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Skill scan report

gh-issues

View on GitHub
49 Medium Automated analysis flagged 2 potential risk patterns.

What this skill does

Automation of GitHub issue-to-PR workflows, including fetching issues, spawning agents, opening PRs, and handling PR reviews.

github/openclaw - Insecure Configuration - 385.8k stars

ThreatsInsecure Configuration Secrets Exfiltration

Threat analysis

Insecure Configuration1 finding
Secrets Exfiltration1 finding

Skill info

Nameopenclaw/gh-issues
Registrygithub
Versionc39abce
PURLpkg:github/openclaw/openclaw@c39abce?skill=gh-issues
Stars385.8k

Assessments (2)

Insecure Configuration1 finding HIGH
HIGH

Insecure Configuration via local-llm-review

SKILL.md

The skill source references `OPENCLAW_CONFIG_PATH` and `OPENCLAW_STATE_DIR`, which may expose sensitive configuration data if not properly secured.
Secrets Exfiltration1 finding HIGH
HIGH

Secrets Exfiltration via local-llm-review

SKILL.md

The skill source contains a partial line: `GH_TOKEN=$(jq -r '.skills.entries[

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How Anomity governs this at runtime

Scan-time vetting tells you what a skill says it will do. Anomity's Endpoint Sensor sees what agents actually do: it discovers skills alongside every other AI artifact on the endpoint, and runtime governance can allow, deny, or log the tool calls a skill triggers. Policy violations route to your SIEM, Slack, email, or Jira, backed by a queryable 90-day audit trail.

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Methodology and disputes

Every skill is assessed by the Anomity Skill Intelligence engine against its public source; findings indicate risk patterns, not confirmed exploitation. Maintainer of gh-issues? Report an issue or request a rescan.

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