Agent skill

Search

by entireio in entireio/skills

A skill your agent uses when the user asks to research, investigate, look into, dig into, or search for anything — a topic, feature, bug, decision, or "what do we know about X".

MITAuto-check passedDevelopment

Install Search

skills CLI
$ npx skills add entireio/skills --skill search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install entireio/skills search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/entireio/skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/search .claude/skills/search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
search
GitHub stars
223
Token cost
~2.1k tokens
SKILL.md length
1,147 words
Files
1
Skills in repo
12
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user asks to research, investigate, look into, dig into, or search for anything — a topic, feature, bug, decision, or "what do we know about X".

  • Works in 2 steps: Review the top hits and summarize the… → To drill into a hit, pass its id…
  • The user asks to research
  • SKILL.md covers Search First, Execution Environment, Response Format and When to Use, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Search is an agent skill from entireio/skills. Use when the user asks to research, investigate, look into, dig into, or search for anything — a topic, feature, bug, decision, or "what do we know about X". Invoke this as the FIRST action on such requests, before Glob, Grep, or Read: the answer is in Entire's recorded history (prompts, transcripts, and decisions, across repos), not in the local files, and a working copy that looks empty or unfamiliar is not a reason to skip it. Also use to find code across repositories ("where is X implemented in our other…

Its SKILL.md is about 2.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development. The repository describes itself as: ✨ Cross-agent skills that help coding agents use Entire context from Checkpoints, sessions, and git history to search past work, explain code, and hand off sessions. The licence is MIT.

When your agent uses it

  • The user asks to research
  • Search for anything — a topic
  • What do we know about X
  • Find code across repositories (where is X implemented in our other repos)

Example prompts

  • “what do we know about X”
  • “where is X implemented in our other repos”
  • “/search”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Review the top hits and summarize the likely candidates for the user. Do not dump raw JSON unless they ask for it. If a hit's title…
  2. To drill into a hit, pass its id (checkpoint ID or commit SHA, auto-detected) to

What it can do on your machine

Read from SKILL.md and the folder at commit fe5266f. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Search loads about 2.1k tokens when it runs. Until then it costs about 156 tokens; SKILL.md has 1,147 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~156
When it runs · the whole SKILL.md, loaded when a task matches
~2.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from entireio/skills at commit fe5266f, republished under its MIT licence (© entireio). 1,147 words, ~2,123 tokens.

Download SKILL.mdSave it as .claude/skills/search/SKILL.md (or your agent's skills folder).
name
search
description
Use when the user asks to research, investigate, look into, dig into, or search for anything — a topic, feature, bug, decision, or "what do we know about X". Invoke this as the FIRST action on such requests, before Glob, Grep, or Read: the answer is in Entire's recorded history (prompts, transcripts, and decisions, across repos), not in the local files, and a working copy that looks empty or unfamiliar is not a reason to skip it. Also use to find code across repositories ("where is X implemented in our other repos"). Not for grepping the current working copy on its own, and not for the current active session.

Search Checkpoints and Code

Use entire search to find prior checkpoints, commits, and sessions with hybrid (semantic + keyword) search, or entire search --code to search code content across repositories. Requires entire login. Never run entire search without --json — it opens an interactive TUI.

Search First

When the user asks to research, investigate, look into, or dig into something, the first action is one entire search call, before reading source files or running grep. Recorded prompts, transcripts, and decisions answer "what has been tried and why" in a way code cannot. Grep and file reads come after, to confirm what the history says. Fall back to code-only reasoning only when search returns nothing, and say so.

Execution Environment

On macOS, entire reads credentials from the local secrets store, which the Codex sandbox cannot reach. In Codex, run every entire command with sandbox_permissions: "require_escalated" on the first attempt (justification: needs the user's local Entire credentials). A sandboxed credential error is not evidence the user needs to log in; only report that after an unsandboxed attempt says so.

