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 sachin0034-tech/mini-pm --skill job-strategygit clone --depth 1 https://github.com/sachin0034-tech/mini-pmWrote 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/sachin0034-tech/mini-pm/job-strategy)<a href="https://agentmods.dev/skills/sachin0034-tech/mini-pm/job-strategy"><img src="https://agentmods.dev/badge/skills/sachin0034-tech/mini-pm/job-strategy/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/sachin0034-tech/mini-pm/job-strategy"><img src="https://agentmods.dev/badge/skills/sachin0034-tech/mini-pm/job-strategy.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 | $0.00171 | $0.04587 |
| Opus 5 | $0.00086 | $0.02294 |
| Sonnet 5 | $0.00034 | $0.00917 |
| Haiku 4.5 | $0.00017 | $0.00459 |
Grade A, and why
job-strategy 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 10d 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 — 513 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Advanced AI Job Strategy Builder
This skill guides the user through a comprehensive, personalized job strategy to land an AI role. It is modeled on a proven 7-section strategy framework and adds advanced layers missing from basic templates: competitive benchmarking, personal brand building, network strategy, financial planning, skill gap analysis, and appendix support.
Go section by section — ask questions using ask_user_input, draft that section, confirm with the user, then move on. Do NOT front-load all questions at once.
WELCOME MESSAGE
"Welcome to your AI Job Strategy Workshop! 🎯 We'll build a full, personalized strategy together — section by section. I'll ask you targeted questions, then draft each part of your plan in real time. By the end, you'll have a complete document you can act on immediately. Let's go — starting with your current situation."
SECTION 1 — DIAGNOSIS
Goal: Deeply understand where the user is today — experience, domain, challenges, and market position.
Q1 — Experience Level
ask_user_input:
question: "Where would you place yourself right now in your career?"
type: single_select
options:
- "Student / Fresh graduate (0–1 yr)"
- "Early career (1–3 yrs, non-AI)"
- "Mid-career (3–7 yrs, non-AI)"
- "Senior (7+ yrs, non-AI)"
- "Already in tech/AI — looking to level up or pivot"
Q2 — Employment Status
ask_user_input:
question: "What's your current employment situation?"
type: single_select
options:
- "Employed in a relevant role"
- "Employed in an unrelated role"
- "Career gap (6 months+)"
- "Freelancing / Consulting"
- "Recently laid off"
Q3 — Domain Expertise
ask_user_input:
question: "Which domain do you bring the most credibility or depth in? (This will anchor your AI niche)"
type: single_select
options:
- "Healthcare / Biotech / Pharma"
- "Finance / Fintech / Banking"
- "Enterprise SaaS / B2B Software"
- "Consumer / E-commerce / Retail"
- "Manufacturing / Supply Chain / Logistics"
- "Education / EdTech"
- "Legal / GovTech / Public Sector"
- "No clear domain yet — still exploring"
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.
- 10d ago First seen · 513 lines · 0 tokens per session scan A 1b6f2c536351
job-strategy is a skill published in the GitHub repository sachin0034-tech/mini-pm (4 stars, last pushed 4mo ago), licensed MIT. It adds 171 tokens to every session and 4,587 once invoked, about $0.0009 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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