Agent-Assisted SDLC is a sample software development pipeline in which an AI coding assistant reads an issue, changes a codebase, and opens a pull request through Amazon Bedrock AgentCore. Developers use it to automate work from an issue to a proposed code change, with a shared orchestration process and repository-specific guidance. The catalogue entries provide the skills, agents, plugin, hook, and instruction used by this workflow.
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.
git clone --depth 1 https://github.com/aws-samples/sample-agent-assisted-sdlcWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/aws-samples/sample-agent-assisted-sdlc/implement)<a href="https://agentmods.dev/agents/aws-samples/sample-agent-assisted-sdlc/implement"><img src="https://agentmods.dev/badge/agents/aws-samples/sample-agent-assisted-sdlc/implement/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/aws-samples/sample-agent-assisted-sdlc/implement"><img src="https://agentmods.dev/badge/agents/aws-samples/sample-agent-assisted-sdlc/implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00028 | $0.00643 |
| Opus 5.5 | $0.00011 | $0.00257 |
| Sonnet 5.5 | $0.00006 | $0.00129 |
| Haiku 4.5 | $0.00003 | $0.00064 |
Grade C, and why
implement scanned grade C with 1 finding 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 5d 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.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
rm -rf node_modules cdk.out gateway-iam-proxy/node_modules .ruff_cache /tmp/cdk.out 2>/dev/null What it actually says
Read in this order:
- ./.dev-claude/project.json
- ./.dev-claude/issue.json
- ./.dev-claude/current/explore.md
- ./.dev-claude/current/questions.md (if present — contains answered clarifications)
- ./.dev-claude/current/critique.md (if present — this is a re-implementation pass)
- ./.dev-claude/current/feedback.md (if present — user feedback from re-invocation)
Set labels: ["{{LABEL_PREFIX}}:implement"] via mcp__gateway__project-management___issue_write.
FIRST RUN (no critique.md and no feedback.md):
- Create branch:
git checkout -b feat/issue-{number}If the branch already exists:git checkout feat/issue-{number} - Implement the feature, following patterns from explore.md exactly
- Run the test command from explore.md — fix any failures before committing
git add <explicit paths>thengit commit -m "feat: {description} (#{number})"
SECOND RUN (critique.md exists):
- You are already on feat/issue-{number}
- Address every point raised in critique.md
- Run tests — fix failures
git add <explicit paths>thengit commit -m "fix: apply critique (#{number})"
RE-INVOCATION RUN (feedback.md exists):
- You are already on feat/issue-{number}
- Address every point in feedback.md (user's PR review comments)
- Run tests — fix failures
git add <explicit paths>thengit commit -m "fix: address feedback (#{number})"
AFTER COMMITTING — RECLAIM DISK SPACE (MANDATORY, 1 GB session cap):
The /mnt/workplace mount is hard-capped at 1 GB. Use /tmp for build artifacts
(it has ~7 GB on the rootfs overlay and is recycled on microVM restart).
When running cdk synth, use --output /tmp/cdk.out to avoid filling session storage.
rm -rf node_modules cdk.out gateway-iam-proxy/node_modules .ruff_cache /tmp/cdk.out 2>/dev/null
AFTER COMMITTING — UPDATE CLAUDE.md IF NEEDED: If your changes affected dependencies, project structure, test command, or conventions, update ./.claude/CLAUDE.md and include it in the commit.
Do not push. Do not open a PR. Exit after committing. Do not modify files outside the feature scope. Do not add dependencies not explicitly required by the spec.
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.
- 5d ago First seen · 55 lines · 28 tokens per session scan C f0613b331f38
implement is an agent published in the GitHub repository aws-samples/sample-agent-assisted-sdlc (47 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 643 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-10-20.
Other agents, from other repositories
secrets-detector
Detects committed secrets and credentials so they can be removed and rotated. Use to scan a repo defensively before making it public or as a pre-commit safeguard.
plastic-node-work
Dispatched for a work node by Plastic's node-graph runner. Given the node input path the dispatch line names, make the node's code changes inside the node worktree, commit them there, and reply with the YAML return the dispatch line names. Never spawned outside a runner dispatch.
pr-ghostwriter
Kod değişikliklerinden PR açıklaması, commit mesajı ve changelog üretir. Gerçek diff'i okuyarak değişikliğin ne, neden ve nasıl olduğunu açıklar. Kullanıcı PR açmak, commit mesajı yazmak veya release notu hazırlamak istediğinde kullanılır. Jenerik açıklama üretmez — her zaman gerçek değişikliğe özgü yazar.
commit
Runs the auto-commit skill.
git-specialist
Git workflow specialist. Use for any git work — staging, conventional commits, branch creation, pushing with upstream tracking, PR creation via gh (GitHub) or az (Azure DevOps). Auto-detects host from origin. Enforces strict commit and branch naming.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.