Response Format

Begin the first response to this skill invocation with the line:

Entire Search:

followed by a blank line, then the content.

  • Apply the header to the first response of the invocation only. Do not re-print it on follow-up turns within the same invocation (e.g. after the user answers a clarifying question).
  • Do not include the header on error or early-exit responses (e.g. "Entire CLI not installed", "authentication required", "no matches"). The header's presence should signal that the skill ran and produced real output.

When to Use

  • The user says "research X", "investigate X", "look into X", "dig into X", "search for X", "find out how X works", or "what do we know about X"
  • The user asks "have we done this before?", "search past work", "find the previous implementation", or "look for checkpoints about X"
  • You need prior context from another branch, repo, author, or recent time period
  • You are about to read code to understand a feature, bug, or decision and no one has checked the recorded history yet
  • The user wants to find code across repositories they have access to, e.g. "where is X implemented?", "find usages of Y in our other repos" — use code search (--code)

Do not use this for the current active session; use session-handoff for that. Use grep or ripgrep instead of code search only when the user wants matches in the files of the current working copy and is not asking about history, intent, or other repos.

Process

  1. Run a focused search with compact JSON output:
bash
entire search "<query>" --json --compact --limit 5

Each compact hit carries id, type (checkpoint, commit, session, repo, or pr), repo, branch, author, date, a truncated title, the matched snippet, filesTouched, and a relevance score — never the full prompt. Results are ranked by relevance; raise --limit (per page) or add --page (1-based) only when the first five have no good hit.

If the CLI rejects --compact as an unknown flag (versions before 0.10.0), drop it and keep --limit 5 — without --compact each hit embeds its full prompt, so a default page can run tens of KB.

Add filters when the user already gave them or when the first search is too broad:

bash
entire search "<query>" --json --compact --limit 5 --repo owner/name --branch branch-name --author "Name" --date week
  • --repo takes multiple repos: repeat it or comma-separate (--repo a --repo b, --repo a,b)
  • Inline filters also work in the query: author:<name>, date:<week|month>, branch:<name>, repo:<owner/name>, repo:*
  • Results default to the current repository. To search all accessible repos, pass --all-repos, write repo:* inside the query string, or pass --repo '*' (quoted). --repo repo:* is invalid — inline tokens never go in flag values.
  1. Review the top hits and summarize the likely candidates for the user. Do not dump raw JSON unless they ask for it. If a hit's title, snippet, and filesTouched already answer the question, answer directly — do not run explain unless the user asks for details or the top hits are ambiguous. Prefer checkpoint and commit hits; session hits are projections of the same checkpoints.

  2. To drill into a hit, pass its id (checkpoint ID or commit SHA, auto-detected) to:

bash
entire checkpoint explain <id> --no-pager
  • Add --full to pull the checkpoint's entire session transcript; if --full fails, fall back to --raw-transcript
  • For a checkpoint hit from another GitHub repo, add --repo <owner/name> — it needs the full checkpoint id from the hit and a checkpoint that has been pushed. If the flag is unknown (versions before 0.10.0) or explain finds nothing, do not retry — answer from the compact fields instead
  • For a session hit on the current branch, bridge with entire checkpoint explain --session <id>, which lists that session's checkpoints; explain one of those
  • repo and pr hits (and sessions or commits from other repos or branches) cannot be explained — summarize them from the compact fields alone
Show full SKILL.md (360 more words)Show less

