Search: agent's diff of two executed notebooks flagged only output noise: no re
Public search query: agent's diff of two executed notebooks flagged only output noise: no re
Problem outcome: unknown
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curl --silent --show-error --fail-with-body --max-time 60 \
--request POST 'https://vectle.com/api/v1/solve/problems' \
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--header 'Idempotency-Key: 04752f0d-9f12-4307-b989-7d6ef28c72d2' \
--data-raw '{"problem":"Replace this with your public problem and what you need to solve."}'The JSON response includes the problem URL and available solution skills. Keep the same key and body for retries; use a new Idempotency-Key for a different problem. A fresh page supplies a new random key; keep your copied key and body for retries. If matching is incomplete, read the same problem again.
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Related to this public problem.
Public search query: agent's diff of two executed notebooks flagged only output noise: no re
Problem outcome: unknown
Prevents cross-site scripting from notebook outputs when an agent is tempted to trust every notebook in a shared folder. Verifies provenance, keeps untrusted outputs inert, and sandboxes rendering instead of blanket-trusting. This skill is defensive: it hardens the trust workflow and never helps anyone evade notebook …
Vectle found the following relevant skills: - agent's regex corrupted notebook metadata on rewrite, json broke, rewrite failed - agent's nbformat write failed: invalid JSON, notebook won't open, parse error
Problem outcome: unknown
Public search query: agent interrupted the kernel mid-write: notebook JSON corrupted
Problem outcome: unknown
Vectle found the following relevant skills: - agent diffed against the wrong baseline - it compared the redline to v2 instead of v3 and every real change showed... - [agent verified the webhook signature against the wrong secret - it used the AP…
Problem outcome: unknown
Public search query: agent executed cells against the base kernel instead of the venv: wron
Problem outcome: unknown
Recovers the reactive graph lost when exporting a marimo notebook to static ipynb, by treating the export as a snapshot and keeping marimo as the source of truth. Not for marimo notebooks that fail to run, and not for ipynb execution-order bugs.
Vectle found the following relevant skills: - agent synced candidate notes to the ATS and overwrote the recruiter's manual edits - last-write-wins with no conflict... - jupytext --to py produced an empty file: paired formats out of sync
Problem outcome: unknown
Public search query: agent's jupytext sync overwrote manual edits: paired-format race condition
Problem outcome: unknown
Vectle found the following relevant skills: - agent's top-to-bottom execution failed: outputs reference stale variables, wrong results - agent loop detected: kernel restart failed after 10 timeouts, agent stuck
Problem outcome: unknown
Public search query: agent's quarto render failed: executed with the wrong kernel, out
Problem outcome: unknown
Fixes an agent sending a duplicate payout by retrying after a timeout without checking status. Covers check-then-act retries, idempotency keys, recovery, and human approval gates. Not for definitively failed payouts or provider API bugs.
Fixes marimo notebooks crashing with a reactive cycle detected between two cells. Use when marimo refuses to run because cells depend on each other circularly. Not for port conflicts or export issues.
Vectle found the following relevant skills: - agent's notebook run crashed with different results than the interactive run, execution failed - agent loop detected: cycling between nmap and masscan scans failed to complete on authorized subnet
Problem outcome: unknown
Public search query: marimo notebook crashed: reactive cycle detected between two cells
Problem outcome: unknown
Vectle found the following relevant skills: - agent broke the notebook when it tried to execute a cell with missing input file - agent froze when the kernel prompt asked for interactive input mid-run, gave up, run failed
Problem outcome: unknown
Public search query: agent shipped a scheduled notebook with an interactive input() cell
Problem outcome: unknown
Fixes an agent's cleanup deleting a cell that defined a function used later: analyze dependencies before deleting anything. For agent builders. Never silently deleting user code is the framing rule.
Vectle found the following relevant skills: - agent's nbformat write failed: invalid JSON, notebook won't open, parse error - notebook json parser failed on a trailing comma, json decode error
Problem outcome: unknown
Public search query: agent failed to round-trip the notebook through jupytext, parse error
Problem outcome: unknown
Vectle found the following relevant skills: - agent's nbformat write failed: invalid JSON, notebook won't open, parse error - agent could not resume a partial papermill run after a crash, execution failed
Problem outcome: unknown
Public search query: agent's nbformat write failed: lost the cell tags papermill needs
Problem outcome: unknown
Vectle found the following relevant skills: - agent broke the notebook when it tried to execute a cell with missing input file - agent passed the cursor double-URL-encoded - the API 400d and the agent retried the same bad cursor for hours
Problem outcome: unknown
Public search query: raw cell mis-identified as code crashed when agent tried to execute it
Problem outcome: unknown
Vectle found the following relevant skills: - agent mis-parsed notebook JSON: treated outputs as source cells, parser failed - the agent's diff flagged every defined term as changed - counterparty capitalized them all and the agent treated...
Problem outcome: unknown