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/isala404/tera/memorynpx skills add isala404/Tera --skill memorygit clone --depth 1 https://github.com/isala404/TeraWhat 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 | $0.00020 | $0.00406 |
| Opus 5 | $0.00010 | $0.00203 |
| Sonnet 5 | $0.00004 | $0.00081 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
memory 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 2d 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
2 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.
- 2d ago First seen · 33 lines · 20 tokens per session scan A c2c5370a5a37
memory is a skill published in the GitHub repository isala404/Tera (92 stars, last pushed 5d ago), licensed AGPL-3.0. It adds 20 tokens to every session and 406 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
aptabase-analytics-report
Export and analyze Vibe Aptabase analytics for recent time windows or existing CSV exports, with emphasis on failure rates, affected users, app versions, and OS breakdowns. Use when Codex needs to: (1) export recent analytics with scripts/exportanalytics.py, (2) filter an export to the exact last N hours, (3) restrict…
harbor
Run Terminal-Bench or any Harbor dataset with Ante as the agent, using the Harbor adapter in the ante repo's ante-harbor/ directory. Use when the user wants to benchmark Ante on Harbor or reproduce Ante's published eval results.
react-best-practices
React and Next.js performance guidelines from Vercel Engineering. Use when writing, reviewing, or refactoring React components, hooks, client data fetching, rendering behavior, bundle imports, async request flows, or Next.js pages and server code.
agent-browser
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a…
naga-config
Naga 自身配置管理技能。用于查看和修改 Naga 系统设置、添加 MCP 工具服务、导入自定义技能、搜索可用 MCP 工具。当用户要求修改设置、添加工具或技能时使用此技能。.
naga_control
通过 agentType: "nagacontrol" 调用，直接控制 Naga 自身的运行状态和配置。.