Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/j-pster/psters_ai_workflow/deploy-lambdanpx skills add J-Pster/Psters_AI_Workflow --skill deploy-lambdagit clone --depth 1 https://github.com/J-Pster/Psters_AI_WorkflowWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00041 | $0.00772 |
| Opus 5 | $0.00020 | $0.00386 |
| Sonnet 5 | $0.00008 | $0.00154 |
| Haiku 4.5 | $0.00004 | $0.00077 |
Grade A, and why
aws-lambda-deploy scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Lambda Deploy
Lambdas are deployed only via the project's deploy scripts, using AWS CLI. No CDK deploy, no IAC apply.
Step 1: Detect guaranteed scripts before deploy
From the Lambda repo root, inspect ./scripts/ for guaranteed deploy scripts.
Preferred script names:
- Single function:
deploy-lambda-guaranteed.sh - All functions:
deploy-all-lambdas-guaranteed.sh
Accept equivalent variants only if they are clearly the same guaranteed flow.
Rule: Use the guaranteed deploy scripts
Each Lambda repo that has deploy scripts must use them:
- Single function:
./scripts/deploy-lambda-guaranteed.sh <lambda-name> [--profile PROFILE] [--region REGION] - All functions in repo:
./scripts/deploy-all-lambdas-guaranteed.sh [--profile PROFILE] [--region REGION]
Script names may vary by repo (e.g. deploy-lambda-guaranteed.sh, deploy-all-lambdas-guaranteed.sh). Look in that repo's scripts/ folder.
Step 2: Mandatory fallback when scripts do not exist
If no guaranteed deploy script exists, do not deploy manually.
Instead, pause and ask the user before creating defaults. Use this message pattern:
No guaranteed deploy script was found in ./scripts. I suggest creating standard deploy scripts now (single Lambda and deploy-all), based on the plugin defaults. Should I create them for this repo?
If the user approves, create these files in the target Lambda repo:
./scripts/deploy-lambda-guaranteed.sh./scripts/deploy-all-lambdas-guaranteed.sh
Template source (inside plugin):
assets/lambda-deploy/deploy-lambda-guaranteed.template.shassets/lambda-deploy/deploy-all-lambdas-guaranteed.template.sh
After creation:
- Make scripts executable (
chmod +x). - Review placeholders/TODO values with the user.
- Run deploy through the guaranteed script only.
Prerequisite: AWS SSO login
Before any AWS CLI command (including deploy):
aws sso login --profile <aws-profile>
Replace <aws-profile> with the project's AWS profile. If you skip this, deploy will fail with credential/session errors.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 2d ago First seen · 83 lines · 41 tokens per session scan A 050bf2129ebb
aws-lambda-deploy is a skill published in the GitHub repository J-Pster/Psters_AI_Workflow (290 stars, last pushed 5mo ago), licensed MIT. It adds 41 tokens to every session and 772 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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