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 skills/dinglebear-ai/dendrite/wrap-sessionnpx skills add dinglebear-ai/dendrite --skill wrap-sessiongit clone --depth 1 https://github.com/dinglebear-ai/dendriteWrote 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/dinglebear-ai/dendrite/wrap-session)<a href="https://agentmods.dev/skills/dinglebear-ai/dendrite/wrap-session"><img src="https://agentmods.dev/badge/skills/dinglebear-ai/dendrite/wrap-session.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 | $0.00106 | $0.00778 |
| Opus 5 | $0.00053 | $0.00389 |
| Sonnet 5 | $0.00021 | $0.00156 |
| Haiku 4.5 | $0.00011 | $0.00078 |
Grade A, and why
wrap-session 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 3d 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
Licensed AGPL-3.0
The repository is licensed AGPL-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.
- 3d ago First seen · 56 lines · 106 tokens per session scan A dcc7b7d036e7
wrap-session is a skill published in the GitHub repository dinglebear-ai/dendrite (1 stars, last pushed 10d ago), licensed AGPL-3.0. It adds 106 tokens to every session and 778 once invoked, about $0.0005 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 2026-09-03.
Other skills, from other repositories
adhd-output-style
This skill should be used when the user asks for "ADHD output", "fewer output tokens", "short numbered steps", "limited working memory formatting", or explicitly invokes "adhd-output-style".
lov-finder-action
Generate Mac Finder right-click menu actions. Two modes: (A) Automator Quick Action for file/folder context menus, (B) Finder Sync Extension (Swift + xcodegen) for blank-space context menus. Automatically selects mode based on user intent. Trigger when user mentions "Finder右键", "右键菜单", "Quick Action", "Finder…
lov-personal-vocabulary
维护一份可跨语音输入法复用的个人词汇表：统一管理、去重、并同步到 Typeless、OpenLess 等 App。Trigger: 帮我维护词汇表、同步词汇、把词汇表填到 OpenLess、manage my personal vocabulary, sync dictation terms across apps.
lov-search-file
从本机 Codex、Claude 等 AI 对话记录中追溯图片、文档与其他交付文件，返回仍然 存在的候选路径、会话证据与存储层级。适用于“上次 AI 给我的文件在哪”或 “find the file from an earlier AI chat”。.
lov-open-codex-session
用 Codex thread UUID、deeplink 或已确认的检索命中，直接在 Codex 主窗口打开目标任务。适用于“打开这个 session”“打开刚找到的 Codex 会话”和 open this Codex session。.
lov-yoda-automation
在 Yoda 中创建、修复、核验和停用一次性或周期自动化；适用于“设置 Yoda 提醒”“每个工作日巡检”“修复 cron”“automation schedule”等请求，输出可核验的计划、下次运行和运行记录。.