SkillTotal

Is Claudeforge safe?

No malicious indicators - review capabilities before installing
Notable — review in context (capabilities are not malware):
  • Python filesystem read
  • Python filesystem write/delete

repo is an AI ai_component analyzed by SkillTotal's deterministic static scanner. The scan found no malicious indicators, though 2 risky constructs are reported for review. It can: filesystem read and filesystem write — capabilities are what the code can do, not a verdict on intent. Risk score 0/100 (low).

repo

ai_component · https://github.com/alirezarezvani/ClaudeForge
LOW
0
/ 100 risk score
Snapshot · scanned Aug 5, 2026 · repo@032c5e5 · engine 0.38.1 / ruleset 42

Automated static-analysis result. It can contain false positives and false negatives, and is not a claim about the intent of Claudeforge's authors. Report a false positive.

Capabilities — what this component can do (not a risk score):
filesystem readfilesystem write

Behavioral traits

How this component maps to the CSA agentic threat model. Descriptive — it never affects the risk score.

Filesystem reach
Tool Execution Context

Findings (2)

MEDIUMPython filesystem readST-FS-PY-READ

The component reads files from disk.

with open(path, encoding="utf-8") as fh:
with open(path, encoding="utf-8") as fh:
lines = root.read_text(encoding="utf-8").splitlines()
with open(path, encoding="utf-8") as fh:
with open(path, encoding="utf-8") as fh:

Why it matters: Usually legitimate, but worth confirming it can't be steered into reading sensitive files.

Fix: Confirm which files are read and that paths cannot be influenced by untrusted input to reach sensitive locations.

MEDIUMPython filesystem write/deleteST-FS-PY-WRITE

The component writes or deletes files on disk.

shutil.move(str(dest), str(backup))
shutil.copyfile(src, dest)
dest.write_text("\n".join(out).rstrip() + "\n", encoding="utf-8")

Why it matters: Usually legitimate, but worth confirming the paths can't be controlled by untrusted input.

Fix: Confirm which files are written/deleted and that paths cannot be influenced by untrusted input.

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How we determine this: deterministic static analysis (regex + AST), evidence-anchored, no code execution. Methodology →