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 joaquimscosta/arkhe-claude-plugins --skill spring-refreshgit clone --depth 1 https://github.com/joaquimscosta/arkhe-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/joaquimscosta/arkhe-claude-plugins/spring-refresh)<a href="https://agentmods.dev/skills/joaquimscosta/arkhe-claude-plugins/spring-refresh"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/spring-refresh/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/joaquimscosta/arkhe-claude-plugins/spring-refresh"><img src="https://agentmods.dev/badge/skills/joaquimscosta/arkhe-claude-plugins/spring-refresh.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 | $0.00056 | $0.00877 |
| Opus 5.5 | $0.00022 | $0.00351 |
| Sonnet 5.5 | $0.00011 | $0.00175 |
| Haiku 4.5 | $0.00006 | $0.00088 |
Grade A, and why
spring-refresh 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 yesterday.
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 — 91 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Spring Boot Skill Freshness
Check whether Spring Boot skills are current with the latest research docs.
Arguments
Parse $ARGUMENTS for mode:
check(default, no args) — Scan and report freshnessrefresh— Update research docs via deep-research, then reportupdate <skill-name>— Help update a specific skill's content
Mode: check
- Run the freshness scanner:
python3 ${CLAUDE_SKILL_DIR}/scripts/scan_skill_freshness.py --format json ${CLAUDE_SKILL_DIR}/../..
-
Parse the JSON output and present a formatted report with:
- Research doc staleness table (file, version, last updated, age, status)
- Skill drift table (name, target version, last modified, research date, drift, status)
- Summary counts (up-to-date, needs review, needs update)
-
For skills with
NEEDS_REVIEWorNEEDS_UPDATE:- List which research docs they depend on
- Suggest running
/spring-refresh update <skill-name>for each
Mode: refresh
-
For each Spring Boot research doc, invoke the Skill tool with
core:deep-researchto refresh:refresh spring-boot-ecosystem(for ecosystem-research.md)refresh spring-boot-ddd-implementation(for ddd-implementation.md)refresh spring-boot-security-observability-testing(for security-observability-testing.md)
-
After all research docs are refreshed, run the
checkmode to produce the updated report. -
Show a before/after comparison of research doc dates.
Fallback: If the deep-research skill is not available, skip the research refresh and run check mode only. Inform the user they can manually update research docs.
Mode: update <skill-name>
-
Run
checkmode first to identify drift status for the specified skill. -
Read the research docs that map to this skill:
spring-boot-ecosystem-research.md→ scanner, verify, web-api, data-ddd, modulith, domain-driven-designspring-boot-ddd-implementation.md→ domain-driven-design, data-ddd, web-api, modulithspring-boot-security-observability-testing.md→ security, observability, testing
What ships with it
3 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.
- yesterday First seen · 91 lines · 56 tokens per session scan A 2899bb54b02d
spring-refresh is a skill published in the GitHub repository joaquimscosta/arkhe-claude-plugins (21 stars, last pushed yesterday), licensed MIT. It adds 56 tokens to every session and 877 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 2026-10-16.
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