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 DolphinAI2026/dolphin-code --skill agentic-memory-sessionsgit clone --depth 1 https://github.com/DolphinAI2026/dolphin-codeWrote 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/dolphinai2026/dolphin-code/agentic-memory-sessions)<a href="https://agentmods.dev/skills/dolphinai2026/dolphin-code/agentic-memory-sessions"><img src="https://agentmods.dev/badge/skills/dolphinai2026/dolphin-code/agentic-memory-sessions/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/dolphinai2026/dolphin-code/agentic-memory-sessions"><img src="https://agentmods.dev/badge/skills/dolphinai2026/dolphin-code/agentic-memory-sessions.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 | $0.00082 | $0.02883 |
| Opus 5.5 | $0.00033 | $0.01153 |
| Sonnet 5.5 | $0.00016 | $0.00577 |
| Haiku 4.5 | $0.00008 | $0.00288 |
Grade C, and why
agentic-memory-sessions scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
Capture the absolute path; thread it into Step 5 and Step 6. The OS handles cleanup on session end; an explicit `rm -rf "$SCRATCH"` at the end of Step 7 is harmless and makes intent explicit. The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What ships with it
4 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.
- 1mo ago First seen · 217 lines · 82 tokens per session scan C ea72f9bd5bb6
agentic-memory-sessions is a skill published in the GitHub repository DolphinAI2026/dolphin-code (979 stars, last pushed 2mo ago), licensed GPL-3.0. It adds 82 tokens to every session and 2,883 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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