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 IchenDEV/prompt-optimizer-plugins --skill optimize-gpt-5-6-promptsgit clone --depth 1 https://github.com/IchenDEV/prompt-optimizer-pluginsWrote 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/ichendev/prompt-optimizer-plugins/optimize-gpt-5-6-prompts)<a href="https://agentmods.dev/skills/ichendev/prompt-optimizer-plugins/optimize-gpt-5-6-prompts"><img src="https://agentmods.dev/badge/skills/ichendev/prompt-optimizer-plugins/optimize-gpt-5-6-prompts/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/ichendev/prompt-optimizer-plugins/optimize-gpt-5-6-prompts"><img src="https://agentmods.dev/badge/skills/ichendev/prompt-optimizer-plugins/optimize-gpt-5-6-prompts.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 | $0.00135 | $0.01921 |
| Opus 5 | $0.00068 | $0.00960 |
| Sonnet 5 | $0.00027 | $0.00384 |
| Haiku 4.5 | $0.00014 | $0.00192 |
Grade A, and why
optimize-gpt-5-6-prompts 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.
How it starts
The opening of the file, as written. The whole thing — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Optimize GPT-5.6 Prompts
Turn rough ideas and existing prompt stacks into copy-ready GPT-5.6 prompts. Preserve the user's intent and hard constraints, ask for genuinely blocking information, and keep the result no more elaborate than the task requires.
Use the official basis
Read references/official-guidance.md when model-specific rationale, API-setting guidance, or the longer checklist is needed. Treat its URLs as canonical sources and its prose as a dated summary. Fetch the live OpenAI pages before making claims about the current model alias, parameters, availability, or other facts that may change.
Follow the workflow
1. Capture the prompt contract
Identify the following from the user's message, pasted prompt, or referenced file:
- intended user-visible outcome;
- inputs and context the model will receive;
- hard constraints and facts to preserve;
- required output shape, audience, and language;
- evidence, tool use, or validation needed for success;
- side effects the model may take and actions that require approval;
- fallback or stopping behavior when required information is unavailable.
Treat these as diagnostic dimensions, not mandatory sections. Keep a simple rewriting prompt simple.
If the user supplies a layered prompt stack, preserve the separation between system, developer, user, and tool-description content. Do not silently move instructions between trust levels.
2. Apply the clarity gate
Ask a question only when the missing or conflicting information is blocking: two reasonable answers would lead to materially different prompts, outputs, permissions, or success criteria.
Treat the following as blocking by default:
- a vague new-prompt request that names only a topic and generic verb, such as "analyze this data," "write content," or "build an agent," while the intended decision, audience, or deliverable could vary materially;
- an action prompt that can send, publish, purchase, delete, change records, modify terms, or affect another person when the authorization and approval boundary is not explicit;
- a task that depends on an unspecified source, system, policy, tool, or evidence set whose choice changes what the model may conclude or do;
- conflicting instructions about scope, output, permissions, evidence, or completion;
- a strict output contract whose required fields or semantics cannot be inferred safely.
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.
- 10d ago First seen · 135 lines · 135 tokens per session scan A efc338e25bd4
optimize-gpt-5-6-prompts is a skill published in the GitHub repository IchenDEV/prompt-optimizer-plugins (6 stars, last pushed 4d ago), licensed MIT. It adds 135 tokens to every session and 1,921 once invoked, about $0.0007 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.
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