credential-scanner
Skill0 starsChanged 4 months agoMITView on GitHub
Scan your project for exposed credentials, API keys, and secrets before running OpenClaw skills. Prevents accidental exfiltration.
- Reads credentials
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- Kur1sulab/whiteboxedited, first seen Aug 12, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- Kur1sulab/whitebox★ 076% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository52 other files it gives its agents.
- skills/composition-patterns/AGENTS.mdAGENTS.md
- sample-project/CLAUDE.mdCLAUDE.md
- agent-orchestratorSkill
- api-designSkill
- banner-designSkill
- brainstormingSkill
- brandSkill
- capital-accountsSkill
- composition-patternsSkill
- continuous-learning-v2Skill
- contract-reviewSkill
- deployment-patternsSkill
- design-systemSkill
- dispatching-parallel-agentsSkill
- docker-patternsSkill
- e2e-testingSkill
- executing-plansSkill
- finishing-a-development-branchSkill
- fixed-assetsSkill
- frontend-designSkill
- git-guardrails-claude-codeSkill
- graphifySkill
- huashu-designSkill
- investmentsSkill
- iterative-retrievalSkill
- legal-agreementSkill
- plain-english-translationSkill
- terms-of-service-generatorSkill
- pdfSkill
- prd-to-issuesSkill
- prd-to-planSkill
- receiving-code-reviewSkill
- requesting-code-reviewSkill
- security-reviewSkill
- shapeSkill
- slidesSkill
- subagent-driven-developmentSkill
- systematic-debuggingSkill
- test-driven-developmentSkill
- triage-issueSkill
- ui-stylingSkill
- ui-ux-pro-maxSkill
- using-git-worktreesSkill
- using-superpowersSkill
- verification-before-completionSkill
- video-prompt-builderSkill
- webapp-testingSkill
- web-design-guidelinesSkill
- write-a-prdSkill
- writing-plansSkill
- writing-skillsSkill
- xlsxSkill
The file
We split this skill into the rules it gives an agent
5 rules. About 0 are common, 0 are distinctive, and 5 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
5
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 70
Test fixtures clearly marked as examples (example, test, mock, fixture in path)
- Very specific: line 104
Never display full secret values — always truncate with ████████
- Very specific: line 105
Check .gitignore and warn if sensitive files are NOT ignored
- Very specific: line 107
If running before a skill with network access — escalate all findings to CRITICAL
- Very specific: line 109
Check if the project has a .env.example that accidentally contains real values
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Credential Scanner
You are a credential scanner for OpenClaw projects. Before the user runs any skill that has fileRead access, scan the workspace for exposed secrets that could be read and potentially exfiltrated.
What to Scan
High-Priority Files
Default scope: current workspace only. Scan project-level files first:
.env,.env.local,.env.production,.env.*docker-compose.yml(environment sections)config.json,settings.json,secrets.json*.pem,*.key,*.p12,*.pfx
Home directory files (scan only with explicit user consent):
~/.aws/credentials,~/.aws/config~/.ssh/id_rsa,~/.ssh/id_ed25519,~/.ssh/config~/.netrc,~/.npmrc,~/.pypirc
Patterns to Detect
Scan all text files for these patterns:
# API Keys
AKIA[0-9A-Z]{16} # AWS Access Key
sk-[a-zA-Z0-9]{48} # OpenAI API Key
sk-ant-[a-zA-Z0-9-]{80,} # Anthropic API Key
ghp_[a-zA-Z0-9]{36} # GitHub Personal Token
gho_[a-zA-Z0-9]{36} # GitHub OAuth Token
glpat-[a-zA-Z0-9-_]{20} # GitLab Personal Token
xoxb-[0-9]{10,}-[a-zA-Z0-9]{24} # Slack Bot Token
SG\.[a-zA-Z0-9-_]{22}\.[a-zA-Z0-9-_]{43} # SendGrid API Key
# Private Keys
-----BEGIN (RSA |EC |DSA |OPENSSH )?PRIVATE KEY-----
-----BEGIN PGP PRIVATE KEY BLOCK-----
# Database URLs
(postgres|mysql|mongodb)://[^\s'"]+:[^\s'"]+@
# Generic Secrets
(password|secret|token|api_key|apikey)\s*[:=]\s*['"][^\s'"]{8,}['"]Files to Skip
Do not scan:
node_modules/,vendor/,.git/,dist/,build/- Binary files (images, compiled code, archives)
- Lock files (
package-lock.json,yarn.lock,pnpm-lock.yaml) - Test fixtures clearly marked as examples (
example,test,mock,fixturein path)
Output Format
CREDENTIAL SCAN REPORT
======================
Project: <directory>
Files scanned: <count>
Secrets found: <count>
[CRITICAL] .env:3
Type: API Key (OpenAI)
Value: sk-proj-...████████████
Action: Move to secret manager, add .env to .gitignore
[CRITICAL] src/config.ts:15
Type: Database URL with credentials
Value: postgres://admin:████████@db.example.com/prod
Action: Use environment variable instead
[WARNING] docker-compose.yml:22
Type: Hardcoded password in environment
Value: POSTGRES_PASSWORD=████████
Action: Use Docker secrets or .env file
RECOMMENDATIONS:
1. Add .env to .gitignore (if not already)
2. Rotate any exposed keys immediately
3. Consider using a secret manager (e.g., 1Password CLI, Vault, Doppler)Rules
- Never display full secret values — always truncate with
████████ - Check
.gitignoreand warn if sensitive files are NOT ignored - Differentiate between committed secrets (critical) and local-only files (warning)
- If running before a skill with
networkaccess — escalate all findings to CRITICAL - Suggest specific remediation for each finding
- Check if the project has a
.env.examplethat accidentally contains real values
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

