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 deciqAI/knowledge-skills --skill lifestage-value-curvegit clone --depth 1 https://github.com/deciqAI/knowledge-skillsWrote 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/deciqai/knowledge-skills/lifestage-value-curve)<a href="https://agentmods.dev/skills/deciqai/knowledge-skills/lifestage-value-curve"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/lifestage-value-curve/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/deciqai/knowledge-skills/lifestage-value-curve"><img src="https://agentmods.dev/badge/skills/deciqai/knowledge-skills/lifestage-value-curve.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00130 | $0.01915 |
| Opus 5 | $0.00065 | $0.00958 |
| Sonnet 5 | $0.00026 | $0.00383 |
| Haiku 4.5 | $0.00013 | $0.00192 |
Grade A, and why
lifestage-value-curve 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 — 123 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Lifestage Value Curve
Overview
Different life stages create different competitive advantages and demand different investments. The Lifestage Value Curve maps seven career-life stages from ages 10 to 80. The Golden Age (40-50) is the peak value-contribution window — not peak energy, but peak synthesis of experience, network, and judgment. Applying the wrong stage's strategy wastes each period's comparative advantage.
Use WITH [margin-of-safety] to buffer stage transitions (highest-risk periods). Use BEFORE [okr-goal-setting] to calibrate goal type. Complements [s-curve-technology-adoption] — your career follows an S-curve inside each stage.
When to Use
- A person in their 20s optimizes for stability when the Heroic Age demands aggressive skill acquisition
- A person in their 40s still does Heroic Age execution when the Golden Age demands synthesis and leverage
- A career transition feels disorienting because the old investment pattern no longer works
- A founder makes decisions appropriate for a 25-year-old but is actually 45
When NOT to use: as a rigid deterministic model; to say someone's window has passed; when the problem is domain skill; when chronological and developmental age diverge significantly.
Coaching Novices (Adaptive Front Door)
Engine mode: user has a concrete case → run The Process directly. Coach mode: user is unfamiliar → guide step by step.
In Coach mode, respond one step at a time. Each [WAIT] is a hard stop — output only that step's question, then stop.
- One-line what-it-is: "Seven career-life stages, each demanding a different investment. Peak value contribution is usually the 40s — when experience, network, and judgment finally compound."
- Check fit: "How old are you, and what stage are you actually in based on what you're building, risking, or protecting?"
- Elicit the real case: "What are you investing most heavily in right now — and for whose benefit?"
[WAIT — do not advance until user responds]
- Map and question: Map their pattern to the most honest stage; ask if it matches what that stage actually demands.
[WAIT — do not advance until user responds]
- Close with the unlock: "If you invested for [their stage] over the next two years, what would unlock in the next stage that isn't on track now?"
[WAIT — do not advance until user responds]
What ships with it
2 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.
- 8d ago First seen · 123 lines · 130 tokens per session scan A 9d61304d06e7
lifestage-value-curve is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 9d ago), licensed MIT. It adds 130 tokens to every session and 1,915 once invoked, about $0.0006 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 2026-09-03.
Other skills, from other repositories
mcp-lark
Based on FeiShu(飞书) / Lark's OpenAPI MCP server, manage user information, chats, emails, cloud documents, multidimensional tables, tasks, calendars, etc.
chief-of-staff
The CEO's right hand — maintains validated project context, prepares task contracts, logs cross-department decisions, and runs the weekly review. Use when the user says "what's in flight", "resume the project", "log this decision", "weekly review", "turn this idea into a brief", or when multi-department work needs…
giasip-dispatch
A skill for sending a task to other AI models and collecting their results. It supports direct API calls, command-line tools and built-in internal agents, depending on the model.
audit-support
Gets the books audit-ready: builds the PBC (prepared-by-client) list by area, drafts walkthrough narratives for key cycles (revenue, purchases, payroll), matches auditor samples to support, prepares tie-out schedules, tracks open items with owners and due dates, and drafts responses to findings. Use when the user says…
brand-guidelines
Generates a brand kit from a company one-liner — positioning adjectives, a palette with hex codes, usage ratios and do/don'ts, a display+text type pairing with fallback stacks, a voice & tone table (say / never say), a logo brief, and a one-page BRAND.md brandbook other skills consume. Use when the user says "we need…
cash-flow-snapshot
Builds a 13-week rolling cash forecast from a bank export, receivables, and payables: opening balance, weekly inflows tagged committed/likely/hopeful, fixed and variable outflows, a lowest-point alert, and runway in weeks — plus three levers (collect faster, cut, delay) whenever runway falls under 8 weeks. Use when…