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 hoavdc/CodexKit --skill codexkit-training-needs-analyzergit clone --depth 1 https://github.com/hoavdc/CodexKitWrote 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/hoavdc/codexkit/codexkit-training-needs-analyzer)<a href="https://agentmods.dev/skills/hoavdc/codexkit/codexkit-training-needs-analyzer"><img src="https://agentmods.dev/badge/skills/hoavdc/codexkit/codexkit-training-needs-analyzer/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/hoavdc/codexkit/codexkit-training-needs-analyzer"><img src="https://agentmods.dev/badge/skills/hoavdc/codexkit/codexkit-training-needs-analyzer.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 | $0.00054 | $0.01391 |
| Opus 5.5 | $0.00022 | $0.00556 |
| Sonnet 5.5 | $0.00011 | $0.00278 |
| Haiku 4.5 | $0.00005 | $0.00139 |
Grade A, and why
codexkit-training-needs-analyzer 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 1mo 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 — 160 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Training Needs Analyzer
When to Use
- When identifying skill gaps across teams or departments
- When building an annual training plan or L&D roadmap
- When leadership asks "what training do we need and why?"
- When evaluating ROI of existing training programs
Procedure
Step 1 — Performance Gap Analysis
Identify the gap between current and desired performance:
| Role / Team | Current Performance | Desired Performance | Gap | Business Impact |
|---|---|---|---|---|
| Sales reps | 25% close rate | 35% close rate | 10 pts | $2M revenue |
| Support | 4h avg response | 1h avg response | 3h | CSAT: 72→85 |
Source gap data from:
- Performance reviews
- Skill assessments
- Manager interviews
- Customer feedback / escalation data
- Industry benchmarks
Step 2 — Root Cause Check
Not every gap is a training problem. Check:
| Root Cause | Training Solution? | Alternative |
|---|---|---|
| Lack of knowledge | ✅ Yes | — |
| Lack of skill/practice | ✅ Yes | — |
| Lack of motivation | ❌ No | Management, incentives |
| Process/tool issues | ❌ No | Process redesign, tooling |
| Unclear expectations | ❌ No | Role clarity, OKRs |
Only proceed with training for genuine knowledge/skill gaps.
Step 3 — Learning Objectives (Bloom's Taxonomy)
Write measurable objectives at the right cognitive level:
| Level | Verb | Example Objective |
|---|---|---|
| Remember | List, identify | List the 5 steps of the sales process |
| Understand | Explain, describe | Explain why discovery questions improve win rate |
| Apply | Use, demonstrate | Apply the SPIN framework in a mock call |
| Analyze | Compare, diagnose | Diagnose why a deal stalled and recommend next step |
| Evaluate | Assess, critique | Assess a proposal for alignment with client needs |
| Create | Design, build | Design a custom proposal for a complex enterprise deal |
Step 4 — Delivery Recommendation
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.
- 1mo ago First seen · 160 lines · 54 tokens per session scan A d5ec7b35373e
codexkit-training-needs-analyzer is a skill published in the GitHub repository hoavdc/CodexKit (26 stars, last pushed 16d ago), licensed MIT. It adds 54 tokens to every session and 1,391 once invoked, about $0.0002 per session on Opus 5.5. 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.
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