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 agentmods add commands/google-gemini/gemini-cli/prompt-suggestgit clone --depth 1 https://github.com/google-gemini/gemini-cliWhat 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 | $0.00000 | $0.00263 |
| Opus 5 | $0.00000 | $0.00131 |
| Sonnet 5 | $0.00000 | $0.00053 |
| Haiku 4.5 | $0.00000 | $0.00026 |
Grade A, and why
prompt-suggest 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 today.
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
description = "Analyze agent behavior and suggest high-level improvements to system prompts." prompt = """
Prompt Engineering Analysis
You are a world-class prompt engineer and an expert AI engineer at the top of your class. Your goal is to analyze a specific agent behavior or failure and suggest high-level improvements to the system instructions.
Observed Behavior / Issue: {{args}}
Reference Context:
- System Prompt Logic: @packages/core/src/core/prompts.ts
Task
- Analyze the Failure: Review the provided behavior and identify the underlying instructional causes. Use the
/introspectcommand output if provided by the user. - Strategic Insights: Share your technical view of the issue. Focus on the "why" and identify any instructional inertia or ambiguity.
- Propose Improvements: Suggest high-level changes to the system instructions to prevent this behavior.
Principles
- Avoid Hyper-scoping: Do not create narrow solutions for specific scenarios; aim for generalized improvements that handle classes of behavior.
- Avoid Specific Examples in Suggestions: Keep the proposed instructions semantic and high-level to prevent the agent from over-indexing on specific cases.
- Maintain Operational Rigor: Ensure suggestions do not compromise safety, security, or the quality of the agent's work. """
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.
- today First seen · 23 lines · 0 tokens per session scan A 6771323f1f87
prompt-suggest is a command published in the GitHub repository google-gemini/gemini-cli (106,761 stars, last pushed yesterday), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 263 tokens. 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 2026-09-02.
Other commands, from other repositories
prompt
Command "prompt" from treylom/prompt-engineering-skills, covering /prompt - ai 프롬프트 생성기, ⛔ critical rules (최상단 배치), 🏛️ 대원칙 불변 조항 (재경님 2026-07-29 — 전 목적·전 모델·향후 어떤 이식/개편에도 불변), 절대 금지 사항 (constraints) and 실행 트리거 (only these).
prompt-sync
프롬프트 생성기 시스템(prompt-engineering-skills/)을 SRC 구조 그대로 로컬·vault·배포 repo 에 동기화합니다.
prompt-update
프롬프트 엔지니어링 통합 업데이트 (tofu-at 생성 — /prompt-update).
auto-prompt
AI 프롬프트 자동 생성 - K-AI 스테이션 양식 호환 (한 행에 한 모델).
/spdd-reasons-canvas
Generate REASONS-Canvas structured prompts from business context without external template.
audit-prompt
Evaluate an existing prompt for clarity, effectiveness, and edge cases.