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    Enables users to audit Dockerfiles for container-security anti-patterns, including missing USER, baked-in secrets, curl | sh / wget | bash, unpinned base images, and ADD with remote URLs. It parses Dockerfile structure to return risk levels and actionable fixes.
    MIT
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    Enables scanning arbitrary text and added lines in unified git diffs for accidentally committed credentials, using precise vendor-format matches and entropy-based detection. All detected secrets are redacted before results are returned, helping coding agents and developers catch leaks without exposing full values.
    MIT
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    Enables users to generate Pine Script v6 strategy code from plain-language descriptions, with built-in consideration for prop-firm evaluation constraints such as position sizing, session filters, and drawdown-aware exits.
    26 npm
    MIT
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    Scores MCP tool definitions and tool lists from 0-100, flagging vague descriptions, missing parameter docs, non-verb-first naming, oversized enums, and nested schemas with severity, rationale, and concrete fixes. It also validates marketplace listings against platform character caps such as MCPize's 500-character short-description limit before deploy.
    MIT
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    Enables auditing package.json files for real npm supply-chain attack mechanisms — typosquatted dependency names, malicious preinstall/install/postinstall scripts that pipe downloads into a shell or decode base64 payloads, and unpinned versions — plus live npm registry lookups that flag nonexistent, brand-new, deprecated, or typosquatted packages. It exposes dedicated tools for full manifest audits and single-name typosquat checks.
    MIT
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    Enables traders to instantly evaluate whether a trade fits a specific prop firm's drawdown, position-size, consistency, and daily-loss rules, returning pass/fail status and safe actions. It provides structured firm rule sets and remaining limits through MCP tool calls.
    MIT
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    Enables scanning GitHub Actions workflow YAML for real-world security vulnerabilities such as script injection from attacker-controlled expressions, unpinned third-party actions, missing permissions blocks, and dangerous pull_request_target checkouts. It returns each finding with its exact location, an explanation of the risk, and a concrete remediation.
    MIT
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    Validates cron expressions and computes DST-correct next-fire times against real IANA timezone data, flagging schedules that silently skip a spring-forward run or double-fire on fall-back. Also surfaces the POSIX day-of-month/day-of-week OR semantics and other semantic footguns before a job ships.
    MIT
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    Enables exact Claude API cost estimation from token counts with correct prompt-cache economics, plus cache break-even analysis showing whether and at which TTL reusing a prefix pays off. It also scans source code for tiktoken-based token counting used alongside Claude models and points to the correct fix.
    MIT