gift-advisor

gift-advisor is a skill for Claude Code, Codex from JayRHa/AgentSkills. It costs 99 tokens per session (1,022 once invoked), scanned A, original, MIT.

A guide for choosing personalized gifts based on the recipient, relationship, occasion, interests, and budget.

In plain words
What is it for?
Use it to rank gift ideas, explain why they fit, provide price tiers and backup choices, and account for constraints such as allergies, dislikes, or limited space.
Why use it?
It replaces generic suggestions with specific options that fit the person and the meaning of the occasion.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to rank gift ideas, explain why they fit, provide price tiers and backup choices, and account for constraints such as allergies, dislikes, or limited space.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jayrha/agentskills/gift-advisor
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add JayRHa/AgentSkills --skill gift-advisor
Clone the repo
git clone --depth 1 https://github.com/JayRHa/AgentSkills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gift-advisor

README.md
[![agentmods](https://agentmods.dev/badge/skills/jayrha/agentskills/gift-advisor/github.svg)](https://agentmods.dev/skills/jayrha/agentskills/gift-advisor)
Your own site
<a href="https://agentmods.dev/skills/jayrha/agentskills/gift-advisor"><img src="https://agentmods.dev/badge/skills/jayrha/agentskills/gift-advisor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gift-advisor

Your own site · 80×15
<a href="https://agentmods.dev/skills/jayrha/agentskills/gift-advisor"><img src="https://agentmods.dev/badge/skills/jayrha/agentskills/gift-advisor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 99 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,022 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00099 $0.01022
Opus 5.5 $0.00040 $0.00409
Sonnet 5.5 $0.00020 $0.00204
Haiku 4.5 $0.00010 $0.00102

Measured 1mo ago against content hash d01d60c9a882, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

gift-advisor scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

gift-advisor/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gift Advisor

Overview

This skill generates thoughtful, specific gift recommendations matched to a particular person and occasion — not generic "scarf or gift card" lists. It profiles the recipient, applies gifting principles (thoughtfulness over price, experiences over clutter, match the relationship), and returns ranked ideas with reasoning, price tiers, and safe fallbacks.

Keywords: gift ideas, present, birthday gift, anniversary, holiday gift, Christmas, what to buy, gift for him/her, secret santa, housewarming, wedding gift, thoughtful gift.

When to use vs. not

Use this to brainstorm and narrow gift choices for any recipient/occasion/budget. It can't see live stock or prices — tell the user to confirm availability and current price. For high-value or very personal purchases (jewelry, tech), suggest verifying preferences/sizes/returns.

Inputs to gather first

  1. Who — relationship to the user, age, gender if relevant.
  2. Occasion and how much it "should" signal (a coworker's farewell ≠ a 10th anniversary).
  3. Budget (and currency).
  4. Interests, hobbies, recent life events, and things they've mentioned wanting.
  5. Constraints — allergies, space, dislikes, what they already own, delivery deadline.

Workflow

  1. Profile the recipient. Pull out concrete signals: hobbies, current obsessions, pain points (what annoys them daily — solving it is a great gift), aspirations, recent milestones. The more specific the input, the better the gift.
  2. Calibrate to the relationship + occasion. Match intimacy and price to the bond — a sentimental gift is wonderful from a partner, odd from a new colleague. See references/gift-principles.md.
  3. Generate across categories. Brainstorm widely first: experiences, hobby upgrades, consumables/luxuries they won't buy themselves, sentimental/personalized, practical-but-delightful, and "solve a daily annoyance." See references/idea-categories.md.
  4. Rank and justify. Pick the top 3–5, each with a one-line why it fits this person, a price tier, and where it lands on the safe↔bold spectrum.
  5. Add a fallback + a presentation idea. Always include one low-risk option and a tip on wrapping/timing/a handwritten note (the note often matters more than the object).
  6. Sanity-check. Within budget? Available in time? Avoids known dislikes/allergies/duplicates? Appropriate for the relationship?

Read the full file on GitHub · 59 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 59 lines · 99 tokens per session scan A d01d60c9a882

Subscribe to this mod's changes

gift-advisor is a skill published in the GitHub repository JayRHa/AgentSkills (12 stars, last pushed 2mo ago), licensed MIT. It adds 99 tokens to every session and 1,022 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

cost-optimizer

Trigger when the user asks to audit Claude Code costs, reduce token spend, says "my Claude bill is too high", "optimize my CLAUDE.md", "why is this project burning tokens", or "/cost-optimizer". Scans a project for the common Claude Code cost leaks and returns a prioritized fix list.

mergisi/awesome-openclaw-agents · 69 tokens

excalidraw-architecture

Trigger when the user asks for an architecture diagram, says "draw the system", "update the architecture diagram", "give me an excalidraw of this codebase", or "/excalidraw-architecture". Generates or updates an Excalidraw JSON file at docs/architecture.excalidraw by reading the codebase's key entry points.

mergisi/awesome-openclaw-agents · 78 tokens

model-cost-compare

Trigger when the user asks which model to use, wants to compare model costs, says "what's cheapest for this task", "should I use Opus or Sonnet", "can a smaller model handle this", or "/model-cost-compare". Estimates token cost across Opus 4.6, Sonnet 4.6, GLM-5.1, Minimax M2.7, and local Gemma 4, then recommends the…

mergisi/awesome-openclaw-agents · 104 tokens

openclaw-debugger

Trigger when an OpenClaw agent is broken, silent, crashing, stuck, not responding, returning empty output, or the user says "my agent is down", "agent not working", "/openclaw-debugger". Walks through the standard OpenClaw 2026.4 diagnosis checklist and prints a report.

mergisi/awesome-openclaw-agents · 71 tokens

git-commit-writer

Trigger when the user asks to write a commit message, generate a commit from staged changes, review a diff before committing, or says "/commit". Reads git diff --staged and produces an opinionated, convention-matching commit message.

mergisi/awesome-openclaw-agents · 53 tokens

growth-ideas

Describe your product or project and get three actionable growth ideas tailored to your stage.

mergisi/awesome-openclaw-agents · 20 tokens