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 bug-ops/claude-plugins --skill continuous-improvementgit clone --depth 1 https://github.com/bug-ops/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/bug-ops/claude-plugins/continuous-improvement)<a href="https://agentmods.dev/skills/bug-ops/claude-plugins/continuous-improvement"><img src="https://agentmods.dev/badge/skills/bug-ops/claude-plugins/continuous-improvement/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/bug-ops/claude-plugins/continuous-improvement"><img src="https://agentmods.dev/badge/skills/bug-ops/claude-plugins/continuous-improvement.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 | $0.00099 | $0.04286 |
| Opus 5.5 | $0.00040 | $0.01714 |
| Sonnet 5.5 | $0.00020 | $0.00857 |
| Haiku 4.5 | $0.00010 | $0.00429 |
Grade A, and why
continuous-improvement 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
2 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 Changed · +1 lines 4d0ddc47bcce
- 17d ago Changed · +6 lines · -7 tokens per session 49f9b608d795
- 21d ago Changed · +34 lines 7d6d30256bbe
- 1mo ago Changed 00ef0876ba55
- 1mo ago Changed · +25 lines · +43 tokens per session a2a16466439a
- 1mo ago First seen · 276 lines · 63 tokens per session scan A 3f7e102e42ec
continuous-improvement is a skill published in the GitHub repository bug-ops/claude-plugins (11 stars, last pushed yesterday), with no licence file. It adds 99 tokens to every session and 4,286 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
execution-grounded-review
Execution-grounded review: run tests first, trace each acceptance criterion to execution evidence. Use when verifying an implementation meets spec.
adversarial-review
Adversarial second-pass review that tries to break code, designs, plans, or ADRs. Use when stakes are high and a normal review already ran.
phpunit-test-team-reviewing
Use this skill when the user asks for a team-based, consensus, multi-reviewer, or red-team review of Shopware PHPUnit tests — trigger phrases like "team review these tests", "consensus review the tests in PR.
phpunit-test-reconciling
Internal sub-skill. Do not auto-activate. Use only when explicitly invoked by name by another skill or agent.
pr-feedback
Works through review comments and failing CI on an open pull request, triaging each comment, fixing with tests, replying on every thread, and looping until CI is green. Use when asked to address review comments, fix CI, or handle PR feedback.
verify-acceptance
Runs the acceptance-verifier agent to map a diff against acceptance criteria and returns a PASS/FAIL/PARTIAL/UNTESTED matrix as JSON. Use for CI or headless runs, for example claude -p "/agents-virtuoso:verify-acceptance 123 origin/main".