Agent skill

Oma Search

by first-fluke in first-fluke/oh-my-agent

Find external documentation, web sources, or remote code with citations.

MITAuto-check passedDevelopment

Install Oma Search

skills CLI
$ npx skills add first-fluke/oh-my-agent --skill oma-search -a claude-code

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

GitHub CLI
$ gh skill install first-fluke/oh-my-agent oma-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/first-fluke/oh-my-agent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/oma-search .claude/skills/oma-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
oma-search
GitHub stars
1.3k
Token cost
~1.2k tokens
SKILL.md length
570 words
Files
16 (incl. references)
Skills in repo
57
Repo updated
First seen
Licence
MIT

At a glance

Find external documentation, web sources, or remote code with citations.

  • Works in 4 steps: Parse the query and explicit flags. Use… → Dispatch using Routes. Load… → Collect source references and… → …
  • Tasks that involve Codebase onboarding
  • SKILL.md covers Scheduling, Structural Flow, Logical Operations and References
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Oma Search is an agent skill from first-fluke/oh-my-agent. Find external documentation, web sources, or remote code with citations. Local code navigation uses the configured code tools.

Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 21 other files, including reference files (for example `references/_shared/conditional/experiment-ledger.md`, `references/_shared/conditional/quality-score.md` and `references/_shared/core/clarification-protocol.md`).

It sits in Development, covering Codebase onboarding and Citation management. The repository describes itself as: Mechanical verification for AI coding agents — skills pack or full harness (stop-hook gates, artifact checks, independent judges). The licence is MIT.

When your agent uses it

  • Tasks that involve Codebase onboarding
  • Tasks that involve Citation management

Example prompts

  • “/oma-search”

Workflow steps

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

  1. Parse the query and explicit flags. Use resources/intent-rules.md only when classification is needed; select one route unless ambiguity…
  2. Dispatch using Routes. Load resources/execution-protocol.md for the selected channel's command flags, fetch strategies, or normalization…
  3. Collect source references and deduplicate by URL. For non-local results, resolve domain trust using resources/trust-registry.md; reuse the…
  4. Rank by relevance, using trust as a tiebreaker. Return the requested answer or source list with supporting references and fallback…

What it can do on your machine

Read from SKILL.md and the folder at commit 268bb4a. 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

Oma Search loads about 1.2k tokens when it runs, and up to ~9.2k if it reads all its reference files. Until then it costs about 34 tokens; SKILL.md has 570 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~9.2k

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 first-fluke/oh-my-agent at commit 268bb4a, republished under its MIT licence (© first-fluke). 570 words, ~1,237 tokens.

Download SKILL.mdSave it as .claude/skills/oma-search/SKILL.md (or your agent's skills folder). This skill also uses 15 other files; get the full folder from GitHub.
name
oma-search
description
Find external documentation, web sources, or remote code with citations. Local code navigation uses the configured code tools.

Search Router

Scheduling

Goal

Route an information request to the appropriate channel and return relevant sources with trust labels.

Intent signature
  • Search, find, look up, reference docs, inspect official APIs, or search remote code.
  • Another skill requests docs, web, code, or local search with a query and constraints.
When to use
  • Library documentation, web research, GitHub/GitLab implementation patterns, or unclear search channels.
When NOT to use
  • Pure local code exploration -> use configured code intelligence under the shared contract.
  • Git history/blame -> oma-scm; architecture analysis -> oma-architecture.
Expected inputs

Query, optional route hint (docs, web, code, local), source/recency constraints, and flags. Explicit --docs, --code, or --web selects the route; --strict filters trust, --wide retains labeled results, and --gitlab selects the remote code host.

Expected outputs

Ranked sources with URL or file reference, route, relevance, trust level/score, and material fallback limits. Do not invent sources when no reliable result is found.

Dependencies

Context7 for docs, runtime web search, oma search/gh/glab for remote code, and configured code intelligence or native local search.

Structural Flow

Routes
RoutePrimaryFallbackUse for
docsContext7 resolve-library-id → query-docsWeb searchOfficial API/framework documentation
webRuntime web searchoma search fetch <url> for known result URLsWeb sources
codeoma search codeReport unavailable host/authRemote repository patterns
localConfigured code-intelligence providerNative search and scoped readsCurrent project files and symbols
Failure and recovery
  • Missing/empty documentation lookup: use web search and state the fallback.
  • A known URL cannot be fetched: use the fetch strategies in the route reference; retain authentication/blocking errors if all strategies fail.
  • Configured local tools unavailable or timed out: follow references/_shared/core/code-intelligence.md.
  • Unknown trust: retain the result as unknown with score —; do not imply verification.
  • No result satisfies --strict: report that outcome and offer a wider or narrower query.
Exit

Return evidence-backed results and disclose failed routes or source limitations. A domain score alone does not verify an individual claim.

