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 gowtham012/Claude-plugins --skill configuregit clone --depth 1 https://github.com/gowtham012/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/gowtham012/claude-plugins/configure)<a href="https://agentmods.dev/skills/gowtham012/claude-plugins/configure"><img src="https://agentmods.dev/badge/skills/gowtham012/claude-plugins/configure/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/gowtham012/claude-plugins/configure"><img src="https://agentmods.dev/badge/skills/gowtham012/claude-plugins/configure.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 | $0.00015 | $0.00280 |
| Opus 5.5 | $0.00006 | $0.00112 |
| Sonnet 5.5 | $0.00003 | $0.00056 |
| Haiku 4.5 | $0.00002 | $0.00028 |
Grade A, and why
configure 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.
What it actually says
Current configuration (auto-injected)
Config file:
!`cat regression-sentinel/config.json 2>/dev/null || echo "(not configured yet — run /regression-sentinel:setup first)"`
Instructions
Ask the user for the following (if not already provided as arguments):
- test_command — the shell command to run tests (e.g.,
pytest,npm test,cargo test) - auto_revert — whether to suggest reverting files that break tests (default: false)
- max_failures — max consecutive failures before warning to stop (default: 3)
Then call mcp__regression-sentinel__configure with:
cwd= current working directorytest_command= the test commandauto_revert= true/falsemax_failures= number
Report the result. Confirm the settings are saved.
If the user only provides a test command, use defaults for the other options.
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 · 35 lines · 15 tokens per session scan A 858d0956bcc3
configure is a skill published in the GitHub repository gowtham012/Claude-plugins (5 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 280 once invoked, about $0.0001 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 2026-08-31.
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