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 skills add tmj-90/gaffer --skill cloud-securitygit clone --depth 1 https://github.com/tmj-90/gafferWrote 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/skills/tmj-90/gaffer/cloud-security)<a href="https://agentmods.dev/skills/tmj-90/gaffer/cloud-security"><img src="https://agentmods.dev/badge/skills/tmj-90/gaffer/cloud-security/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/skills/tmj-90/gaffer/cloud-security"><img src="https://agentmods.dev/badge/skills/tmj-90/gaffer/cloud-security.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 | $0.00077 | $0.01968 |
| Opus 5.5 | $0.00031 | $0.00787 |
| Sonnet 5.5 | $0.00015 | $0.00394 |
| Haiku 4.5 | $0.00008 | $0.00197 |
Grade A, and why
cloud-security 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 20d 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 — 140 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Assess and harden cloud posture in code
Misconfiguration, not zero-days, is how most cloud breaches start: a public bucket, a
wildcard role, SSH open to the internet, or credentials in state. You work in a git
worktree and must not touch real cloud accounts, so the unit of work is the
infrastructure code in the repo. The host may still hold ambient credentials
(~/.aws, gcloud, kubeconfig) that Terraform or a cloud CLI would pick up silently,
which is why the commands below are limited to offline ones. Scan the IaC, walk the checklist, fix or report, and prove the fix with an
offline check. Baselines: the AWS Well-Architected Security Pillar (identity,
detection, infrastructure protection, data protection), CIS Foundations Benchmarks for
AWS, Azure and GCP, and the OWASP IaC Security and Secure Cloud Architecture Cheat
Sheets. Terraform style belongs to the terraform-patterns skill, an active cloud
compromise to the incident-response skill, and behavioural anomalies to the
threat-detection skill.
Procedure
- Scope. Find the branch base: run
git merge-base HEAD origin/HEAD(or<default_branch>) and paste the printed SHA as$BASE(the safety hook blocks$(…)). List the infrastructure files the ticket touches:git diff --name-only "$BASE"...HEAD -- '*.tf' '*.tfvars' '*.hcl' '*.yaml' '*.yml' '*.json' '*.bicep'. For an assessment ticket, list all IaC withgit ls-files. Callsearch_lorefor approved exceptions, compliance targets (SOC 2, PCI DSS, HIPAA) and the account or landing-zone baseline. - Run whatever offline scanners already exist. Never install one.
terraform fmt -check -recursive. Runterraform validateonly in a root module that is already initialised (.terraform/exists and.gitignorecovers it). Never runterraform init: it downloads providers and modules (remote module sources use the host's ambient credentials) and rewrites.terraform.lock.hcl. If validate cannot run, say so in evidence.checkov -d <dir> --compact --quiet.trivy config <dir>. Trivy replaces tfsec; use tfsec only if the repo still pins it.kics scan -p <dir>.conftest testif the repo has OPA or Rego policies.terraform testonly in an already-initialised module whose test files mock every provider (mock_provider): an unmocked run calls the cloud, and the defaultcommand = applycreates real resources. Record which scanners ran. If none is available, say so; the manual checklist below then is the evidence. Never runterraform plan,applyordestroy, or any cloud CLI.
- Walk the checklist against every touched resource (next section). