Skills/ClawHub/dev-prompts

dev-prompts@2.0.1

VERIFIED· install only

Publisher claims: "150 curated developer-productivity prompts you can paste into any agent (planning, debugging, code review, docs)." Observed in sandbox: no network, touches nothing outside the project, writes no memory.

Registry ClawHubPublisher itspremkumar · publishing for 124 daysInstalls 821Last detonated 3d ago
$clawhub install dev-prompts
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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 2026-11-11 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 deviations
t+CategoryObserved action
0.0sprocessno install scripts in bundle
0.0sprocessscript backend runs setup only
0.0sprocessscript backend runs setup only
0.0sprocessno install scripts to re-run

Static findings

HIGH
Direct script execution from GitHub raw URLSKILL.md:34 · Direct script execution from GitHub raw URL — unverified code sourcecurl -O https://raw.githubusercontent.com/itsPremkumar/dev-prompts/main/dev_prompts.pyFix: Pin versions and sources; vendor anything fetched at install time.
AST06
LOW
Prompt injection attemptPROMPTS.md:1040 · Prompt injection attempt — model control tokens · informational: not an instruction fileWrite a 1-page architecture overview for [SYSTEM]: components, data flow, key decisions, and diagrams (ASCII). Audience: new engineer joining the team.Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.
AST01
LOW
Prompt injection attemptPROMPTS.md:584 · Prompt injection attempt — model control tokens · informational: not an instruction fileDesign observability for [SYSTEM]: metrics (RED/USE), structured logs, distributed tracing, and SLOs. Specify what to instrument first and a sample dashboard layout.Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.
AST01
LOW
Prompt injection attemptPROMPTS.md:590 · Prompt injection attempt — model control tokens · informational: not an instruction fileRedesign [SYSTEM] to cut cloud cost by 40% without hurting p99 latency. Identify waste (over-provisioning, chatty calls, expensive storage tier) and cheaper alternatives.Fix: Keep SKILL.md to visible, descriptive text. Remove comments and encoded text that address the agent.
AST01

Cost to the agent

Instructions loaded
≈794 tok
1 file · 5 in bundle

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.

dev-prompts@2.0.1 safety verdict: Verified (install only) — KillerSkills