agentleFS
mihail-gribovmihail-gribov/ai-agent-tools/search-cli/SKILL.md

websearch

Skill0 starsChanged 3 months agoApache-2.0View on GitHub

Search the web with ait-search (search-cli) instead of ad-hoc web search tools - every page found is kept locally, a repeated query marks what is new, every page can carry tags, a status and a note. Use when the user asks to find something on the web, "what do people write about", "find posts", or when a task needs a web sweep.

5 other projects use a version of this.

Adopted by

Most recently taken up by

  • Other versions5 projects use a version of this.

    Word for word · 0

    None found.

    Edited · 0

    None found.

    Wrote their own version · 5

    1. PrimeIntellect-ai/prime-agent★ 23ksame name
    2. wangbooth/skills★ 7same name
    3. dekoza/oh-my-slop★ 4same name
    4. roryyu/websearch-free-skill★ 2same name
    5. Elnora-AI/elnora-websearch-tools★ 1same name

    How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.

The file

We split this skill into the rules it gives an agent

3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Look at what the store already holds before asking - often the page is there:

    line 24
  2. Distinctive:

    Ask several narrow questions rather than one wide one - each is one call, and its results are kept, so the next query only adds.

    line 44
  3. Very specific:

    Use --site for one surface at a time and --since for the window.

    line 47

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Web search with memory

The tool is ait-search; ait-search --help and the repository's SEARCH-API.md describe the commands. This skill is about how to search well with it.

Before spending: what is configured

ait-search status                 # engines, keys, prices
ait-search status gemini --probe  # does the key work, is the quota exhausted right now

An error is {"error": code, "message", "hint"}: not_configured means set the variable, quota_exhausted means put another engine first (--engine keenable), unsupported on fetch means --format full.

Store first, engine second

Look at what the store already holds before asking - often the page is there:

ait-search history                         # was this asked already, and when
ait-search grep '"work stealing"'          # local full-text over everything seen
ait-search doc list --site github.com --since 14d

Then search. A page seen before is the same document, and only never-seen results carry "new": true. Re-running yesterday's query is the intended way to track a topic. --wide asks every configured engine and fuses the rankings; --fetch N brings the top N bodies in the same call. AI engines (gemini, tavily) return an answer too - read it as one more source with a score, not as the verdict.

Write the query as a description

Semantic engines (keenable, exa) match meaning: "article by a maintainer comparing Rust async runtimes on tail latency" finds more than "async runtime comparison". Keyword engines (brave, tavily, searxng) want terms. Ask several narrow questions rather than one wide one - each is one call, and its results are kept, so the next query only adds.

Use --site for one surface at a time and --since for the window. An empty answer says nothing about the surface: an index is a sample, and it lags the page by days.

Read before judging

A snippet is not the page:

ait-search fetch <id>
ait-search doc get <id> --body

Write back what you learned

The store is only worth more than the engine if the reading is recorded:

  • doc status <id> useful|noise|read|answered - the verdict
  • doc tag <id> ... - the axes to slice by later (topic, surface, actor)
  • doc note <id> "..." - the one line that saves reopening the page

Report to the user what is new, not the whole list.

Download now (ZIP)

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What did you use it for? e.g. Reviewing pull requests in a Rails app

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Your trail

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