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/awslabs/startups/agent-advisornpx skills add awslabs/startups --skill agent-advisorgit clone --depth 1 https://github.com/awslabs/startupsWhat 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 | $0.00560 | $0.03750 |
| Opus 5 | $0.00280 | $0.01875 |
| Sonnet 5 | $0.00112 | $0.00750 |
| Haiku 4.5 | $0.00056 | $0.00375 |
Grade A, and why
agent-advisor 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 3d 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 — 189 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AWS Agent Advisor
Helps startups decide how and where to run AI agents on AWS. Deterministic scoring recommends a runtime; the conversation adapts to the user's technical background.
Definitions
- "Load" = Read the file with the Read tool and follow it. Do not summarize or skip.
$RUN_DIR= the run directory under.agent-advisor/(e.g..agent-advisor/0630-1430/), created in Intake.$PLUGIN=${CLAUDE_PLUGIN_ROOT}(the installed plugin root). On Claude Code this token substitutes inline. If${CLAUDE_PLUGIN_ROOT}does not resolve (some Cursor/Codex builds, or a literal${CLAUDE_PLUGIN_ROOT}string showing up in a path error), fall back to the skill's own directory: this SKILL.md lives at<plugin>/skills/agent-advisor/SKILL.md, so the engine and its data are all inside this skill — scripts at./scripts/..., runtime profiles at./references/runtimes/..., and decision refs at./references/decision-refs/...relative to it. Prefer${CLAUDE_PLUGIN_ROOT}/skills/agent-advisor/...; use the relative fallback only when it fails to resolve.
Prerequisites
uvavailable (for scoring). Check:uv --version. If missing, tell the user to install it from the official install guide (https://docs.astral.sh/uv/getting-started/installation/ — e.g.brew install uvorpipx install uv) and stop.
Phase Structure (frontmatter)
Phase, fragment, and assembler files carry a YAML frontmatter block that declares how each
phase is composed — its inputs, triggers, fragments, assembler, artifacts, gates, and
ordering. The execution contract is the vendored references/vendored/dsl/INTERPRETER.md:
it defines every frontmatter key, the fragment/assembler model, the gate protocol
(HANDOFF_OK / GATE_FAIL), and the interpreter loop. Load it first (once, at the
start of a run), then execute each phase file's prose body. Elsewhere in this skill,
INTERPRETER.md (without a path) refers to this loaded contract.
Execution
What ships with it
60 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/decision-refs/agentcore.md 4.3 KB
- references/decision-refs/batch.md 2.3 KB
- references/decision-refs/cost-levers.md 1.8 KB
- references/decision-refs/ecs.md 1.4 KB
- references/decision-refs/eks.md 1.1 KB
- references/decision-refs/freshness.md 8.6 KB
- references/decision-refs/lambda-microvms.md 1.9 KB
- references/decision-refs/lambda.md 1.1 KB
- references/decision-refs/managed-alternatives.md 793 B
- references/decision-refs/maturity-readiness.md 2.8 KB
- references/decision-refs/model-selection.md 4.2 KB
- references/decision-refs/poc-shapes.md 15 KB
- references/decision-refs/temporal.md 18 KB
- references/decision-refs/workload-classes.md 2.2 KB
- references/diagram/build-diagram.md 5.1 KB
- references/handoff/handoff-migration.md 2.1 KB
- references/models/anthropic-bedrock-2026-07-21.json 5.9 KB
- references/models/openai-bedrock-2026-08-21.json 16 KB
- references/output-templates/recommendation-doc.md 4.9 KB
- references/phases/add-capabilities/add-capabilities-assemble.md 951 B
- references/phases/add-capabilities/add-capabilities.md 3.7 KB
- references/phases/clarify/clarify-assemble.md 1.4 KB
- references/phases/clarify/clarify-business.md 3.3 KB
- references/phases/clarify/clarify-technical.md 2.7 KB
- references/phases/clarify/clarify.md 26 KB
- references/phases/confirm/confirm-assemble.md 1019 B
- references/phases/confirm/confirm.md 15 KB
- references/phases/design/design-assemble.md 1.7 KB
- references/phases/design/design.md 26 KB
- references/phases/discover/discover-assemble.md 1.2 KB
- references/phases/discover/discover.md 10.0 KB
- references/phases/estimate/estimate-assemble.md 805 B
- references/phases/estimate/estimate.md 19 KB
- references/phases/generate/generate-assemble.md 1.0 KB
- references/phases/generate/generate-report.md 46 KB
- references/phases/generate/generate.md 16 KB
- references/phases/intake/intake-assemble.md 991 B
- references/phases/intake/intake.md 5.6 KB
- references/phases/migration-plan/migration-plan-assemble.md 1.2 KB
- references/phases/migration-plan/migration-plan-gcp-constraints.md 3.8 KB
- references/phases/migration-plan/migration-plan.md 29 KB
- references/phases/model-recommend/model-recommend-assemble.md 872 B
- references/phases/model-recommend/model-recommend.md 15 KB
- references/phases/poc/poc-assemble.md 1.0 KB
- references/phases/poc/poc-report.md 13 KB
- references/phases/poc/poc.md 44 KB
- references/report-help-banner.md 6.0 KB
- references/report-shell.md 12 KB
- references/runtimes/agentcore.json 2.7 KB
- references/runtimes/ecs.json 1.5 KB
- references/runtimes/eks.json 1.4 KB
- references/runtimes/lambda_microvms.json 3.3 KB
- references/runtimes/lambda.json 2.4 KB
- references/vendored/dsl/INTERPRETER.md 48 KB
- references/vendored/README.md 1.2 KB
- scripts/anthropic_model_recommendation.py 28 KB runs code
- scripts/build_diagram.py 21 KB runs code
- scripts/model_recommendation.py 7.7 KB runs code
- scripts/openai_model_recommendation.py 41 KB runs code
- scripts/pyproject.toml 170 B
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.
- 3d ago First seen · 189 lines · 560 tokens per session scan A b93a50d71c2d
agent-advisor is a skill published in the GitHub repository awslabs/startups (16 stars, last pushed yesterday), licensed Apache-2.0. It adds 560 tokens to every session and 3,750 once invoked, about $0.0028 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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