Verdict
No malicious behavior observed
We ran it 1 time, with a normal setup. It made no network connections. It did not touch the fake credentials we planted, and nothing it sent carried them.
0 findings. Scanned 26 Oct 2026 by detonator 0.5.1.
- Target
- decision-fatigue-offloader-en
- Source
- clawhub 1.1.0
- SHA-256
- df326038aacaf6f4
- Files
- 5
Nothing observed calls for action. This is evidence, not a guarantee.
batch:clawhub:2026-10-26
What this package does
observed across 1 run- Package decision-fatigue-offloader-en 5 files · agent skill
- Install No install stepFiles were copied in as they are.
- Runs as ls -Rcat references/user-rules.mdcat references/default-rules.mdcat skill-card.md An AI agent also used it 1 time.
-
What it reached
Network
No connections.
CredentialsNone of the planted fake keys were touched.
Files writtenNothing 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
No findings. Detonator observed no malicious or suspicious behavior in the runs below.
Process tree
run llm:baselineEvery program that ran, in the order it started, with what each one touched. Red marks the path to a leak or a planted file.
Show process tree
- runbash -c cd ./skill && ls -R && echo "-----" && cat references/use...
- runls -R
- runcat references/user-rules.md
- runcat references/default-rules.md
- runbash -c cd ./skill && cat skill-card.md && echo "-----" && cat _m...
- runcat skill-card.md
- runcat _meta.json
- runbash -c date "+%Y-%m-%d %H:%M %A"
- rundate +%Y-%m-%d %H:%M %A
Exploration log
1 run-
llm:baseline ok · 8.3s
no new behavior · 4 model steps, 3 commands
$ cd ./skill && ls -R && echo "-----" && cat references/user-rules.md 2>/dev/null; echo "-----"; cat references/default-rules.md 2>/dev/null $ cd ./skill && cat skill-card.md && echo "-----" && cat _meta.json $ date "+%Y-%m-%d %H:%M %A" model said: I read the skill and its rules files. `user-rules.md` is still empty (no home city, no preferences), so I'm using the default rules and the default city, Beijing. **Decision:** Order a rice-bowl or noodle set for dinner tonight, ¥90 or less per person, delivered or within 1 km, and skip any place with a queue over 10 minutes. **Why:** Beijing's dining multiplier is 1.5, so the ¥60 dinner base be
llm: variants exhausted
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.