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/nocodework/ai-context-kit/personal-contextnpx skills add nocodework/ai-context-kit --skill personal-contextgit clone --depth 1 https://github.com/nocodework/ai-context-kitWrote 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/nocodework/ai-context-kit/personal-context)<a href="https://agentmods.dev/skills/nocodework/ai-context-kit/personal-context"><img src="https://agentmods.dev/badge/skills/nocodework/ai-context-kit/personal-context.svg" alt="Measured on agentmods" 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 | $0.00097 | $0.01183 |
| Opus 5 | $0.00048 | $0.00592 |
| Sonnet 5 | $0.00019 | $0.00237 |
| Haiku 4.5 | $0.00010 | $0.00118 |
Grade A, and why
personal-context 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 4d 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 — 55 lines — stays where its author put it; the contents beside it link to each section on GitHub.
personal-context — build a reusable "about me" file
Your job is to interview the user briefly and write a clean personal-context.md they can feed into any AI tool (ChatGPT/Claude/Gemini Projects, CLAUDE.md, Cursor rules, or just pasted into a chat).
If personal-context.md already exists in the current directory, read it first, give the user a two-line summary, and ask what has changed — then update those parts and refresh the Last updated line. Don't re-run the interview from scratch and don't overwrite their file without confirmation.
How to run the interview
- Ask in small batches (3–5 questions at a time), not all at once. Keep it conversational.
- Interview and write the file in the user's language — if they write in Polish, ask and write in Polish.
- Use what you already know (their messages, the repo, git config) to pre-fill answers and just ask them to confirm — don't ask what you can infer.
- Sections 1, 3 and 7 (identity, day to day, how AI should help) are the core — cover them first, then offer the rest; a file with just the core is already useful, so let the user stop there if they want.
- On "I don't know": give one concrete example answer; if they still don't know, skip the point and move on — don't push.
- After the core questions, proactively suggest gaps: "Here's what would also make this more useful — want to add any?" and name 2–4 specific things they haven't covered.
- Keep it respectful of privacy. Personal details (age, location) are optional — offer, never insist.
- When they're done, write the file (see Output). Keep their own words and tone where possible.
What to cover
- Identity — name, role/title, company or what they do, location and languages (optional).
- Background — a 2–3 sentence bio, years of experience, domains of real expertise, a couple of notable wins.
- Day to day — main responsibilities, what they're focused on right now, current projects.
- How they work — working style, how they make decisions, tools they rely on, strengths, and what they prefer to delegate or avoid.
- Communication & voice — tone (formal/casual), who they usually write for, words/phrases they like and ones they avoid.
- Goals — what they're working toward (next 6–12 months and longer), what "success" looks like.
- How AI should help them — preferred answer style and format, level of detail, things AI should always do, and things it should never do.
- Anything else — an open prompt for what they want any AI to know about them.
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.
- 4d ago First seen · 55 lines · 97 tokens per session scan A 7d26104f8708
personal-context is a skill published in the GitHub repository nocodework/ai-context-kit (24 stars, last pushed 1mo ago), licensed MIT. It adds 97 tokens to every session and 1,183 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 2026-08-30.
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