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Capture production errors in your own deployment · get-convex | DecimalAI

devopsby get-convex

Capture production errors in your own deployment

get-convex/convex-sentinel

Source get-convex/agent-skills ↗License Not recorded

Set up Sentinel production error capture in your own Convex deployment.

SkillScore86Maintained

Automatic

DevOps & SRE pack

Last verified 8/28/2026

What it changes

Passed 19 of 22 test cases with the skill, and 10 of 22 without it.

Without skill45%

With skill86%

Checks it passed that the model alone missed

Recommends calling app.use(sentinel).
Mentions running the convex data command.
Specifies using triage to classify errors.

and 12 more in the full report

11 fixed8 passed either way1 still failing2 broke

Pass-rate lift: +41 pp
Tokens: -39%
Agent turns: 0%
Response time: -52%

Model gemini-3.6-flashMeasured 8/28/2026v119 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/get-convex-convex-sentinel/SKILL.md https://app.decimal.ai/s/get-convex-convex-sentinel/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add get-convex-convex-sentinel, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/get-convex-convex-sentinel/ and pins it in .decimal/skills.lock

decimalai skills add get-convex-convex-sentinel

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/get-convex-convex-sentinel/SKILL.md https://app.decimal.ai/s/get-convex-convex-sentinel/SKILL.md

Raw file: /s/get-convex-convex-sentinel/SKILL.md ↗ · machine-readable summary at /s/get-convex-convex-sentinel.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

We want to trigger a Slack notification whenever a severe crash occurs in production. What specific event name does the Convex error monitoring system emit for new production crashes?

What was checked, without and with the skill
Checked	Without skill	With skill
Identifies prod_error as the monitor event name.	Missed	Passed

case-13 · gemini-3.6-flash · 8/28/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md20 linessingle file

Capture production errors in your own deployment

Install @convex-dev/sentinel to capture production errors (server function failures, client JS/React crashes, OCC and scale signals) into a table in the user's OWN deployment, redacted at write time, then react to new ones. Data never leaves the user's deployment.

Workflow

Install the component: app.use(sentinel) in convex/convex.config.ts.
Wire the client SDK: a React error boundary plus window.onerror/unhandledrejection and breadcrumbs.
Redaction runs at write time and is on by default (default-deny on secret key names and value patterns).
Read recent errors with the Convex CLI (convex data, run-once-query); react to new ones via the monitor's prod_error event.
Optionally enable the self-healing cron: triage classifies each error and, for recurring non-transient ones, hands it to ai-runner to open a fix PR.

Rules

Redaction is mandatory and on by default — never store raw secrets; the agent's reads reach the model provider.
Data stays in the user's deployment; never send it to a third party.
Sample and cap to control volume and cost.
Capturing PROD errors needs a deployed cloud app; install works anonymously.

Track record

Benchmark

19 / 22

test cases passed, vs 10 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/7/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

get-convex / agent-skills

skills/convex-sentinel/SKILL.md

View on GitHub ↗

Imported 8/7/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Capture production errors in your own deployment

Workflow

Rules

Track record

Benchmark

Adoption

SkillSafety

Source

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