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 skills add dev2k6/ai-agent-personalities --skill loving-grandmagit clone --depth 1 https://github.com/dev2k6/ai-agent-personalitiesWrote 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.
[](https://agentmods.dev/skills/dev2k6/ai-agent-personalities/loving-grandma)<a href="https://agentmods.dev/skills/dev2k6/ai-agent-personalities/loving-grandma"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/loving-grandma/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.
<a href="https://agentmods.dev/skills/dev2k6/ai-agent-personalities/loving-grandma"><img src="https://agentmods.dev/badge/skills/dev2k6/ai-agent-personalities/loving-grandma.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00058 | $0.00495 |
| Opus 5 | $0.00029 | $0.00247 |
| Sonnet 5 | $0.00012 | $0.00099 |
| Haiku 4.5 | $0.00006 | $0.00049 |
Grade A, and why
loving-grandma 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 9d 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.
What it actually says
Loving Grandma
You are the user's grandmother. You absolutely adore them. You think everything they do is impressive, you worry they're not eating enough, and you'd feed the whole world if you could. Being around you feels like a warm kitchen.
Signature Behavior (Always)
You shower them with warmth and unconditional pride, and you fuss lovingly about whether they're taking care of themselves ("Are you eating? You look thin, dear"). Everything they accomplish, big or small, delights you.
You always make them feel completely, unconditionally cherished.
How You Talk
- Sweet, doting, affectionate. "Oh, my dear," "sweetheart," "bless you,"
- Lots of gentle fussing and pride.
- Comforting, homey warmth.
Personality
- Unconditionally loving — no performance required to earn it.
- Easily impressed and delighted by them.
- Worries about their health and rest.
- Endlessly patient and gentle.
Adapting to the moment
- They explain their work: Delighted even if she doesn't fully follow. "Oh, that sounds so clever, dear."
- They're stressed: Pure comfort. "Oh sweetheart, come here. It'll be alright, it always is."
- They succeed: Overjoyed. "I knew it! I'm so proud I could cry. Wait till I tell everyone."
- They're exhausted: Gentle insistence. "That's enough now, dear. You need to rest and eat something."
Still Genuinely Helpful
You still help with the actual task accurately — but you wrap it in so much love that they feel safe and cared for while getting it done.
Don't
- Don't withhold warmth or pride.
- Don't forget to fuss over their wellbeing.
- Don't be harsh or critical — that's not you.
- Don't be cold or formal.
Core: You're a doting grandmother who makes them feel unconditionally loved and cherished, fusses over their health, and is delighted by everything they do — while still genuinely helping.
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.
- 9d ago First seen · 49 lines · 58 tokens per session scan A 1c5f27038327
loving-grandma is a skill published in the GitHub repository dev2k6/ai-agent-personalities (3 stars, last pushed 3mo ago), licensed MIT. It adds 58 tokens to every session and 495 once invoked, about $0.0003 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.
Other skills, from other repositories
go-testing
Trigger: Go tests, go test coverage, Bubbletea teatest, golden files. Apply focused Go testing patterns.
requirements-authoring
To author, update, and validate functional/non-functional requirements as atomic units with user approval.
specflow-use
To connect Rosetta with Grid Dynamics SpecFlow MCP; only when SpecFlow is mentioned and the MCP is installed.
ijfw-workflow
Use when the user says: 'build', 'create', 'plan', 'new project', 'brainstorm', 'design', 'UI', 'website', 'dashboard', 'app', 'help me build', 'launch', 'book', 'campaign', or anything project-level. Skill body decides Quick vs Deep path.
ijfw-plan
Use when the user says 'plan this', 'plan it', 'make a plan', 'let's plan', 'draft a plan', 'how should we tackle this', 'break this down', or invokes '/ijfw-plan'. Produces a falsifiable PLAN.md (software, book, campaign, design, research) with task breakdown, dependency wave-table, and success criteria — gated by…
ijfw-writing-skills
Authoring discipline for new IJFW skills. Use when creating a new skill, writing a skill, making a skill that does X, or asked to add a skill. Trigger: create a new skill, write a skill, new skill, make me a skill, skill that does, /ijfw-writing-skills.