Agent skill

Reference Hunt

by Neeeophytee in Neeeophytee/finding-unknowns-skills

Use existing source code as the specification when the user can't describe what they want in words.

MITAuto-check passed

Install Reference Hunt

skills CLI
$ npx skills add Neeeophytee/finding-unknowns-skills --skill reference-hunt -a claude-code

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

GitHub CLI
$ gh skill install Neeeophytee/finding-unknowns-skills reference-hunt --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/Neeeophytee/finding-unknowns-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/reference-hunt .claude/skills/reference-hunt && 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
reference-hunt
GitHub stars
343
Token cost
~476 tokens
SKILL.md length
250 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Use existing source code as the specification when the user can't describe what they want in words.

  • Works in 5 steps: Get the reference: a repo path, a… → Read the reference and produce a… → Have the user confirm the semantics… → …
  • Cant describe what they want in words
  • SKILL.md covers Steps and Guardrails
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Reference Hunt is an agent skill from Neeeophytee/finding-unknowns-skills. Use existing source code as the specification when the user can't describe what they want in words. Use when the user points at a library, module, folder, or site and says "like this," even if it's in a different language or stack.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: 14 installable skills for Claude Code, OpenAI Codex, and Hermes: find unknowns, clarify requirements, manage context, test assumptions, and verify bug fixes with regression… The licence is MIT.

When your agent uses it

  • Cant describe what they want in words
  • The user points at a library
  • Site and says like this
  • Even if its in a different language

Example prompts

  • “like this,”
  • “/reference-hunt”

Workflow steps

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

  1. Get the reference: a repo path, a vendored folder, a library name, or a site whose underlying code can be read. Ask what specifically to…
  2. Read the reference and produce a semantics summary before writing any code
  3. Have the user confirm the semantics summary. This is the moment misreadings get caught cheaply.
  4. Reimplement in the target stack: same semantics, native idioms. Do not transliterate line by line, and do not copy code verbatim from…
  5. Close the loop: list each behavior from the summary and where the new implementation honors it, plus any place you consciously diverged…

What it can do on your machine

Read from SKILL.md and the folder at commit ca5696a. 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.

    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

Reference Hunt loads about 476 tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 250 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~476

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 Neeeophytee/finding-unknowns-skills at commit ca5696a, republished under its MIT licence (© Neeeophytee). 250 words, ~476 tokens.

Download SKILL.mdSave it as .claude/skills/reference-hunt/SKILL.md (or your agent's skills folder).
name
reference-hunt
description
Use existing source code as the specification when the user can't describe what they want in words. Use when the user points at a library, module, folder, or site and says "like this," even if it's in a different language or stack.

Reference hunt

Some requirements are too intricate or too tacit to write down, but working code somewhere already embodies them. The best reference is not a screenshot or a description — it's source. Read it like a spec, then reimplement the semantics, not the syntax.

Steps

  1. Get the reference: a repo path, a vendored folder, a library name, or a site whose underlying code can be read. Ask what specifically to extract from it — behavior, structure, visual system, API shape — so you don't imitate the wrong dimension.
  2. Read the reference and produce a semantics summary before writing any code:
    • the behaviors and guarantees it implements (timing, ordering, error handling, edge cases),
    • the decisions that look deliberate versus incidental,
    • anything that won't translate to the target language or stack, with a proposed equivalent.
  3. Have the user confirm the semantics summary. This is the moment misreadings get caught cheaply.
  4. Reimplement in the target stack: same semantics, native idioms. Do not transliterate line by line, and do not copy code verbatim from references whose license doesn't allow it — note the license if it's unclear.
  5. Close the loop: list each behavior from the summary and where the new implementation honors it, plus any place you consciously diverged and why.

Guardrails

  • The reference defines what; the target codebase's conventions define how.
  • If the reference itself turns out to be buggy or inconsistent, surface that instead of faithfully reproducing the bug.
  • Respect licenses: extracting semantics is fine; copying incompatible code is not.

© Neeeophytee, 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/reference-hunt of Neeeophytee/finding-unknowns-skills.

Open the folder on GitHubat commit ca5696a

Compare with similar skills

Reference Hunt 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.

Reference Hunt compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Reference Hunt this skillNeeeophytee/finding-unknowns-skills343—~476Automated safety check: PassMIT
Agent Specificationruvnet/ruflo74k3 repos~1.8kAutomated safety check: PassMIT
Hunt Fintech Graphqlsickn33/agentic-awesome-skills47k1 repos~3.9kAutomated safety check: PassMIT
Specificity Managementthedaviddias/Front-End-Checklist74k—~477Automated safety check: PassMIT
Hunt Graphqlsickn33/agentic-awesome-skills47k1 repos~5.7kAutomated safety check: PassMIT
Hunt Dispatchsickn33/agentic-awesome-skills47k1 repos~5kAutomated safety check: NotesMIT

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Questions about Reference Hunt

What does Reference Hunt do?

Use existing source code as the specification when the user can't describe what they want in words. Reference Hunt is an agent skill from Neeeophytee/finding-unknowns-skills. Use existing source code as the specification when the user can't describe what they want in words.

When should I use Reference Hunt?

Reference Hunt fits situations like: cant describe what they want in words; the user points at a library; site and says like this; even if its in a different language.

How do I install Reference Hunt in Claude Code?

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

How do I install Reference Hunt in Codex?

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

Can I use Reference Hunt 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 Neeeophytee/finding-unknowns-skills --skill reference-hunt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/reference-hunt, .gemini/skills/reference-hunt, .github/skills/reference-hunt and .opencode/skills/reference-hunt in your project.

What does Reference Hunt need to run?

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

Does Reference Hunt 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 Reference Hunt 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 Reference Hunt use?

Reference Hunt 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 Reference Hunt use?

About 476 tokens (SKILL.md is roughly 1.9k 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 Reference Hunt?

Skills that share tags, products or a category with Reference Hunt: Agent Specification (ruvnet/ruflo, 74k stars), Hunt Fintech Graphql (sickn33/agentic-awesome-skills, 47k stars), Specificity Management (thedaviddias/Front-End-Checklist, 74k stars) and Hunt Graphql (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Reference Hunt?

Neeeophytee (a GitHub user) maintains it in Neeeophytee/finding-unknowns-skills, which has 343 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 28, 2026.

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