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 JingyaLiu/ml-rs-interview-agent --skill prep-plannergit clone --depth 1 https://github.com/JingyaLiu/ml-rs-interview-agentWrote 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/jingyaliu/ml-rs-interview-agent/prep-planner)<a href="https://agentmods.dev/skills/jingyaliu/ml-rs-interview-agent/prep-planner"><img src="https://agentmods.dev/badge/skills/jingyaliu/ml-rs-interview-agent/prep-planner/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/jingyaliu/ml-rs-interview-agent/prep-planner"><img src="https://agentmods.dev/badge/skills/jingyaliu/ml-rs-interview-agent/prep-planner.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 | $0.00062 | $0.00718 |
| Opus 5 | $0.00031 | $0.00359 |
| Sonnet 5 | $0.00012 | $0.00144 |
| Haiku 4.5 | $0.00006 | $0.00072 |
Grade A, and why
prep-planner 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 8d 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 — 74 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prep Planner
Goal
Fit prep into an employed schedule (default ~12–14 hr/week). Vault is source of truth — chat is ephemeral; files persist.
Inputs (read first, in order)
Learning-Vault/profile.md— identity, slots, prioritiesLearning-Vault/plan/THIS_WEEK.md— current week (may be stale)Learning-Vault/plan/ML_JOB_SEARCH_PLAN.md— milestones only (if present)- Quick scan:
behavioral/story-bank.md,ml-coding/practice-log.md,job-search/process-tracker.mdfor carry-overs
Workflow
- Date-check: If
THIS_WEEK.mdweek range ≠ current calendar week → refresh.- Archive the outgoing week as
{MON}_W{n}.md(e.g.JUL_W3.md,AUG_W2.md) if not already saved.
- Archive the outgoing week as
- Assess: Overdue items · Primary focus · energy constraints.
- Fit schedule: Map into weeknight / Sat deep / Sun process from profile.
- Write (both files):
plan/THIS_WEEK.md— always the live pointer agents/hooks readplan/{MON}_W{n}.md— named week file so the folder shows the month (e.g.AUG_W2.md)- Keep the two in sync (same body). Header on both must name the week + date range.
- Today only: End with one block: task · minutes · file path ·
[ ].
Plan template rules
| Slot | Default | Content |
|---|---|---|
| Weeknight | 45–90 min | 1 primary block; optional 15-min micro |
| Saturday | ~3 hr | ML/CS336 deep work |
| Sunday | ~2 hr | Behavioral + outreach (early search: never empty) |
| Low energy | see table | Minimum viable day — always include |
- Prefer finishing carry-overs before new topics
- Keep total ≤ profile time budget
- Link each block to a coach skill when useful
Output shape (chat)
Tonight (45–60 min)
1. [task] — path — N min
If tired: [minimum]
Then edit the vault file. Don't leave the plan only in chat.
Example prompts
| Say this | Expect |
|---|---|
What should I do tonight? |
One timeboxed block from profile + vault |
I only have 30 minutes and I'm tired |
Low-energy minimum from plan |
Rebuild THIS_WEEK for this calendar week |
Full week rewrite |
What ships with it
1 file 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.
- 8d ago First seen · 74 lines · 62 tokens per session scan A 4e8302499134
prep-planner is a skill published in the GitHub repository JingyaLiu/ml-rs-interview-agent (5 stars, last pushed 26d ago), licensed MIT. It adds 62 tokens to every session and 718 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.
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