deck, analysis, plan, or similar deliverable.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nivlewd1/prompt-optimizer/ambition-calibrator
View source ↗ nivlewd1/prompt-optimizer promptoptimizer.xyz
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 nivlewd1/prompt-optimizer --skill ambition-calibrator
Clone the repo
git clone --depth 1 https://github.com/nivlewd1/prompt-optimizer

Made for: Claude Code, Codex.

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 ambition-calibrator

README.md
[![agentmods](https://agentmods.dev/badge/skills/nivlewd1/prompt-optimizer/ambition-calibrator/github.svg)](https://agentmods.dev/skills/nivlewd1/prompt-optimizer/ambition-calibrator)
Your own site
<a href="https://agentmods.dev/skills/nivlewd1/prompt-optimizer/ambition-calibrator"><img src="https://agentmods.dev/badge/skills/nivlewd1/prompt-optimizer/ambition-calibrator/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 ambition-calibrator

Your own site · 80×15
<a href="https://agentmods.dev/skills/nivlewd1/prompt-optimizer/ambition-calibrator"><img src="https://agentmods.dev/badge/skills/nivlewd1/prompt-optimizer/ambition-calibrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 89 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,974 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.
Origin unknown 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 $0.00089 $0.03974
Opus 5.5 $0.00036 $0.01590
Sonnet 5.5 $0.00018 $0.00795
Haiku 4.5 $0.00009 $0.00397

Measured 10d ago against content hash cc186fde8523, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ambition-calibrator 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.

skill/ambition-calibrator/SKILL.md · 130 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Files

What ships with it

1 file 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.

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. 10d ago First seen · 130 lines · 89 tokens per session scan A cc186fde8523

Subscribe to this mod's changes

ambition-calibrator is a skill published in the GitHub repository nivlewd1/prompt-optimizer (13 stars, last pushed yesterday), with no licence file. It adds 89 tokens to every session and 3,974 once invoked, about $0.0004 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 2026-10-27.

DSPyPlanningWriting and docsagent-orchestrationagent-skillscontext-engineeringmcp-serverprompt-engineering
Related

ambition-calibrator compared with skills from other repositories

ambition-calibrator next to 6 skills from other repositories
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pr-stackrp1-run/rp1Skill3813d agoApache-2.0A20Claude Code
markdown-previewrp1-run/rp1Skill3813d agoApache-2.0A30Claude Code
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pr-reviewrp1-run/rp1Skill3813d agoApache-2.0A25Claude Code