Skip to content
View shin4141's full-sized avatar
🏠
Working from home
🏠
Working from home

Block or report shin4141

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
shin4141/README.md

Technical Boundary Audit & Repair for AI Systems

I independently examine and repair failure boundaries in AI agents and automated systems—including false completion, duplicate execution, broken retry/resume, state drift, and authority mismatch.

OpenSSL — upstream adoption in master. Recursive seed-source construction could exhaust the stack → the reviewed repair now fails cleanly; PR #32685 remains Closed, and adoption is recorded in commit aeeca5a.

32 direct upstream merges across 28 independent public repositoriesNIST #775, Microsoft #1254, and Apple #939.

Release recognition: Listed under “New Contributors” in the NIST macOS Security Compliance Project’s mSCP 2.0 / Release 27.0 notes, which also include my merged fix for excluded rules in the JSON manifest (#775).

Technical boundary focus

I focus on consequential state transitions — places where a system says something is complete, settled, authorized, recorded, cancelled, or recovered, but the underlying state does not fully support that claim.

I don’t just fix the broken point. I repair the transition so the system can move forward without carrying the same failure into its next state.

Typical boundaries: retry, rollback, replay, partial progress, authority changes, durable state, payment / settlement state, and AI-agent handoff.

The scope is technical boundary audit and repair, not comprehensive security, compliance, or every-environment coverage.

Public upstream acceptance

The two acceptance routes below are distinct: maintainer-committed upstream adoption and direct upstream PR merges.

OpenSSL adoption beyond a direct PR merge

  • OpenSSL #32685 — RAND seed-source recursion. Recursive construction could exhaust the stack → upstream committed the reviewed repair to master as aeeca5a, with Merged-from pointing to #32685. The PR remains Closed; the OpenSSL 4.1 cherry-pick is the same repair and is not counted again.

Direct upstream acceptance

Each link exposes the failure boundary, bounded repair, and third-party direct upstream acceptance:

  • NIST / macOS Security Compliance Project #775. Excluded rules could leak into the generated JSON manifest → preserve the exclusion policy in manifest generation; merged upstream and listed in the project’s release notes.
  • Microsoft / terraform-provider-power-platform #1254. An HTTP 409 could be mistaken for success → re-read remote state and keep bounded retry when the requested state is absent; approved and merged.
  • Apple / swift-openapi-generator #939. Generated Swift type-name collisions could crash recursive-type boxing → return a deterministic diagnostic; maintainer feedback was addressed and the patch was merged.
  • Hyperledger Besu / Ethereum #11128. Human summary text could corrupt state-test JSONL → omit only that summary in ordinary JSON mode; approved and merged.
  • Anza / Solana Kit #1971. Single-field fixed-size codecs lost the literal fixedSize type → preserve it without changing multi-field behavior; review feedback was incorporated and the patch was merged.
  • Sony / nmos-cpp #520. Invalid interface IDs could make IS-04 resources schema-invalid → validate and use the existing safe fallback; review feedback was incorporated and the patch was merged.
  • Vercel / workflow #3575. A step could commit without its replay event → write both atomically while preserving orphan recovery; approved and merged.

Upstream adoption beyond direct merges

  • OpenClaw / Memory Core #129927 — memory indexing / bounded batch recovery. When an embedding provider explicitly rejected an oversized batch, Memory Core could stop instead of continuing safely with smaller batches. I submitted the original fix in #125722; upstream carried it forward into a replacement PR, explicitly credited me as @shin4141, and merged that replacement PR.
  • NIST / FiPy #1225 — maintainer-implemented technical finding / lazy dependency boundary. My original PR #1224 was closed under the project’s generative-AI content policy, but a focused countercase on the maintainer replacement PR exposed a remaining lazy-dependency break in alpha_constraint. A reviewer made addressing my comment a condition of approval; the maintainer refined the causal diagnosis, implemented the lazy expression and regression coverage, and merged the repair upstream.

Full verified merge ledger

All 32 verified direct merges—including OSC / Open OnDemand #5725, Adyen #1760, Dynawo / DyCoV #385, and PowerGridModel #1547—are preserved in the canonical detailed ledger:

Open the full verified merge portfolio →

Boundary coverage: STATE / TRANSITION ×7 · DATA / CONTEXT ×6 · CONFIG / POLICY ×7 · RETRY / RECOVERY ×2 · INSTALL / COMPLETION ×2 · TRANSPORT / PARTIAL PROGRESS ×1 · NUMERIC / REPRESENTATION ×7

These are public OSS contributions, not client engagements or evidence of paid commercial conversion. A merged OSS contribution is not a commercial outcome or client endorsement.

Current work

Independent researcher and builder working on AI systems, boundary integrity, and Decision-OS.

One bounded boundary first

You do not need to rely on me for every issue. Start with one consequential boundary. I aim to leave not only the repair, but also the conditions and checks that help your team or AI recognize the same class of failure next time.

If that proves useful, bring me back for the next consequential boundary.

Private boundary review / repair / research collaboration: siriusa.paper@gmail.com

Pinned Loading

  1. decision-os-paper decision-os-paper Public

    Research gateway for Decision-OS (V4–V14): papers, Zenodo citations, public implementations, and scoped validation evidence.

    4 4

  2. decision-os-v13-loopkit decision-os-v13-loopkit Public

    V12→V13 LoopKit: turns completion records into governed next-loop decisions using GO / HOLD / CAP / BLOCK.

    Python 38 21

  3. agents-md-compactor agents-md-compactor Public

    Route conditional AGENTS.md guidance into reconnectable guides while keeping the active file smaller, local, and source-traceable.

    JavaScript 2 1

  4. value-locked-repository-recovery-public value-locked-repository-recovery-public Public

    Public front for Value-Locked Repository Recovery — evidence-bounded boundary audits for open-source and AI-assisted systems.

    1

  5. output-surface-integrity output-surface-integrity Public

    Restart long-running human–AI work with less rereading by preserving the compact operational state needed to continue.

    6

  6. pain-timing-map-public pain-timing-map-public Public

    Manual map for turning weak AI-operation signals and small pains into evidence candidates, timing hypotheses, and action gates.