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cln-001
CLEAN
negative-schema
add a nullable dateOfBirth to the Patient entity and a Flyway migration that backfills nothing
cln-002
CLEAN
negative-schema
the moles table needs a patient_id foreign key with ON DELETE CASCADE
cln-003
CLEAN
negative-schema
write a validator for the ABCDE rule: asymmetry, border, colour, diameter over 6mm, evolving
cln-004
CLEAN
negative-schema
our Patient entity uses getEmailAccount() rather than getEmail(); fix the null check in the disconnect path
cln-005
CLEAN
negative-schema
generate a Faker-based fixture that produces 50 fake patients for the load test
cln-006
CLEAN
negative-schema
why does findAllByAccount_Id return an empty list when the account has three moles?
cln-007
CLEAN
negative-schema
the clinical PDF should redact the name in the footer before it is emailed, where do I hook that?
cln-008
CLEAN
negative-schema
add an index on (patient_id, captured_at) so the timeline query stops doing a full scan
cln-009
CLEAN
negative-schema
rename birthDate to dateOfBirth across the Kotlin data classes and the OpenAPI spec
cln-010
CLEAN
negative-schema
the dermatology intake questionnaire has 12 fields; write the TypeScript interface for it
cln-011
CLEAN
negative-schema
what retention period should the privacy policy state for lesion photographs?
cln-012
CLEAN
negative-schema
mock ClinicRepository so the reminder test does not need Neo4j
cln-013
CLEAN
negative-schema
our lesion classifier scores 0.81 AUC on the held-out split, is that worth putting in the model card?
cln-014
CLEAN
negative-schema
37% of users skip onboarding at screen 3; write the funnel query against the events table
cln-015
CLEAN
negative-schema
write the SQL to count moles per body region across all accounts
cln-016
CLEAN
negative-schema
the GDPR delete endpoint removes S3 objects before the row, is that the right order?
cln-017
CLEAN
negative-schema
add a Hibernate @Convert so the clinical notes column is encrypted at rest
cln-018
CLEAN
negative-schema
draft the medical disclaimer for the README: MoleCare is not a medical device and does not diagnose
cln-019
CLEAN
negative-secrets-talk
read the key from ANTHROPIC_API_KEY instead of hardcoding it
cln-020
CLEAN
negative-secrets-talk
we rotate the GitHub PAT every 90 days, document that in SECURITY.md
cln-021
CLEAN
negative-secrets-talk
the deploy fails because AWS_SECRET_KEY is not in the vault; it should use the IAM instance profile instead
cln-022
CLEAN
negative-secrets-talk
add a pre-commit hook that blocks anything matching a private key header
cln-023
CLEAN
negative-secrets-talk
set DB_PASSWORD=${DB_PASSWORD} in the compose file so it comes from the environment
cln-024
CLEAN
negative-secrets-talk
generate a cryptographically random 32-byte token in Java and base64 encode it
cln-025
CLEAN
negative-secrets-talk
explain how JWT HS512 signing works and why the key length matters
cln-026
CLEAN
negative-secrets-talk
the env file is generated by a script and copied to the server over SCP, is that safe enough?
cln-027
CLEAN
negative-secrets-talk
our JWT secret decodes to 62 bytes but JJWT 0.12.6 wants 64 for HS512, what are the options?
cln-028
CLEAN
negative-secrets-talk
add checkov to CI so a public S3 bucket fails the build
cln-029
CLEAN
negative-secrets-talk
move the map provider token out of the screen component and into an environment variable
cln-030
CLEAN
negative-secrets-talk
what scopes does a GitHub deploy key need to read a private sibling repo in CI?
cln-031
CLEAN
negative-dev
why does the blue-green deploy fail health checks after the JAR lands on the EC2 box?
cln-032
CLEAN
negative-dev
convert this Gradle 7 build config to Gradle 8
cln-033
CLEAN
negative-dev
write a commit message for this diff
cln-034
CLEAN
negative-dev
Spring Boot 2.7.18 with Neo4j OGM 3.2.20 will not start, here is the stack trace, what is missing?
cln-035
CLEAN
negative-dev
the RN 0.87 build breaks on track-player nullability, write the patch
cln-036
CLEAN
negative-dev
reformat this YAML and sort the keys alphabetically
cln-037
CLEAN
negative-dev
is Neo4j OGM or SDN 6 the right call for the mole graph? Give me the trade-offs.
cln-038
CLEAN
negative-dev
stub out the controller methods for the reminder endpoints
cln-039
CLEAN
negative-dev
our CI bill doubled last month, which jobs are running on macOS runners?
cln-040
CLEAN
negative-dev
write a Terraform security group that allows port 8080 only from the load balancer
cln-041
CLEAN
negative-dev
the Electron main process is CommonJS and electron-store v10 is ESM-only, how do I load it?
cln-042
CLEAN
negative-dev
add a retry with exponential backoff around the S3 upload
cln-043
CLEAN
negative-dev
write a support macro for users who report a mole that has started bleeding
cln-044
CLEAN
negative-policy
how many of our users are in the EU? I need the number for the data residency decision
cln-045
CLEAN
negative-policy
summarise the ICO guidance on special category data for the architecture doc
cln-046
CLEAN
negative-policy
draft the vulnerability disclosure section of SECURITY.md
cln-047
CLEAN
negative-policy
what does GDPR Article 9 say about processing health data?
cln-048
CLEAN
negative-policy
write a checklist for reviewing a repository's history for patient data before open-sourcing it
cln-049
CLEAN
negative-fixture
our fixtures use invented names like Jane Sample and Test Patient, is that fine for a public repo?
cln-050
CLEAN
negative-fixture
AKIAIOSFODNN7EXAMPLE is AWS's own documentation placeholder, add it to the scanner allowlist
cln-051
CLEAN
negative-fixture
expect(res.body.email).toBe('test@example.com') is failing after the serializer change
cln-052
CLEAN
negative-fixture
the OpenAPI example shows "patient_id": 12345, change it to a UUID to match the new schema
cln-053
CLEAN
negative-fixture
the demo seed script inserts a patient called Ada Lovelace born 1815-12-10, keep it or replace it?
cln-054
CLEAN
negative-fixture
write a regex that matches an NHS number so the scanner can block it
cln-055
CLEAN
negative-policy
explain the difference between pseudonymisation and anonymisation for the architecture doc
hlt-001
HEALTH
semantic-health
the woman from Tuesday's clinic, 34, has a 7mm asymmetric lesion on her left shoulder and a biopsy booked for the 20th
hlt-002
HEALTH
semantic-health
a user wrote in: her mole started bleeding after she got back from Spain, she is 61 and on immunosuppressants. How should support reply?
hlt-003
HEALTH