Logical Operations

Show full SKILL.md (255 more words)Show less
Canonical workflow path
  1. Parse the query and explicit flags. Use resources/intent-rules.md only when classification is needed; select one route unless ambiguity requires more.
  2. Dispatch using Routes. Load resources/execution-protocol.md for the selected channel's command flags, fetch strategies, or normalization details.
  3. Collect source references and deduplicate by URL. For non-local results, resolve domain trust using resources/trust-registry.md; reuse the current session cache. Apply --strict after scoring.
  4. Rank by relevance, using trust as a tiebreaker. Return the requested answer or source list with supporting references and fallback limitations.
CLI entry points
bash
oma search code "<query>" [--host gitlab] [--language <lang>] [--repo <owner/repo>]
oma search trust <domain>
oma search fetch <url>

The CLI also exposes api, api:search, meta, rss, rss:google, media, archive, and doctor; use a primitive only when the selected route needs it.

Guardrails
  • Explicit route/source constraints take precedence over automatic classification.
  • Score at domain level, not URL-path or page level. Use the CLI registry and the documented Context7/official-site exceptions; do not invent scores.
  • Do not duplicate successful routes or search locally via the web.
  • Use available runtime web tools and the configured local provider; do not install or track a repository automatically.
Resource scope and effects

Search may contact external services or inspect local code and spawn gh/glab processes. Query constraints, selected sources, and trust metadata are session context; persistent caches belong in generated state, not skill definitions.

References

  • Intent classifier: resources/intent-rules.md (no explicit route or ambiguous query)
  • Route execution detail: resources/execution-protocol.md (selected channel only)
  • Trust resolution and cache rules: resources/trust-registry.md (non-local sources)
  • Recovery detail: resources/error-playbook.md (route failures)
  • Result checklist: resources/checklist.md (applicable route checks)
  • Examples: resources/examples.md (unfamiliar input/output contracts)
  • Local code-intelligence contract: references/_shared/core/code-intelligence.md

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

Files

SKILL.md and 15 other files (references) in skills/oma-search of first-fluke/oh-my-agent.

  • SKILL.md
  • references/_shared/conditional/experiment-ledger.md
  • references/_shared/conditional/quality-score.md
  • references/_shared/core/clarification-protocol.md
  • references/_shared/core/code-intelligence.md
  • references/_shared/core/execution-policy.md
  • references/_shared/core/lessons-learned.md
  • references/_shared/core/session-metrics.md
  • references/_shared/runtime/memory-protocol.md
  • references/_shared/runtime/result-contract.md
  • resources/checklist.md
  • resources/error-playbook.md
  • resources/examples.md
  • resources/execution-protocol.md
  • resources/intent-rules.md
  • … and 1 more

Open the folder on GitHubat commit 268bb4a

Used in 1 other repository

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in first-fluke/oh-my-agent, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Oma 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.

Oma Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Oma Search this skillfirst-fluke/oh-my-agent1.3k—~1.2kAutomated safety check: PassMIT
Codebase Knowledge Graph Q&AEgonex-AI/Understand-Anything86k—~1.2kAutomated safety check: PassMIT
Understand ExplainEgonex-AI/Understand-Anything86k—~1.3kAutomated safety check: PassMIT
Project Onboarding Guide from Knowledge GraphEgonex-AI/Understand-Anything86k—~1.2kAutomated safety check: PassMIT
GitDiagram Repository Overviewahmedkhaleel2004/gitdiagram18k—~427Automated safety check: PassMIT
Deepwiki Rssopaco/deepwiki-rs3.1k—~748Automated safety check: PassMIT

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Categories

Questions about Oma Search

What does Oma Search do?

Find external documentation, web sources, or remote code with citations. Oma Search is an agent skill from first-fluke/oh-my-agent. Find external documentation, web sources, or remote code with citations.

When should I use Oma Search?

Oma Search fits situations like: tasks that involve Codebase onboarding; tasks that involve Citation management.

How do I install Oma Search in Claude Code?

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

How do I install Oma Search in Codex?

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

Can I use Oma 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 first-fluke/oh-my-agent --skill oma-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/oma-search, .gemini/skills/oma-search, .github/skills/oma-search and .opencode/skills/oma-search in your project.

What does Oma Search need to run?

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

Does Oma 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 Oma 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 Oma Search use?

Oma 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 Oma Search use?

About 1.2k tokens (SKILL.md is roughly 4.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.9k tokens, read only when the agent opens those files.

What are the alternatives to Oma Search?

Skills that share tags, products or a category with Oma Search: Codebase Knowledge Graph Q&A (Egonex-AI/Understand-Anything, 86k stars), Understand Explain (Egonex-AI/Understand-Anything, 86k stars), Project Onboarding Guide from Knowledge Graph (Egonex-AI/Understand-Anything, 86k stars) and GitDiagram Repository Overview (ahmedkhaleel2004/gitdiagram, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Oma Search?

first-fluke (a GitHub organization) maintains it in first-fluke/oh-my-agent, which has 1,336 GitHub stars. The repository holds 57 skills in this directory. The repository was last updated on October 10, 2026.

Source: first-fluke/oh-my-agent on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.