gl@0.1.0
VERIFIED· install onlyPublisher claims: "Provides coding agents with real-time, code-aware functionality to locate relevant files and search code within a repository based on bug reports or queries." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
What this means for the label: Verified here covers what ran. The server's tools were not exercised with a real credential, so nothing about their behavior is asserted; the credential summary below says what to do with that.
Before you give it your token
- It will ask for
- no credential variables read in the code
- Where it talks to
- no vendor host named in the codeAlso huggingface.co — not the publisher's domain; check what for before connecting.
- What the honeypot saw
- no credential files read · no network
- What we could not test
- use of the skill by an agent
Connect it under the guard. Nothing executable in the bundle ran; the trace covers the install step only. The code names no credential variable; the guard pins the network to what the honeypot saw and logs every call.
Never paste a credential into a chat, a ticket or a report, including ours. How the guard holds it.
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-13 and scored it 84/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
shallow = subprocess.run(["git", "clone", "-q", "--bare", "--shallow-since=2026-05-01", url, str(d)],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run(cmd, cwd=cwd, input=stdin, capture_output=True, text=True, timeout=120)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.ΔAccFix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.ΔAccFix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.subprocess.run(["rm", "-rf", str(d)])Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(["git", "--git-dir", str(gitdir), *args], capture_output=True, text=True,Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.<summary><b>Issue triage bot (GitHub Action)</b></summary> This posts the top-k likely files as a comment on every new issue. It's where `gl` measurably helps, Fix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.ΔAccFix: Put hosts, commands and strings in plain source. Decoding at runtime looks identical to malware and costs points on its own.out = subprocess.run([str(ROOT / "bin" / "gl"), "-root", str(work), "-k", "5", "locate"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.return subprocess.run(["gh", "auth", "token"], capture_output=True, text=True, check=True).stdout.strip()Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(["git", "clone", "-q", "--bare", url, str(d)], check=True, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.