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Showing 9 resources for "prompt-injection"
Saved
Active

3 trusted · 6 review in this set — compare to see which signals differ.

Trust snapshot

9 results in this view

Claimed
0%(0/9)

3 trust signals differ in this sample: Package trust, Source provenance, Submitter

Signals differ on Package trust, Source provenance, Submitter — add entries to compare before you install.

Rollout signal scan

2 rollout risk signals in current results

Biggest gaps: metadata review, package integrity. 0 entries have 2+ required gaps.

9 scanned

Install payload

Install payload is broadly covered in current results.

good

100% (9/9)

Adoption queue

Browse adoption queue · balanced

0/9 visible results are ready for staged adoption under this preset.

ready 0caution 9hold 0

MCP Server Security Hardening Skill

1 blockers: Metadata review

caution

70/100

Request metadata review from maintainers or internal owners.

skills/mcp-server-security-hardening · trust trusted · confidence 83%

caution

70/100

Request metadata review from maintainers or internal owners.

skills/prompt-injection-defense-guardrails · trust trusted · confidence 83%

GitLab CI Claude Automation Agent

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

agents/gitlab-ci-claude-automation-agent · trust review · confidence 67%

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

guides/prompt-injection-defense-for-tool-connected-agents · trust review · confidence 67%

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

hooks/prompt-injection-content-scanner-hook · trust review · confidence 67%

Scrapling MCP Server

1 blockers: Metadata review

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

mcp/scrapling-mcp-server · trust review · confidence 67%

caution

50/100

Request metadata review from maintainers or internal owners.

Collect package checksum or signed artifact information.

guides/secure-deployment-for-claude-agent-sdk-applications · trust review · confidence 67%

Decision confidence

Decision confidence scan · balanced

3/9 results are high-confidence for the selected preset.

high 3medium 6low 0

GitLab CI Claude Automation Agent

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

agents/gitlab-ci-claude-automation-agent · trust review

Prompt Injection Defense For Tool Connected Agents

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

guides/prompt-injection-defense-for-tool-connected-agents · trust review

Scrapling MCP Server

Address Metadata review, Package integrity before broader rollout.

medium

54/100

Missing: Metadata reviewMissing: Package integrity

mcp/scrapling-mcp-server · trust review

Freshness distribution

Mostly fresh with a few aging entries

Median age 53 days; 6 fresh, 3 aging or stale of 9 scanned.

median 53d

Aging

91–180 days

33%

3 entries

Stale

> 180 days

0%

0 entries

Theme distribution

Results center on security

89% of this view shares the top theme. Leading themes: security, mcp, prompt-injection.

Focused

32 distinct themes across 9 scanned

PreToolUse hook that scans proposed writes to prompt, agent, rule, markdown, and context files for common prompt-injection phrases before the content is saved into an AI-readable surface.

Trigger:PreToolUse
Safety ✓ Privacy ✓

Build layered defenses against prompt injection, data exfiltration, and unsafe tool execution in AI agent systems.

Level:advancedType:generalVerified:draft
Safety ✓ Privacy ✓

Defend tool-connected agents against prompt injection using documented Claude Code security practices: MCP trust verification, approval gates, least-privilege tools, untrusted content handling, and human review before side-effect tool calls.

Security scanner from Snyk for discovering local AI agent components, including MCP servers and Agent Skills, and checking them for prompt injection, tool poisoning, tool shadowing, toxic flows, malware payloads, credential handling, and hardcoded secrets.

Secure MCP servers with strict tool boundaries, auth controls, dependency hygiene, and abuse-resistant runtime policies.

Level:advancedType:generalVerified:draft
Safety ✓ Privacy ✓

Expert MCP capability skill for secure server authoring, tool schema discipline, authorization boundaries, and prompt-injection risk review.

Level:expertType:capability-packVerified:validated
Safety ✓ Privacy ✓
Scrapling logo

MCP server for Scrapling web scraping workflows, including HTTP scraping, browser-backed dynamic fetching, stealth fetching, screenshots, persistent browser sessions, selectors, proxies, and prompt-injection sanitization.

GitLab logo

Source-backed agent that operates Claude Code inside GitLab CI pipelines — triaging pipeline failures, generating MR descriptions, running automated code review on diffs, and reporting findings back to merge requests via the GitLab API through a narrow write proxy and explicit prompt-injection boundaries.

A practical walkthrough of securely deploying Claude Agent SDK applications: the prompt-injection threat model, isolation options (sandbox runtime, containers, gVisor, VMs), least privilege, the proxy credential pattern, and filesystem controls.