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 agentmods add mcp/aneym/unblock/unblockdgit clone --depth 1 https://github.com/aneym/unblockGrade A, and why
unblockd 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 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 · 9 lines scan A 59e92d1c8a77
unblockd is an MCP server published in the GitHub repository aneym/unblock (0 stars, last pushed 5d ago), with no licence file. Its token cost is not measured: an MCP server costs its tool schemas, not its config file. 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.
Other mcp servers, from other repositories
humanforai
Hire a real human for real-world verification, product testing, AI output review, and errands. Runs locally from the humanforai npm package.
mcp-confidence
A drop-in confidence gate for LLM agents: turn token logprobs into an accept / verify / ask-a-human routing decision, with honest per-model calibration. Runs locally from the mcp-confidence Python package.
permitd
Governed tool execution for agent loops: propose -> permit -> approve -> execute -> audit. Fail-closed, zero dependencies. Runs locally from the permitd Python package.
review-gate-mcp
MCP server "review-gate-mcp" as configured in ravnlab/review-gate-mcp. Runs locally from the review-gate-mcp npm package.
mcp
The open-source review layer for AI agents. Work done for humans is decided by humans. Runs locally from the @gatewerk/mcp npm package. Needs 3 environment variables to run.
agentkeeper-aria
MCP server "agentkeeper-aria" as configured in Thinklanceai/agentkeeper. Launched with agentkeeper-mcp --agent-id aria --provider anthropic. Needs 2 environment variables to run.