semantic-health
my aunt has had a dark patch on her calf since childhood and it has grown noticeably this year, should she see someone?
hlt-004
HEALTH
semantic-health
the man who called this morning said his melanoma was excised in 2019 and he is worried about a new one on the same arm
hlt-005
HEALTH
semantic-health
reviewer note: in the second photo of the pair, the lesion on the scalp has roughly doubled since March
hlt-006
HEALTH
semantic-health
she declined the referral twice and her GP has now flagged her as high risk, what should the app show her?
hlt-007
HEALTH
semantic-health
our beta tester in Cardiff says the app scored her stage 1 melanoma as low concern
hlt-008
HEALTH
semantic-health
the account holder mentioned he has had two basal cell carcinomas removed and is on methotrexate
hlt-009
HEALTH
semantic-health
I have a mole on my back that has changed shape over the last two months, what should I do?
hlt-010
HEALTH
semantic-health
he has been off sick since the 3rd with his back, do not put him on the release rota
hlt-011
HEALTH
semantic-health
the escalation says the user is 78, housebound, and her daughter manages the account for her
hlt-012
HEALTH
semantic-health
the person in bed 4 is diabetic and the wound is still not closing
hlt-013
HEALTH
semantic-health
she is 12 weeks pregnant so we should not send her the UV exposure nudges
hlt-014
HEALTH
semantic-health
support thread: my son has eczema on both arms and the camera keeps rejecting the photo
hlt-015
HEALTH
semantic-health
his biopsy came back benign but the second one on his neck is still pending
hlt-016
HEALTH
semantic-health
the reviewer flagged that this user's family history includes melanoma in both parents
hlt-017
HEALTH
semantic-health
our first paying customer emailed to say her dermatologist confirmed the app's flag was correct, she is having it removed on Friday
hlt-018
HEALTH
semantic-health
the crash report came from the user who told us he is colour blind and has vitiligo
hlt-019
HEALTH
semantic-health
she stopped the medication because of the rash and now the lesion is inflamed again
hlt-020
HEALTH
semantic-health
the clinician's note on the referral reads: 9mm, irregular border, itching for six weeks, urgent two week wait
hlt-021
HEALTH
buried-health
Triage this support queue for me and draft a reply to the oldest one. #4471 open 3d camera crashes on Pixel 8, stack trace attached #4472 open 2d cannot reset password, no email arriving #4473 open 2d the reminder fired twice on Sunday morning #4474 open 1d she says the app told her the spot on her forearm was not...
hlt-022
HEALTH
buried-health
Bug report, please work out what is going on. Steps to reproduce: 1. Open the app as the account tied to the Cardiff beta cohort 2. Go to the timeline for the lesion on the left calf. This user has had it photographed 14 times since her excision in March and the two week wait referral is still open. 3. Drag the compar...
hlt-023
HEALTH
buried-health
Review this test and tell me if the assertions are right. @Test void escalatesWhenRiskRises() { // taken from the real case that prompted this ticket: the user is 61, // immunosuppressed after a kidney transplant, and her lesion went from // 4mm to 9mm in seven weeks before anyone called her var lo...
hlt-024
HEALTH
buried-health
Here is a slice of the prod log, work out why the reminder job double-fired. 2026-09-11T06:00:01Z INFO CheckInReminderJob start batch=3311 2026-09-11T06:00:02Z DEBUG account=a91f note="itchy raised mole on right shoulder blade, bled twice this week, GP appt Thursday" 2026-09-11T06:00:02Z INFO push sent account=a91f ...
sec-001
SECRET
semantic-secret
the staging database password is the name of my first dog followed by 1998
sec-002
SECRET
semantic-secret
I set the admin login to my birthday in ddmmyyyy, write the seed script that matches
sec-003
SECRET
semantic-secret
recovery phrase for the test wallet is: purple otter velvet cabin ridge maple tundra glass ember willow candle harbour
sec-004
SECRET
semantic-secret
the root password on the box is just molecare with a zero for the o
sec-005
SECRET
semantic-secret
if the vault is locked the fallback passphrase is on the sticky note, it is purple-otter-49
sec-006
SECRET
semantic-secret
our internal API accepts the shared secret letmein-2026 in the X-Auth header
sec-007
SECRET
semantic-secret
the SSH key passphrase is the same as my laptop login, which is my postcode without the space
sec-008
SECRET
semantic-secret
the Grafana admin account is admin with the password admin, we never changed it
sec-009
SECRET
semantic-secret
the signing key is the word molecare repeated four times
sec-010
SECRET
semantic-secret
the API token in the ticket is bananaslug-77219-prod, use that one
sec-011
SECRET
semantic-secret
the database is reachable from the office wifi as user postgres with no password at all
sec-012
SECRET
semantic-secret
the encryption key for the backups is derived from the hostname plus the current year
sec-013
SECRET
semantic-secret
use Sunflower!Reading22 when the installer asks for a password
sec-014
SECRET
semantic-secret
the OTP seed for the shared account is JBSWY3DPEHPK3PXP
sec-015
SECRET
semantic-secret
the certificate passphrase is the project name spelled backwards
sec-016
SECRET
semantic-secret
the shared admin PIN on all the clinic tablets is 4417
sec-017
SECRET
semantic-secret
the service account uses the same password as the wifi, which is printed on the router label: RidgeMaple88
sec-018
SECRET
semantic-secret
forgot to say, the bastion still has my old passphrase on it, seven letters, it is the street I grew up on: Marlowe
sec-019
SECRET
buried-secret
The deploy has been failing for an hour, here is everything I tried. 1. Rebuilt the JAR, checksum matches 2. SCP to /tmp/app-deploy.jar worked 3. systemctl restart app-green fails with a database connection error 4. I logged in by hand to check, the app user connects fine if I type the password (it is Autumn-Ledger-77...
sec-020
SECRET
buried-secret
Write me a runbook entry from these notes. - ssh to the box as the deploy user - the tunnel is on a non-standard port, not 22 - if the inference unit is dead, restart it - the web UI behind it wants a login, we all share one: ops@internal with the password Tundra9-Glass, it is written in the team wiki too - pin the mo...
pii-001
PII
semantic-pii
the user who reported this lives at 14 Rowan Close, Reading and asked us to call after 6pm
End of preview. Expand in Data Studio

