training-roi

training-roi is a skill for Claude Code from tmargolis/career-navigator. It costs 43 tokens per session (784 once invoked), scanned A, original, Apache-2.0.

A cost-benefit-time comparison for choosing among certifications, degrees, bootcamps, and self-study.

In plain words
What is it for?
Use it to compare training options against a person’s profile, experience, target roles, and—when available—application progress.
Why use it?
It helps decide whether a learning investment is likely to support a target role within the available budget and timeline.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the career-navigator plugin — 46 skills, 3 MCP servers shipped together

Good fit Use it to compare training options against a person’s profile, experience, target roles, and—when available—application progress.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/tmargolis/career-navigator/training-roi
Install

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.

Any agent
npx skills add tmargolis/career-navigator --skill training-roi
Clone the repo
git clone --depth 1 https://github.com/tmargolis/career-navigator

Made for: Claude Code.

Or install career-navigator, the plugin that ships this one along with the rest of its 46 skills, 3 MCP servers.

Wrote 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.

agentmods badge for training-roi

README.md
[![agentmods](https://agentmods.dev/badge/skills/tmargolis/career-navigator/training-roi/github.svg)](https://agentmods.dev/skills/tmargolis/career-navigator/training-roi)
Your own site
<a href="https://agentmods.dev/skills/tmargolis/career-navigator/training-roi"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/training-roi/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.

agentmods 80×15 button for training-roi

Your own site · 80×15
<a href="https://agentmods.dev/skills/tmargolis/career-navigator/training-roi"><img src="https://agentmods.dev/badge/skills/tmargolis/career-navigator/training-roi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 784 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00043 $0.00784
Opus 5 $0.00022 $0.00392
Sonnet 5 $0.00009 $0.00157
Haiku 4.5 $0.00004 $0.00078

Measured 9d ago against content hash b94fe3b8950c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

training-roi 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.

skills/training-roi/SKILL.md · 98 lines

How it starts

The opening of the file, as written. The whole thing — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Invoke honest-advisor in training-roi mode to compare learning options and recommend the highest-ROI path for the user's target role.

Workflow

1. Confirm baseline context

Application data uses the split layout defined in references/tracker-schema.md — read it before any read or write.

Read:

  • {user_dir}/CareerNavigator/profile.md
  • {user_dir}/CareerNavigator/ExperienceLibrary.json

If target roles are missing:

"I need your target role(s) to run a training ROI analysis. Run /career-navigator:launch (or update CareerNavigator/profile.md) first."

If ExperienceLibrary units are missing/empty:

"I need your ExperienceLibrary to estimate learning ROI. Run /career-navigator:add-source to add a resume first."

Optionally read {user_dir}/CareerNavigator/tracker.json for confidence and bottleneck context. The summary rows carry everything this skill needs — status, outcome, latest_stage, and latest_stage_date show where applications stall, so do not open any detail_file.

2. Gather optional constraints

If not already provided in conversation, ask once:

"Do you want me to optimize for a specific budget and timeline? If yes, share your max budget and ideal timeline (for example: '$3k and 4 months')."

Proceed even if user does not provide constraints.

3. Invoke honest-advisor — training-roi mode

For each target role (or the explicitly requested role), hand off to honest-advisor with:

  • analysis_mode: training-roi
  • target_role_type
  • target_level (if known/inferred)
  • target_geography
  • time_horizon_months (if provided; else default 12)
  • budget_range (if provided)

Instruction:

  • Compare certifications, degrees, bootcamps, and self-study.
  • Produce a cost-benefit-time option matrix with ROI score.
  • Recommend a primary path and fallback path.
  • Include explicit assumptions and data gaps.

4. Present the recommendation engine output

Render as:

**Training ROI Analysis** — {Target Role}
Time horizon: {n months}
Budget: {value or "not provided"}
Confidence: {Preliminary / Directional / Moderate / High}

Top capability gaps
1. ...
2. ...

Option matrix (cost-benefit-time)
| Path | Type | Estimated cost | Estimated time | Signal strength | ROI score | Key risks |
|---|---|---|---|---|---:|---|
| ... |

Recommended plan
- Primary path: ...
- Fallback path: ...
- First 30 days: ...
- Proof artifacts to create: ...

Assumptions and data gaps
- ...

Read the full file on GitHub · 98 lines

Changes

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.

  1. 9d ago First seen · 98 lines · 43 tokens per session scan A b94fe3b8950c

Subscribe to this mod's changes

training-roi is a skill published in the GitHub repository tmargolis/career-navigator (13 stars, last pushed 10d ago), licensed Apache-2.0. It adds 43 tokens to every session and 784 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

hr-onboarding

A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".

nexu-io/open-design · 62 tokens

book-mirror

Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…

garrytan/gbrain · 138 tokens

miniapp

Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.

yc-software/qm · 25 tokens

eli5

Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.

companion-inc/feynman · 63 tokens

deck-course-module

A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.

nexu-io/html-anything · 25 tokens

master-yinguang

A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.

xr843/Master-skill · 274 tokens