Reviewer outreach console

Send real asks, then record only what happened.

Put the highest-priority reviewer asks, copy-ready messages, submission links, and sent-event recording commands on one public page so real outreach can happen without inventing outcomes.

5prioritized asks

5not sent

0accepted evidence

0resume upgrades

Next Reviewer Asks

#1 · ai_engineer_review_items

AI engineer, mentor, or ML systems reviewer

Choose one AI/ML engineer, professor, mentor, or advanced student who can inspect agent architecture.

Channel: LinkedIn DM or mentor email

Status: not_sent

Open submission form Review context Tracking slot

Message

Hi {name}, I am collecting public review evidence for my Data Quality Agent project so I can make resume claims only when they are backed by real, redacted GitHub evidence. Could you spend 8-15 minutes submitting this review form: https://github.com/sunnnn2005/data-quality-agent/issues/new?template=ai_engineer_review.md. The public tracking slot is https://github.com/sunnnn2005/data-quality-agent/issues/26. The ask is: Inspect the LLM tool-calling loop, guardrails, and evidence trail for AI Engineer credibility. Please create/submit your own public review issue, share only public, non-private details, and include the permission sentence in the issue if you are comfortable letting me count it.

Record after real send

python scripts/record_reviewer_outreach_event.py --slot-id review_slot_07 --status sent --reviewer-contact "" --channel-used "LinkedIn DM or mentor email" --note "Sent ai_engineer_review_items reviewer request"

A non-owner public GitHub issue passes the external reviewer evidence gate, includes explicit permission to count the evidence, and contains no private data.

#2 · confirmed_external_users

reviewer who opened the demo or ran the repo

Choose one person who can simply open the demo and confirm what they tried.

Channel: class Discord, friend DM, or club Slack

Status: not_sent

Open submission form Review context Tracking slot

Message

Hi {name}, I am collecting public review evidence for my Data Quality Agent project so I can make resume claims only when they are backed by real, redacted GitHub evidence. Could you spend 8-15 minutes submitting this review form: https://github.com/sunnnn2005/data-quality-agent/issues/new?template=demo_feedback.md. The public tracking slot is https://github.com/sunnnn2005/data-quality-agent/issues/23. The ask is: Confirm the exact path used and whether the result was understandable. Please create/submit your own public review issue, share only public, non-private details, and include the permission sentence in the issue if you are comfortable letting me count it.

Record after real send

python scripts/record_reviewer_outreach_event.py --slot-id review_slot_04 --status sent --reviewer-contact "" --channel-used "class Discord, friend DM, or club Slack" --note "Sent confirmed_external_users reviewer request"

A non-owner public GitHub issue passes the external reviewer evidence gate, includes explicit permission to count the evidence, and contains no private data.

#3 · reproducible_feedback_items

engineer comfortable with Docker or local setup

Choose one developer who can run a command or inspect the local replay instructions.

Channel: GitHub issue comment, Discord, or DM to a developer comfortable with Docker

Status: not_sent

Open submission form Review context Tracking slot

Message

Hi {name}, I am collecting public review evidence for my Data Quality Agent project so I can make resume claims only when they are backed by real, redacted GitHub evidence. Could you spend 8-15 minutes submitting this review form: https://github.com/sunnnn2005/data-quality-agent/issues/new?template=business_data_replay.md. The public tracking slot is https://github.com/sunnnn2005/data-quality-agent/issues/22. The ask is: Run the local replay path and confirm whether the report is reproducible. Please create/submit your own public review issue, share only public, non-private details, and include the permission sentence in the issue if you are comfortable letting me count it.

Record after real send

python scripts/record_reviewer_outreach_event.py --slot-id review_slot_03 --status sent --reviewer-contact "" --channel-used "GitHub issue comment, Discord, or DM to a developer comfortable with Docker" --note "Sent reproducible_feedback_items reviewer request"

A non-owner public GitHub issue passes the external reviewer evidence gate, includes explicit permission to count the evidence, and contains no private data.

#4 · business_case_feedback_items

data analyst or analytics student

Choose one person who has seen messy spreadsheets, support tickets, sales data, or operations data.

Channel: email or in-person ask to someone who has handled messy operational data

Status: not_sent

Open submission form Review context Tracking slot

Message

Hi {name}, I am collecting public review evidence for my Data Quality Agent project so I can make resume claims only when they are backed by real, redacted GitHub evidence. Could you spend 8-15 minutes submitting this review form: https://github.com/sunnnn2005/data-quality-agent/issues/new?template=business_case_review.md. The public tracking slot is https://github.com/sunnnn2005/data-quality-agent/issues/24. The ask is: Submit one anonymized data-quality problem this agent should handle. Please create/submit your own public review issue, share only public, non-private details, and include the permission sentence in the issue if you are comfortable letting me count it.

Record after real send

python scripts/record_reviewer_outreach_event.py --slot-id review_slot_05 --status sent --reviewer-contact "" --channel-used "email or in-person ask to someone who has handled messy operational data" --note "Sent business_case_feedback_items reviewer request"

A non-owner public GitHub issue passes the external reviewer evidence gate, includes explicit permission to count the evidence, and contains no private data.

#5 · external_feedback_items

UC Davis data science peer

Choose one peer who can leave specific product or README feedback.

Channel: LinkedIn DM, class Discord, or project channel

Status: not_sent

Open submission form Review context Tracking slot

Message

Hi {name}, I am collecting public review evidence for my Data Quality Agent project so I can make resume claims only when they are backed by real, redacted GitHub evidence. Could you spend 8-15 minutes submitting this review form: https://github.com/sunnnn2005/data-quality-agent/issues/new?template=demo_feedback.md. The public tracking slot is https://github.com/sunnnn2005/data-quality-agent/issues/20. The ask is: Try the public demo and report one confusing or useful workflow detail. Please create/submit your own public review issue, share only public, non-private details, and include the permission sentence in the issue if you are comfortable letting me count it.

Record after real send

python scripts/record_reviewer_outreach_event.py --slot-id review_slot_01 --status sent --reviewer-contact "" --channel-used "LinkedIn DM, class Discord, or project channel" --note "Sent external_feedback_items reviewer request"

A non-owner public GitHub issue passes the external reviewer evidence gate, includes explicit permission to count the evidence, and contains no private data.

Counting Boundaries

Recording a sent message proves distribution execution only.
Private replies do not count as public evidence.
A resume outcome is upgraded only after a non-owner public GitHub issue passes the evidence gate.
Do not include raw business rows, secrets, customer names, private emails, addresses, or tokens.
Do not buy, trade, or pressure for GitHub stars.

Generated by scripts/build_reviewer_outreach_console.py. Published a reviewer outreach console with 5 prioritized asks, 5 not-sent messages, copy-ready evidence links, and zero upgraded resume outcomes.