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 regyssilveira/AgentKit4D --skill delphi-memory-managementgit clone --depth 1 https://github.com/regyssilveira/AgentKit4DWrote 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/regyssilveira/agentkit4d/delphi-memory-management)<a href="https://agentmods.dev/skills/regyssilveira/agentkit4d/delphi-memory-management"><img src="https://agentmods.dev/badge/skills/regyssilveira/agentkit4d/delphi-memory-management/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/regyssilveira/agentkit4d/delphi-memory-management"><img src="https://agentmods.dev/badge/skills/regyssilveira/agentkit4d/delphi-memory-management.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 | $0.00032 | $0.00530 |
| Opus 5 | $0.00016 | $0.00265 |
| Sonnet 5 | $0.00006 | $0.00106 |
| Haiku 4.5 | $0.00003 | $0.00053 |
Grade A, and why
delphi-memory-management 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
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 · 52 lines · 32 tokens per session scan A 7b8008321293
delphi-memory-management is a skill published in the GitHub repository regyssilveira/AgentKit4D (7 stars, last pushed 2mo ago), with no licence file. It adds 32 tokens to every session and 530 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.
Other skills, from other repositories
karpathy-coding-principles
Use when andrej Karpathy's 4 coding principles — think before coding, simplicity first, surgical changes, goal-driven execution. Use when coding, reviewing code quality, reducing overengineering,.
refactoring-patterns
Apply safe refactoring patterns to improve code structure without changing behavior. Use when cleaning up code, reducing technical debt, or improving maintainability.
refactoring
Improve code structure without changing behavior using proven refactoring patterns. Use when cleaning up code, reducing duplication, improving readability, or restructuring modules.
refactor
Automated iterative code refactoring with swarm-orchestrated specialist agents including deep codebase discovery, confidence-scored code review, and security analysis. Use this skill when the user wants to improve existing code quality, clean up messy code, restructure, simplify, reduce tech debt, or perform…
feature-dev
Guided feature development with swarm-orchestrated codebase exploration, multi-perspective architecture design, implementation, and quality review.
feature-dev
Guided feature development with swarm-orchestrated codebase exploration, multi-perspective architecture design, implementation, and quality review. Use this skill when the user wants to build a new feature, add new functionality, implement a capability, or create something that doesn't exist yet. Triggers on requests…