Agent skill

Agentifind Benchmark

by AvivK5498 in AvivK5498/beads-web

Create a benchmark to measure CODEBASE.md effectiveness. An agent skill from AvivK5498/beads-web.

No licenceAuto-check passedAgent Workflows

Install Agentifind Benchmark

skills CLI
$ npx skills add AvivK5498/beads-web --skill agentifind-benchmark -a claude-code

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

GitHub CLI
$ gh skill install AvivK5498/beads-web agentifind-benchmark --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/AvivK5498/beads-web.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/agentifind/skills/agentifind_benchmark .claude/skills/agentifind-benchmark && 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
agentifind-benchmark
GitHub stars
103
Token cost
~6.5k tokens
SKILL.md length
856 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
None found

At a glance

Create a benchmark to measure CODEBASE.md effectiveness. An agent skill from AvivK5498/beads-web.

  • Works in 7 steps: Verify Prerequisites → Detect Repo Type and Tech Stack → Create Hooks Directory → …
  • Tasks that involve Subagents
  • SKILL.md covers Prerequisites, Procedure, Notes and Technical Limitations
  • Calls jq

What it does

Agentifind Benchmark is an agent skill from AvivK5498/beads-web. Create a benchmark to measure CODEBASE.md effectiveness. Sets up hooks to run two parallel agents (one with guide, one without) and compare their efficiency. Requires /agentifind to be run first.

Its SKILL.md is about 6.5k 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 Agent Workflows, covering Subagents. The repository describes itself as: A visual Kanban UI for Beads CLI — built with Next.js + Rust. Real-time sync, epic tracking, Git Ops and multi-project dashboard.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “/agentifind-benchmark”

Workflow steps

7 steps, taken from the step headings in SKILL.md.

  1. Verify Prerequisites
  2. Detect Repo Type and Tech Stack
  3. Create Hooks Directory
  4. Create Hook Scripts
  5. Create settings.json
  6. Create Benchmark Tasks
  7. Report Completion

What it can do on your machine

Read from SKILL.md and the folder at commit d76ada4. 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

    Shell commands in SKILL.md call:

    • jq

    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

Agentifind Benchmark loads about 6.5k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 856 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~6.5k

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 856 words (~6,521 tokens).

“This skill creates a benchmark infrastructure to measure how effectively CODEBASE.md helps AI agents navigate your codebase.”

— opening of SKILL.md by AvivK5498
name
agentifind-benchmark

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/agentifind/skills/agentifind_benchmark of AvivK5498/beads-web.

Open the folder on GitHubat commit d76ada4

Compare with similar skills

Agentifind Benchmark 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.

Agentifind Benchmark compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agentifind Benchmark this skillAvivK5498/beads-web103—~6.5kAutomated safety check: PassNone
Claude Code Agent Developmentanthropics/claude-plugins-official38k7 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26137 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25840 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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More from AvivK5498/beads-web

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Categories

Questions about Agentifind Benchmark

What does Agentifind Benchmark do?

Create a benchmark to measure CODEBASE.md effectiveness. An agent skill from AvivK5498/beads-web. Agentifind Benchmark is an agent skill from AvivK5498/beads-web.md effectiveness.

When should I use Agentifind Benchmark?

Agentifind Benchmark fits situations like: tasks that involve Subagents.

How do I install Agentifind Benchmark in Claude Code?

Run `npx skills add AvivK5498/beads-web --skill agentifind-benchmark -a claude-code`. Or copy the skill folder (.claude/skills/agentifind/skills/agentifind_benchmark in AvivK5498/beads-web) into .claude/skills/agentifind-benchmark in your project. Claude Code loads it when a task matches its description.

How do I install Agentifind Benchmark in Codex?

Run `npx skills add AvivK5498/beads-web --skill agentifind-benchmark -a codex`. Or copy the skill folder (.claude/skills/agentifind/skills/agentifind_benchmark in AvivK5498/beads-web) into .agents/skills/agentifind-benchmark in your project. Codex loads it when a task matches its description.

Can I use Agentifind Benchmark 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 AvivK5498/beads-web --skill agentifind-benchmark -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agentifind-benchmark, .gemini/skills/agentifind-benchmark, .github/skills/agentifind-benchmark and .opencode/skills/agentifind-benchmark in your project.

What does Agentifind Benchmark need to run?

Going by SKILL.md and its folder, Agentifind Benchmark needs the command-line tools its instructions call (jq).

Does Agentifind Benchmark 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 Agentifind Benchmark 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 Agentifind Benchmark use?

No licence was found for Agentifind Benchmark or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Agentifind Benchmark use?

About 6.5k tokens (SKILL.md is roughly 26k 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 Agentifind Benchmark?

Skills that share tags, products or a category with Agentifind Benchmark: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agentifind Benchmark?

AvivK5498 (a GitHub user) maintains it in AvivK5498/beads-web, which has 103 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on May 19, 2026.

Source: AvivK5498/beads-web on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.