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/skyfox675/agents-skillsWrote 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/commands/skyfox675/agents-skills/gh-issue-use-aws)<a href="https://agentmods.dev/commands/skyfox675/agents-skills/gh-issue-use-aws"><img src="https://agentmods.dev/badge/commands/skyfox675/agents-skills/gh-issue-use-aws/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/commands/skyfox675/agents-skills/gh-issue-use-aws"><img src="https://agentmods.dev/badge/commands/skyfox675/agents-skills/gh-issue-use-aws.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 | $0.00080 | $0.01145 |
| Opus 5 | $0.00040 | $0.00573 |
| Sonnet 5 | $0.00016 | $0.00229 |
| Haiku 4.5 | $0.00008 | $0.00114 |
Grade A, and why
gh-issue-use-aws 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 9d 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/gh-issue-use-aws — file a groomed GitHub issue with an AWS-traced diagnosis
Arguments: $ARGUMENTS — parsed exactly like /gh-issue (see gh-issue.md in this commands directory): breadcrumb first, optional model:/effort: tokens anywhere, the rest is the description. The filing flow — codebase recon, duplicate check, groomed anatomy, labels, report — is /gh-issue's, unchanged. This command adds one phase: an AWS deep-dive between recon and drafting, run against the operator's current AWS CLI session. (Tracking work in Jira instead? Use /jira-issue-use-aws.)
The AWS deep-dive
The point: many symptoms ("the tile shows zero", "downloads 403", "the pipeline never finishes") can't be root-caused from code alone — the answer lives in CloudWatch logs, resource configuration, IAM, or event history. An issue that ships with the cloud-traced root cause ("the Lambda's env var is missing on the deployed function — ARN ..., confirmed via get-function-configuration") is dispatchable without the implementer re-deriving the diagnosis with their own (possibly absent) AWS access.
Ground rules — read-only means read-only
- Identity first. Run
aws sts get-caller-identityand note account + assumed role; state the account/region every finding came from. If the session's account doesn't plausibly match the environment the operator described, say so and stop the deep-dive — evidence from the wrong account is worse than none. - Allowed operations:
get-*,describe-*,list-*,lookup-events(CloudTrail),filter-log-events/tail(CloudWatch Logs), and the Logs Insights pairstart-query/get-query-results(sanctioned despite thestart-prefix — it reads, it doesn't change state; keep queries time-bounded, scanning costs money). - Forbidden, no exceptions: anything that creates, updates, deletes, puts, attaches, modifies, tags, invokes, starts (other than
start-query), stops, reboots, or terminates.lambda invokecounts as forbidden — executing code is not reading state. - Secrets stay sealed. Diagnose with metadata (
describe-secret, parameter descriptions, key existence) — neverget-secret-valueorget-parameter --with-decryption. If a diagnosis genuinely hinges on a secret's value, report that to the operator as an operator-action item instead of reading it. - Use the session as-is. No
--profileswitching unless the operator named one. The session's permissions are the boundary — an AccessDenied is a finding ("diagnosis needs X permission"), not an obstacle to work around. - Only
sts get-caller-identity, log reads, and CloudTrail lookups are pre-approved above; other read calls will prompt per the project's permission settings. Adopting projects that use this command often should allowlist their common read patterns in.claude/settings.jsonrather than blanket-grantingaws:*— the narrow grant is what keeps "read-only" enforceable.
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.
- 9d ago First seen · 35 lines · 80 tokens per session scan A b29d92a5e554
gh-issue-use-aws is a command published in the GitHub repository skyfox675/agents-skills (10 stars, last pushed 9d ago), licensed MIT. It adds 80 tokens to every session and 1,145 once invoked, about $0.0004 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 2026-08-31.
Other commands, from other repositories
System Status
Check overall system health and status.
investigate
Start a deep root-cause investigation on the AWS DevOps Agent and stream progress.
cloudflare-queues:troubleshoot
Quick troubleshooting for common Cloudflare Queues issues.
cloudflare-workers:debug
Interactive debugging workflow for Cloudflare Workers. Diagnoses deployment errors, runtime issues, and performance problems with step-by-step fixes.
cloudflare-workflows:debug
Interactive debugging for failing workflow instances. Use when user reports workflow errors, instances stuck, or deployment failures.
cluster-health-check
Perform comprehensive health check on HCP cluster and report issues.