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.
npx agentmods add skills/jayrha/agentskills/gift-advisornpx skills add JayRHa/AgentSkills --skill gift-advisorgit clone --depth 1 https://github.com/JayRHa/AgentSkillsWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00099 | $0.01022 |
| Opus 5 | $0.00049 | $0.00511 |
| Sonnet 5 | $0.00020 | $0.00204 |
| Haiku 4.5 | $0.00010 | $0.00102 |
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 2d 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.
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
- Who — relationship to the user, age, gender if relevant.
- Occasion and how much it "should" signal (a coworker's farewell ≠ a 10th anniversary).
- Budget (and currency).
- Interests, hobbies, recent life events, and things they've mentioned wanting.
- Constraints — allergies, space, dislikes, what they already own, delivery deadline.
Workflow
- 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.
- 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. - 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. - 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.
- 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).
- Sanity-check. Within budget? Available in time? Avoids known dislikes/allergies/duplicates? Appropriate for the relationship?
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.
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.
- 2d ago First seen · 59 lines · 99 tokens per session scan A d01d60c9a882
gift-advisor is a skill published in the GitHub repository JayRHa/AgentSkills (4 stars, last pushed 1mo ago), licensed MIT. It adds 99 tokens to every session and 1,022 once invoked, about $0.0005 per session on Opus 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.
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