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Install in OpenClaw
/install resume-risk-screen
Description
A skill for screening resumes for authenticity risk, packaging risk, and role fit.
Usage Guidance
This skill appears coherent and low-risk from an installation/execution standpoint because it is instruction-only and asks for no credentials. Before installing: (1) Review privacy and compliance requirements — the skill extracts PII (names, phones, emails) and any use of real resumes must follow data-protection rules. (2) Test robustness with synthetic and adversarial inputs — the SKILL.md claims to detect prompt-injection, but do not assume perfect protection. (3) Verify the exact JSON output and its enclosing code block against your ATS parser to avoid integration failures. (4) Limit the agent's access to external sources and avoid feeding it secret or unrelated system data. If you need higher assurance, request the skill author publish provenance (homepage or source repo) or add a lightweight code-based implementation that you can audit.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the SKILL.md defines resume authenticity, packaging, and role-fit checks and prescribes structured JSON output for ATS ingestion. The skill does not request unrelated binaries, credentials, or config paths.
Instruction Scope
The SKILL.md tightly prescribes parsing rules, anti-prompt-injection checks, strict error codes (e.g., INVALID_INPUT), and an exact two-layer deliverable (human summary + machine JSON). This is appropriate for the stated purpose, but the strict output formatting (JSON in a code block with exact required fields) is brittle and should be tested against your ATS parser. The document also instructs extracting contact info and other PII — expected for a resume screener but worthy of privacy review. The pre-scan injection pattern detected appears inside the skill text as part of an anti-injection blacklist (see scan_findings_in_context).
Install Mechanism
No install spec and no code files — instruction-only skill. Low install risk (nothing will be written or executed on disk by an installer).
Credentials
The skill requires no environment variables or external credentials. It does request extraction of sensitive personal data (names, phone numbers, emails) which is proportional to resume screening but imposes privacy/compliance obligations (PII handling, retention, access controls).
Persistence & Privilege
always:false and no special persistence requested. The skill does not request to modify other skills or system-wide config. Autonomous invocation is allowed (platform default) but not a risk by itself here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install resume-risk-screen - After installation, invoke the skill by name or use
/resume-risk-screen - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.1.2
Added candidate name/contact extraction and explicit empty array states for flawless resumes
v0.1.1
Refactor with P8 standards: Anti-injection bounds, strict JSON schema, metric thresholds
v0.1.0
Initial release
Metadata
Frequently Asked Questions
What is Resume Risk Screen?
A skill for screening resumes for authenticity risk, packaging risk, and role fit. It is an AI Agent Skill for Claude Code / OpenClaw, with 93 downloads so far.
How do I install Resume Risk Screen?
Run "/install resume-risk-screen" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Resume Risk Screen free?
Yes, Resume Risk Screen is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Resume Risk Screen support?
Resume Risk Screen is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Resume Risk Screen?
It is built and maintained by zyg (@donotwannatry); the current version is v0.1.2.
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