software-engineering-discipline@2.0.1
VERIFIED· install onlyPublisher claims: "Engineering discipline for AI coding agents working on maintained code. Apply when implementing features, fixing bugs, refactoring, reviewing code, or designing and evaluating tests or coverage. Calibrates scope, abstraction, contracts, risk-based test strategy, and hard safety limits; requires verified APIs and executed checks instead of guesses." 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
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 2026-11-10 and scored it 90/100 (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
6. **Secrets/PII never touch code or logs.** Read from the existing secret/config mechanism; never hardcode (incl. tests/fixtures), never commit `.env`, redact in errors.Fix: Stop enumerating or reading credential locations; take secrets from a declared environment variable the user sets on purpose.No other findings across 161 lines in 2 files.
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.