agentcore-runtime
Skill1 starsChanged 2 months agoMITView on GitHub
Build or debug applications on Amazon Bedrock AgentCore Runtime, especially TypeScript BYO containers, SSE streaming, image boot failures, session lifecycle and generated-code isolation. Use for Runtime implementation; not for Gateway auth or general Bedrock model selection.
In this repository3 other files it gives its agents.
- AGENTS.mdAGENTS.md
- agentcore-gatewaySkill
- agentcore-operationsSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 24
Start with the current Runtime contract for required endpoints and supported transport details.
- Distinctive: line 33
Check streaming as incremental frames and a terminal outcome, not merely HTTP 200.
- Distinctive: line 38
Use the callback-to-generator example to explore queue, failure and cancellation behavior offline.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
AgentCore Runtime beyond a successful image build
Identify language, deployment owner, transport and the exact failing boundary. Preserve existing CDK, Terraform or CLI ownership. Do not introduce a second infrastructure generator into a working deployment merely to follow a quickstart.
Route by boundary
| Problem | Read |
| Container builds but will not boot; TypeScript packaging | Container contract |
| Buffered progress, lost result, disconnect, timeout or session confusion | Streaming and sessions |
| Running generated code; local sandbox works but deployed kernel fails | Isolation boundaries |
Start with the current Runtime contract
for required endpoints and supported transport details. Field examples here originated
with bedrock-agentcore npm 0.4.1; inspect the installed version before adapting them.
Prove progressively
- Install only the image's manifest in an isolated directory, using the image's package manager, flags and lockfile. A workspace install can conceal missing peers.
- Boot the actual entrypoint and exercise health plus a provider-free invocation.
- Check streaming as incremental frames and a terminal outcome, not merely HTTP 200.
- Bind any remote verification to the deployed digest, runtime version and endpoint.
- Report what each check proves. Local boot does not prove IAM, networking or the target kernel; remote health does not prove a model/tool round trip.
Use the callback-to-generator example to explore queue, failure and cancellation behavior offline. It is a transport building block, not a complete deployed service or a claim that remote work stops when a browser closes. For the SDK HTTP boundary, the local runtime fixture is exercised by the repository's loopback integration test, including a session header.
For authorized deployments, follow the project's existing change controls. Prepare reviewable changes and identify costs/side effects before performing a new mutation.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

