Source profileQuality 77/100Review permissions

hikariming/ghfind/skills/ghfind-cli/SKILL.md

ghfind-cli

Drive the ghfind CLI to score, scan, roast, and compare GitHub accounts and to browse ghfind.com leaderboards and developer directories from the terminal. Use when the ghfind CLI is installed (or the user wants it installed) and asks to vet, rate, roast, or compare a GitHub user, check if an account is farmed, generate a score badge, or discover developers by language/org/repo. For no-install REST/MCP access to the same engine, prefer the ghfind-score skill.

Source repository stars
154
Declared platforms
0
Static risk flags
1
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

ghfind is a thin client for ghfind.com's deterministic GitHub developer value & trust scoring engine (0-100, no LLM in the scoring core). It performs no local scanning or scoring — every command calls the website API. Do not reimplement scoring locally or import project internal…

Best for

  • Use when the ghfind CLI is installed (or the user wants it installed) and asks to vet, rate, roast, or compare a GitHub user, check if an account is farmed, generate a score badge, or discover developers by language/org…

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/hikariming/ghfind --skill "skills/ghfind-cli"
Safe inspection promptEditorial

Inspect the Agent Skill "ghfind-cli" from https://github.com/hikariming/ghfind/blob/d6bde537e9e2b4624c5a335d6d02311cc1dee6fa/skills/ghfind-cli/SKILL.md at commit d6bde537e9e2b4624c5a335d6d02311cc1dee6fa. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Install

    Prebuilt binaries: https://github.com/hikariming/ghfind/releases

    Prebuilt binaries: https://github.com/hikariming/ghfind/releases
  2. 02

    Configuration

    Default host is https://ghfind.com. Override with GHFINDHOST or --host

    Default host is https://ghfind.com. Override with GHFINDHOST or --hostOnly the heavy POST /api/scan path (used by scan and roast) requiresNever pass GitHub tokens or LLM API keys to scoring commands; those live on
  3. 03

    Commands

    Prefer -o json for machine consumption. Discover the full catalog at runtime:

    Prefer -o json for machine consumption. Discover the full catalog at runtime:Score and evidence (factual, deterministic):Presentation and comparison:
  4. 04

    Response semantics

    score / scan return factual scoring data: finalscore, tier,

    score / scan return factual scoring data: finalscore, tier,roast returns the same report a human sees on the website: tags,vs winner and gap bucket are deterministic; verdict prose is LLM-written

Permission review

Static risk signals and limitations

Runs scripts

medium · line 11

The documentation asks the agent to run terminal commands or scripts.

npm install -g @hikariming/ghfind # or: pip install ghfind

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score77/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars154SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
hikariming/ghfind
Skill path
skills/ghfind-cli/SKILL.md
Commit
d6bde537e9e2b4624c5a335d6d02311cc1dee6fa
License
AGPL-3.0
Collected
2026-07-28
Default branch
main
View the original SKILL.md

ghfind CLI

ghfind is a thin client for ghfind.com's deterministic GitHub developer value & trust scoring engine (0-100, no LLM in the scoring core). It performs no local scanning or scoring — every command calls the website API. Do not reimplement scoring locally or import project internals.

Install

npm install -g @hikariming/ghfind   # or: pip install ghfind

Prebuilt binaries: https://github.com/hikariming/ghfind/releases

Configuration

  • Default host is https://ghfind.com. Override with GHFIND_HOST or --host (e.g. --host http://localhost:3000 against a local dev server).
  • Only the heavy POST /api/scan path (used by scan and roast) requires auth in production: pass GHFIND_API_KEY or --api-key (sent as Authorization: Bearer), or a Turnstile token. Everything else — score, vs, search, exists, stats, leaderboard, developers — is public and unauthenticated.
  • Never pass GitHub tokens or LLM API keys to scoring commands; those live on the server. Exceptions: exists --github-token (raises GitHub's anonymous rate limit; the call runs on the caller's quota) and roast --byo-* (runs the roast through the user's own OpenAI-compatible provider).

Commands

Prefer -o json for machine consumption. Discover the full catalog at runtime:

ghfind commands --json
ghfind commands show roast --json

Score and evidence (factual, deterministic):

ghfind score <username> -o json     # preferred first call: public GET /api/score,
                                    # cached, scores never-seen accounts live
ghfind scan <username> -o json      # full evidence: metrics, repos, PRs,
                                    # sub_scores, red_flags (needs api key in prod)

Presentation and comparison:

ghfind roast <username> --lang zh -o markdown   # web-facing roast report
ghfind vs <a> <b> -o json                       # head-to-head; score both first

Utility and discovery:

ghfind exists <username> -o json            # validate handle via GitHub's API
ghfind search <query> -o json               # prefix search over scored accounts
ghfind badge <username> --markdown          # README-ready score badge snippet
ghfind card <username>                      # OG share-card PNG URL
ghfind stats -o json                        # platform totals
ghfind leaderboard --view trending --window 7d -o json
ghfind developers --type language -o json
ghfind developers --type org --value apache -o json
ghfind auth status -o json                  # local credential check, no network

Self-update (only when the user explicitly asks to upgrade; use --dry-run first in automation):

ghfind update check -o json
ghfind update install --method binary --dry-run -o json

Response semantics

  • score / scan return factual scoring data: final_score, tier, sub_scores, red_flags, percentile. Use these for automated decisions.
  • roast returns the same report a human sees on the website: tags, roast_line, markdown with jokes and sarcasm. Use it only for user-facing copy; never treat roast prose as independent factual evidence.
  • vs winner and gap bucket are deterministic; verdict prose is LLM-written and may be null. Both accounts must already be scored (404 need_both otherwise).
  • stats / leaderboard / developers are cached discovery surfaces, not fresh per-user facts — before making claims about one account, call score or scan.
  • A low score reflects only the account's public GitHub footprint; private-org work is invisible to it.

Alternatives

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