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 artem-from-ua/claude-plugins --skill technology-explainer-showgit clone --depth 1 https://github.com/artem-from-ua/claude-pluginsWrote 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/artem-from-ua/claude-plugins/technology-explainer-show)<a href="https://agentmods.dev/skills/artem-from-ua/claude-plugins/technology-explainer-show"><img src="https://agentmods.dev/badge/skills/artem-from-ua/claude-plugins/technology-explainer-show.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00294 |
| Opus 5 | $0.00018 | $0.00147 |
| Sonnet 5 | $0.00007 | $0.00059 |
| Haiku 4.5 | $0.00004 | $0.00029 |
Grade A, and why
technology-explainer-show 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 7d 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.
What it actually says
Technology Explainer Show
Display the current technology proficiency configuration.
Steps
1. Read config
Read ~/.claude/technology-explainer.json.
If the file doesn't exist, display: "No proficiency config found. Run /technology-explainer-setup to create one."
2. Display configuration
Format the output as a table:
| Level | Technologies |
|---|---|
| Expert (brief) | linux, mac, ios, shell scripting |
| Intermediate (nuances) | git, docker, k8s |
| Learning (detailed) | terraform, aws, python |
Default for unlisted: learning
Sources:
- terraform → HashiCorp docs
- python → PEP 8, Google style guide
3. Suggest next steps
Mention available commands:
/technology-explainer-update <tech> <level>— change a single technology's level/technology-explainer-update default <level>— change the default level/technology-explainer-update source <tech> <url>— add a custom source/technology-explainer-setup— reconfigure from scratch
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.
- 7d ago First seen · 44 lines · 37 tokens per session scan A 6b3791d1affc
technology-explainer-show is a skill published in the GitHub repository artem-from-ua/claude-plugins (11 stars, last pushed 21d ago), licensed MIT. It adds 37 tokens to every session and 294 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.
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