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data-dlp-monitor

Classify data and monitor for leaks and exfiltration. Finds personal, financial and secret data with validated detectors (IBAN mod 97, French NIR key, SIREN/SIRET and payment card Luhn, e-mail, French phone, AWS keys, JWT, private keys, RGPD article 9 vocabulary), proposes Public/Internal/Confidential/Restricted tiers, reviews Microsoft Purview DLP policies and labels, Google Cloud DLP infoTypes, AWS Macie, Nightfall and gitleaks results, and detects exfiltration signals (volume baseline per user, off-hours, new destination, archive then upload, DNS tunneling, personal cloud, LLM prompts) with a response playbook aligned on RGPD, CNIL, NIS2 and DORA.

When to use​

Use when the user asks to "scan this folder for personal data", "classify these files", "check our DLP policies", "find exfiltration in these transfer logs", "is there a secret in this repo", or shares an export that may contain sensitive data. In French "classifier les donnees", "detecter une fuite de donnees", "verifier les politiques DLP".

Inputs and tools​

The skill takes the request of the user in natural language: its frontmatter declares no argument. It declares no allowed-tools: the tools available are those of the agent that loads it, under the tool policy of the project.

Reference​

FieldValue
Namedata-dlp-monitor
CategorySecurity
VersionNot declared
LicenceNot declared
Allowed toolsNot declared
Plugins-
Sourcecatalog/navin/skills/data-dlp-monitor/SKILL.md
Digestsha256:873ecb8fe8c781e41e625af405cac5315f082ba9740bccc80961c738894d35ae
skill_md_digestsha256:888f1676b2fdf3f19dec7d3b17481f381406d52f50522fd034495c9a7e9cfa39
EmojiπŸ”

Bundled files​

PathCount
catalog/navin/skills/data-dlp-monitor/examples5
catalog/navin/skills/data-dlp-monitor/references3
catalog/navin/skills/data-dlp-monitor/scripts2

Frontmatter​

Every field of the SKILL.md frontmatter, with the value of the source:

FieldValue
namedata-dlp-monitor
descriptionClassify data and monitor for leaks and exfiltration. Finds personal, financial and secret data with validated detectors (IBAN mod 97, French NIR key, SIREN/SIRET and payment card Luhn, e-mail, French phone, AWS keys, JWT, private keys, RGPD article 9 vocabulary), proposes Public/Internal/Confidential/Restricted tiers, reviews Microsoft Purview DLP policies and labels, Google Cloud DLP infoTypes, AWS Macie, Nightfall and gitleaks results, and detects exfiltration signals (volume baseline per user, off-hours, new destination, archive then upload, DNS tunneling, personal cloud, LLM prompts) with a response playbook aligned on RGPD, CNIL, NIS2 and DORA. Use when the user asks to "scan this folder for personal data", "classify these files", "check our DLP policies", "find exfiltration in these transfer logs", "is there a secret in this repo", or shares an export that may contain sensitive data. In French "classifier les donnees", "detecter une fuite de donnees", "verifier les politiques DLP".
metadata.navin.emojiπŸ”
metadata.navin.categorysecurity