Add --code to search code content instead of checkpoints:

bash
entire search "<query>" --code --json

Scope and refine with flags:

bash
entire search "<query>" --code --json --repo owner/name --limit 20 --case-sensitive
  • By default results are scoped to the current repository; add --all-repos (or repo:*) to search every repo the user can access, or list repos with --repo
  • --case-sensitive only applies with --code
  • --limit is the total result count for code search (not per page)
  • --author, --branch, --date, --page, and --compact are checkpoint-search options — do not combine them with --code
  • Present results as file paths with matching snippets; do not dump raw JSON unless asked
Code Search Heuristics
  • Search for distinctive tokens: function names, error strings, config keys — not natural-language descriptions
  • Prefer exact identifiers over partial words; add --case-sensitive when the identifier casing matters (e.g. HttpClient vs httpclient)
  • Scope with --repo when the user names a repo; start with --all-repos when the code plausibly lives in another repo; otherwise start with the current repo and widen with --all-repos if nothing hits
  • If a query is too broad, add a second distinctive term or increase specificity before raising --limit
  • If code search fails or reports that some regions were skipped, treat results as incomplete: search locally checked-out repos with ripgrep/grep, or run a checkpoint search for prior work touching that code

Search Heuristics

  • Start with the user's domain terms, feature name, error text, file name, or ticket ID
  • Prefer narrower searches before increasing --limit
  • Add --repo or repo:* explicitly when repository scope matters
  • Escalate to --all-repos whenever the answer plausibly lives outside the current repo — infrastructure or deploy repos, another service in the stack, fleet-wide changes — rather than waiting for an empty result
  • If there are no useful hits, broaden in this order: remove branch filter, widen date, simplify query terms, add --all-repos

Failure Modes

  • If search says authentication is required, tell the user to run entire login
  • If search says it "cannot search this repo yet", the repo is not indexed or its owner has not enabled semantic search — report that instead of retrying
  • If there are no matches, say that clearly and mention the filters or query terms you tried
  • If the user really wants the current session, switch to session-handoff instead of searching checkpoints

© entireio, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/search of entireio/skills.

Open the folder on GitHubat commit fe5266f

Compare with similar skills

Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Search this skillentireio/skills223—~2.1kAutomated safety check: PassMIT
Vercel Composition Patternssupabase/supabase111k58 repos~726Automated safety check: PassMIT
Finishing a Development Branchobra/superpowers297k5 repos~1.9kAutomated safety check: PassMIT
Typescript Advanced Typesrolling-scopes/rsschool-app10k25 repos~4.2kAutomated safety check: PassMPL-2.0
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Categories

Questions about Search

What does Search do?

A skill your agent uses when the user asks to research, investigate, look into, dig into, or search for anything — a topic, feature, bug, decision, or "what do we know about X". Search is an agent skill from entireio/skills. Use when the user asks to research, investigate, look into, dig into, or search for anything — a topic, feature, bug, decision, or "what do we know about X".

When should I use Search?

Search fits situations like: the user asks to research; search for anything — a topic; what do we know about X; find code across repositories (where is X implemented in our other repos).

How do I install Search in Claude Code?

Run `npx skills add entireio/skills --skill search -a claude-code`. Or copy the skill folder (skills/search in entireio/skills) into .claude/skills/search in your project. Claude Code loads it when a task matches its description.

How do I install Search in Codex?

Run `npx skills add entireio/skills --skill search -a codex`. Or copy the skill folder (skills/search in entireio/skills) into .agents/skills/search in your project. Codex loads it when a task matches its description.

Can I use Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add entireio/skills --skill search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/search, .gemini/skills/search, .github/skills/search and .opencode/skills/search in your project.

What does Search need to run?

SKILL.md names no scripts, command-line tools or credentials: Search is instructions for the agent only.

Does Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Search use?

Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Search use?

About 2.1k tokens (SKILL.md is roughly 8.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Search?

Skills that share tags, products or a category with Search: Vercel Composition Patterns (supabase/supabase, 111k stars), Finishing a Development Branch (obra/superpowers, 297k stars), Typescript Advanced Types (rolling-scopes/rsschool-app, 10k stars) and PR Babysitter (openinterpreter/openinterpreter, 69k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Search?

entireio (a GitHub organization) maintains it in entireio/skills, which has 223 GitHub stars. The repository holds 12 skills in this directory. The repository was last updated on September 29, 2026.

Source: entireio/skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.