Memento-Skills is an agent runtime and skill framework in which agents can create, reuse, execute, reflect on, and repair persistent skills. It is intended for multi-step task execution, research, planning, and building reusable agent behaviour through a desktop application or public runtime. The catalogue entries are examples of skills and agents built for this framework.
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 Memento-Teams/Memento-Skills --skill web-searchgit clone --depth 1 https://github.com/Memento-Teams/Memento-SkillsWrote 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/memento-teams/memento-skills/web-search)<a href="https://agentmods.dev/skills/memento-teams/memento-skills/web-search"><img src="https://agentmods.dev/badge/skills/memento-teams/memento-skills/web-search/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/memento-teams/memento-skills/web-search"><img src="https://agentmods.dev/badge/skills/memento-teams/memento-skills/web-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00026 | $0.00470 |
| Opus 5.5 | $0.00010 | $0.00188 |
| Sonnet 5.5 | $0.00005 | $0.00094 |
| Haiku 4.5 | $0.00003 | $0.00047 |
Grade A, and why
web-search 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 2mo 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
Web Search
Search the web and fetch content from URLs.
Setup
Set TAVILY_API_KEY in config env to enable web search. Get your API key at https://tavily.com.
Available Scripts
scripts/search.py - Web Search
Search the web via Tavily API and return LLM-friendly markdown.
# Search from command line
python scripts/search.py "quantum computing" 5
# From Python
from scripts.search import tavily_search
output = tavily_search("quantum computing", max_results=5)
print(output)
Parameters:
query(str): Search query (keep under 400 chars)search_depth(str): ultra-fast | fast | basic | advanced (defaultbasic)max_results(int): Maximum results, default 3include_raw_content(bool): Include full page content when available
Returns: Markdown string with formatted results
scripts/fetch.py - Fetch URL Content
Fetch and extract markdown content from a URL. No API key required.
# Fetch from command line
python scripts/fetch.py "https://example.com"
# From Python
from scripts.fetch import fetch
content = fetch("https://example.com")
print(content)
Parameters:
url(str): URL to fetch
Returns: Markdown content string
Workflow
- Search: Use
tavily_search()to find relevant pages - Fetch: Use
fetch()to get full content from specific URLs - Extract: Parse the content to find the information you need
Requirements
TAVILY_API_KEYmust be set in config env for search functionalityfetchworks without any API key- Dependencies:
httpx,beautifulsoup4,markdownify(auto-installed)
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.
- 2mo ago First seen · 74 lines · 26 tokens per session scan A bbd0388d85b2
web-search is a skill published in the GitHub repository Memento-Teams/Memento-Skills (1,586 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 470 once invoked, about $0.0001 per session on Opus 5.5. 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.
web-search compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| web-searchMemento-Teams/Memento-Skills | Skill | 1.6k | 2mo ago | Apache-2.0 | A | 26 | Claude Code, Codex |
| interactive-loginyc-software/qm | Skill | 16k | yesterday | MIT | A | 46 | Claude Code, Codex |
| pinchtab-mcppinchtab/pinchtab | Skill | 11k | 10d ago | MIT | A | 52 | Claude Code, Codex |
| azure-messaging-webpubsub-javamicrosoft/skills | Skill | 3.2k | yesterday | MIT | A | 43 | Claude Code |
| cua-driverdavidondrej/skills | Skill | 4.3k | 3d ago | MIT | A | 68 | Claude Code, Codex |
| open-design-browsercompozy/compozy | Skill | 2.8k | yesterday | MIT | A | 56 | Claude Code, Codex |
| southwestborski/travel-hacking-toolkit | Skill | 895 | yesterday | MIT | A | 40 | Claude Code |