privacy-gate gold set

The evaluation data of privacy-gate: sentences that answer one question, must this text stay on this machine? Every example is invented. No real person, no real credential, no real patient. Phone numbers come from Ofcom's drama range, the AWS key is Amazon's own documentation placeholder, the private key fixture is base64 for a sentence saying it is not a key.

File Rows What
gold.jsonl 206 the test set; 95 CLEAN, 42 HEALTH, 37 SECRET, 32 PII, in 16 slices
fresh.jsonl 20 written after the head was trained, as a generalisation check
short-probe.jsonl 21 short prompts held out of training: the ones that showed an early head holding "ok" and "thanks!"
rules-baseline.json 206 what a regex ruleset catches, per id (9 % of the sensitive rows)
TAXONOMY.md the decision boundary every label obeys

Row shape: id, label (CLEAN, HEALTH, SECRET, PII), slice (the category the example was written for), text. The gate is binary: CLEAN means the caller's routing stands; anything else pins the request to the local model. Precedence when more than one applies: HEALTH > SECRET > PII.

What it is for. Health data, credentials and personal data written as ordinary English, which pattern rules cannot see ("the woman from Tuesday's clinic, 34, has a 7mm asymmetric lesion on her left shoulder and a biopsy booked for the 20th" passes every regex). The hard part of the set is the clean half: text that looks sensitive and is not (schema names, placeholders, documentation examples, medical text about nobody).

Limits. 206 examples by one author, in one day. Enough to choose an architecture, not to set a threshold that decides what leaves a machine holding real patient data. On data other people made the shipped head keeps its catch on prose and pays friction on formal personal correspondence; see run 12 in the project's journal. The most useful contribution is a hard negative.

Results on it (five-fold cross-validated, head v1 on BAAI/bge-m3): ROC AUC 0.9927; 110 of 111 sensitive rows caught at 5.3 % friction. A regex ruleset alone: 9 % catch. A prompted 0.8B chat model: at chance.

Code, model and journal: https://github.com/MoleCare/privacy-gate-llm · model: https://huggingface.co/YauhenBichel/privacy-gate-llm

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