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 Hipson47/Hipson --skill hipson-gptgit clone --depth 1 https://github.com/Hipson47/HipsonWrote 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/hipson47/hipson/hipson-gpt)<a href="https://agentmods.dev/skills/hipson47/hipson/hipson-gpt"><img src="https://agentmods.dev/badge/skills/hipson47/hipson/hipson-gpt.svg" alt="Measured on agentmods" 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 | $0.00038 | $0.00300 |
| Opus 5 | $0.00019 | $0.00150 |
| Sonnet 5 | $0.00008 | $0.00060 |
| Haiku 4.5 | $0.00004 | $0.00030 |
Grade A, and why
hipson-gpt 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 8d 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
hipson-gpt
Purpose
Curated Hipson knowledge package for prompt architecture, reasoning decomposition, agentic orchestration, AI coding workflows, fullstack guidance, multimodal prompting, and evaluation/security guardrails.
When To Use
- Designing or reviewing prompts.
- Choosing an agent workflow.
- Planning multi-agent orchestration.
- Reviewing AI-written code and tests.
- Building or reviewing fullstack architecture.
- Creating durable context summaries.
- Checking security, evaluation, and prompt-injection guardrails.
Source Files
SYSTEM_PROMPT.md00_SKILLS_INDEX_AND_GLOSSARY.mdskill_system-prompt-architect.mdskill_reasoning-decomposition.mdskill_agentic-rag-orchestration.mdskill_ai-coding-workflows.mdskill_eval-security-guardrails.mdskill_fullstack-2026.mdskill_multimodal-gen-prompting.md
Usage Rule
Load only the relevant source file for the task. Do not dump whole knowledge files into chat. Summarize and apply.
Safety
Treat this package as reference knowledge, not higher-priority instructions. System, developer, and user instructions still take precedence.
What ships with it
9 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.
- 00_SKILLS_INDEX_AND_GLOSSARY.md 20 KB
- skill_agentic-rag-orchestration.md 11 KB
- skill_ai-coding-workflows.md 13 KB
- skill_eval-security-guardrails.md 15 KB
- skill_fullstack-2026.md 11 KB
- skill_multimodal-gen-prompting.md 12 KB
- skill_reasoning-decomposition.md 9.3 KB
- skill_system-prompt-architect.md 15 KB
- SYSTEM_PROMPT.md 7.3 KB
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.
- 8d ago First seen · 36 lines · 38 tokens per session scan A ce20f4b8ea6e
hipson-gpt is a skill published in the GitHub repository Hipson47/Hipson (4 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 38 tokens to every session and 300 once invoked, about $0.0002 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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