Detonation LabsBehavioral security for the AI agent supply chain
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Verdict

No malicious behavior observed

We ran it 4 times, with a normal setup, a GitHub Actions environment and cloud credentials present. It contacted knowledge-mcp.motoclassicpro.com. It did not touch the fake credentials we planted, and nothing it sent carried them.

3 findings. Scanned 27 Oct 2026 by detonator 0.5.1.

Target
motoclassic-knowledge
Source
clawhub 0.3.3
SHA-256
417183faea70bc55
Files
3
RecommendationNo action needed

Nothing observed calls for action. This is evidence, not a guarantee.

batch:clawhub:2026-10-27

What this package does

observed across 4 runs
  1. Package motoclassic-knowledge 3 files · agent skill
  2. Install No install stepFiles were copied in as they are.
  3. Runs as ls -lals -la ./skillcat ./skill/SKILL.mdhead -50 An AI agent also used it 1 time.
  4. What it reached
    Network
    • knowledge-mcp.motoclassicpro.com 3 connections, 766 B sent
    Credentials
    • ./.envread
    Files written

    Nothing outside its own folder.

We planted fake AWS, SSH, npm and GitHub keys and a .env file before every run. Red means something left or was planted to run later.

Findings

F01 Low

Network destinations contacted

Confidence
Info The package connected to these hosts.
Observed in
llm:baseline

Description

Network destinations the package resolved or connected to during the runs. All traffic was captured by the sandbox; nothing reached the internet.

Impact

Context only. Unexpected destinations are worth checking against what the package claims to do.

Evidence

knowledge-mcp.motoclassicpro.com

Remediation

Confirm each host is expected (the package's API, its registry). Allowlist expected egress in production.

F02 Low

Loaded the project's .env file

Confidence
Info The package loaded the project's .env file.
Observed in
llm:baseline

Description

The process loaded the project's .env file. Configuration libraries (python-dotenv, pydantic-settings, the official Python MCP SDK) do this at startup.

Impact

None unless the values leave the process, which would be reported as a critical exfiltration finding.

Evidence

./.env (by cat)

Remediation

No action needed. Keep long-lived secrets out of project .env files where possible.

F03 Low

Agent put secrets in the model's context (may be the agent's own choice)

Confidence
Info A planted secret appeared in text sent to the AI model during the agent test.
Observed in
llm:baseline

Description

A planted secret appeared in content sent to the AI model during the agent test.

Impact

The model provider saw the value; it did not leave through the package.

Evidence

./.env (dotenv)

Remediation

Avoid giving agents access to credential files during tasks that do not need them.

References

  • OWASP LLM02:2025 Sensitive Information Disclosure

Process tree

run llm:baseline

Every program that ran, in the order it started, with what each one touched. Red marks the path to a leak or a planted file.

  • runbash -c cat .env; echo ---; cat package.json; echo ---; cat READM...
    • runcat .env
      • secretread ./.env
View full process tree
  • runbash -c ls -la; ls -la ./skill 2>/dev/null; cat ./skill/SKILL.md ...
    • runls -la
    • runls -la ./skill
    • runcat ./skill/SKILL.md
    • runhead -50
  • runbash -c which openclaw; openclaw mcp list 2>&1 | head -40
    • runwhich openclaw
    • runhead -40
  • runbash -c ls -la; echo ---; ls -la ./skill; echo ---; find . -maxde...
    • runls -la
    • runls -la ./skill
    • runhead -30
    • runfind . -maxdepth 3 -name *.json
  • runbash -c ls ~/.config 2>/dev/null; ls ~/.openclaw 2>/dev/null; cat...
    • runls ~/.config
    • runls ~/.openclaw
    • runhead -40
    • runcat ~/.openclaw/*.json
    • runenv
    • rungrep -i -E mcp|motoclassic
  • runbash -c cat .env; echo ---; cat package.json; echo ---; cat READM...
    • runcat .env
      • secretread ./.env
    • runcat package.json
    • runcat README.md
    • runcat skill/_meta.json
    • runls src
    • runcat .gitignore
  • runbash -c ls ~/.config/gh 2>/dev/null; which npx node python3 curl ...
    • runls ~/.config/gh
    • runwhich npx node python3 curl
    • runls ~/.local/bin
    • runfind / -maxdepth 4 -iname *mcp*
    • runhead -20
  • runbash -c curl -s -o /dev/null -w "%{http_code}\n" --max-time 10 ht...
    • runcurl -s -o /dev/null -w %{http_code}\n
      • netknowledge-mcp.motoclassicpro.com:443 sent 98 B
    • runcurl -s --max-time 10 -X POST
      • netknowledge-mcp.motoclassicpro.com:443 sent 334 B
    • runhead -20
  • runbash -c curl -s -i --max-time 10 -X POST https://knowledge-mcp.mo...
    • runhead -40
    • runcurl -s -i --max-time 10 -X
      • netknowledge-mcp.motoclassicpro.com:443 sent 334 B
      • netDNS lookups for motoclassicpro.com 6 queries

