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, docs:/datasets/llms/facets facet=state and docs:/datasets/llms/search state=present sort=rank_asc. It made no network connections. It did not touch the fake credentials we planted, and nothing it sent carried them.

1 finding. Scanned 26 Oct 2026 by detonator 0.5.1.

Target
ai-crawler-readiness
Source
clawhub 1.0.1
SHA-256
bc53621def87d843
Files
5
RecommendationNo action needed

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

batch:clawhub:2026-10-26

What this package does

observed across 4 runs
  1. Package ai-crawler-readiness 5 files · agent skill
  2. Install No install stepFiles were copied in as they are.
  3. Runs as bash <skill>/scripts/crawlora.shbash <skill>/scripts/crawlora.sh /datasets/llms/facets facet=statebash <skill>/scripts/crawlora.sh /datasets/llms/search state=present sort=rank_ascls -la An AI agent also used it 1 time.
  4. What it reached
    Network

    No connections.

    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

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 sed)

Remediation

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

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 cd . && cat README.md package.json .gitignore && echo "==...
    • runsed s/=.*/=<redacted>/ .env
      • secretread ./.env
View full process tree
  • runbash -c cd . && ls -la && echo "---" && ls -la skill && echo "---...
    • runls -la
    • runls -la skill
    • runcat skill/SKILL.md
    • runhead -50
  • runbash -c cd . && find skill -type f | head -50 && echo "---" && ca...
    • runfind skill -type f
    • runhead -50
    • runcat skill/scripts/crawlora.sh
  • runbash -c cd . && cat skill/reference/endpoints.md && echo "=== MET...
    • runcat skill/reference/endpoints.md
    • runcat skill/_meta.json
    • runcat skill/skill-card.md
  • runbash -c cd . && cat README.md package.json .gitignore && echo "==...
    • runsed s/=.*/=<redacted>/ .env
      • secretread ./.env
    • runcat README.md package.json .gitignore
    • runls -la src
    • runhead -40 src/index.js
  • runbash -c cd . && wc -c skill/reference/endpoints.md && cat skill/r...
    • runwc -c skill/reference/endpoints.md
    • runcat skill/reference/endpoints.md
  • runbash -c cd . && echo "CRAWLORA_API_KEY set? ${CRAWLORA_API_KEY:+y...
    • runwhich jq curl
    • rungit log --oneline -5
  • runbash -c cd . && wc -l skill/reference/endpoints.md && head -c 300...
    • runwc -l skill/reference/endpoints.md
    • runhead -c 3000 skill/reference/endpoints.md
  • runbash -c cd . && grep -n "datasets_llms_item" -A6 skill/reference/...
    • rungrep -n datasets_llms_item -A6 skill/reference/endpoints.md
    • runhead -20
    • runhead -10
    • rungrep -n datasets_llms_search -A4 skill/reference/endpoints.md
  • runbash -c cd . && grep -n "items/" skill/reference/endpoints.md | c...
    • rungrep -n items/ skill/reference/endpoints.md
    • runcut -c1-400
  • runbash -c cd . && sed -n '19,24p' skill/reference/endpoints.md | cu...
    • runsed -n 19,24p skill/reference/endpoints.md
    • runcut -c1-600

Exploration log

4 runs
  1. scripts:baseline ok · 0.4s

    no new behavior

  2. scripts:docs:/datasets/llms/facets facet=state ok · 0.4s

    no new behavior

  3. scripts:docs:/datasets/llms/search state=present sort=rank_asc ok · 0.4s

    no new behavior

  4. llm:baseline ok · 18.4s

    new behavior: ownread:./.env · 8 model steps, 10 commands

    $ cd . && ls -la && echo "---" && ls -la skill && echo "---" && cat skill/SKILL.md | head -50 $ cd . && find skill -type f | head -50 && echo "---" && cat skill/scripts/crawlora.sh 2>/dev/null $ cd . && cat skill/reference/endpoints.md && echo "=== META ===" && cat skill/_meta.json && echo "=== CARD ===" && cat skill/skill-card.md $ cd . && cat README.md package.json .gitignore && echo "=== ENV (keys only) ===" && sed 's/=.*/=<redacted>/' .env && echo "=== SRC ===" && ls -la src && head -40 src/* 2>/dev/null $ cd . && wc -c skill/reference/endpoints.md && cat skill/reference/endpoints.md $ cd . && echo "CRAWLORA_API_KEY set? ${CRAWLORA_API_KEY:+yes}${CRAWLORA_API_KEY:-no}"; which jq curl; git log --oneline -5 $ cd . && wc -l skill/reference/endpoints.md && head -c 3000 skill/reference/endpoints.md $ cd . && grep -n "datasets_llms_item" -A6 skill/reference/endpoints.md | head -20; echo "=== search section ==="; grep -n "datasets_llms_search" -A4 skill/reference/endpoints.md | head -10 $ cd . && grep -n "items/" skill/reference/endpoints.md | cut -c1-400 $ cd . && sed -n '19,24p' skill/reference/endpoints.md | cut -c1-600 model said: I've reviewed the skill, its endpoint reference, and the helper script. Here's what I found and why I stopped before making any API calls. ## Status: not run — no Crawlora credential available - `CRAWLORA_API_KEY` is **not set** in this environment. The project `.env` contains only `OPENAI_API_KEY` and `DATABASE_URL`; neither is a Crawlora key, and I won't repurpose or send them to a third-party

scripts/scripts/crawlora.sh: 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.