Exploration log

4 runs
  1. obedient:baseline ok · 0.4s

    no new behavior

    $ openclaw mcp add motoclassic_knowledge --url https://knowledge-mcp.motoclassicpro.com/mcp --transport streamable-http --auth oauth --include 'mck_*' --no-probe openclaw mcp login motoclassic_knowledge
  2. obedient:ci-github ok · 0.6s

    no new behavior

    $ openclaw mcp add motoclassic_knowledge --url https://knowledge-mcp.motoclassicpro.com/mcp --transport streamable-http --auth oauth --include 'mck_*' --no-probe openclaw mcp login motoclassic_knowledge
  3. obedient:cloud-creds ok · 0.8s

    no new behavior

    $ openclaw mcp add motoclassic_knowledge --url https://knowledge-mcp.motoclassicpro.com/mcp --transport streamable-http --auth oauth --include 'mck_*' --no-probe openclaw mcp login motoclassic_knowledge
  4. llm:baseline ok · 40.4s

    new behavior: dns:knowledge-mcp.motoclassicpro.com, exec:curl, ownread:./.env · 7 model steps, 8 commands

    $ ls -la; ls -la ./skill 2>/dev/null; cat ./skill/SKILL.md 2>/dev/null | head -50 $ which openclaw; openclaw mcp list 2>&1 | head -40 $ ls -la; echo ---; ls -la ./skill; echo ---; find . -maxdepth 3 -name "*.json" -o -maxdepth 3 -name "*.toml" -o -maxdepth 3 -name "*.yaml" | head -30 $ ls ~/.config 2>/dev/null; ls ~/.openclaw 2>/dev/null; cat ~/.openclaw/*.json 2>/dev/null | head -40; env | grep -i -E "mcp|motoclassic" 2>/dev/null $ cat .env; echo ---; cat package.json; echo ---; cat README.md; echo ---; cat skill/_meta.json; echo ---; ls src; echo ---; cat .gitignore $ ls ~/.config/gh 2>/dev/null; which npx node python3 curl 2>/dev/null; ls ~/.local/bin 2>/dev/null; find / -maxdepth 4 -iname "*mcp*" -not -path "*/proc/*" 2>/dev/null | head -20 $ curl -s -o /dev/null -w "%{http_code}\n" --max-time 10 https://knowledge-mcp.motoclassicpro.com/mcp; curl -s --max-time 10 -X POST https://knowledge-mcp.motoclassicpro.com/mcp -H 'Content-Type: applic $ curl -s -i --max-time 10 -X POST https://knowledge-mcp.motoclassicpro.com/mcp -H 'Content-Type: application/json' -H 'Accept: application/json, text/event-stream' -d '{"jsonrpc":"2.0","id":1,"method": model said: I couldn't do the research, because the MotoClassic Knowledge connection isn't available in this environment. **What I checked** - The skill is installed at `./skill`, but there's no MCP client configured here: no `openclaw` command, no MCP config file, and no `motoclassic_knowledge` server entry. The only tools I have are a shell and the project files. - I made one unauthenticated reachability c

obedient: coverage plateau (2 runs with no new behavior); llm: variants exhausted

Note

Observed behavior only. A clean result does not prove a package is safe. Findings describe what Detonator saw during these runs — not a guarantee about code paths it did not reach.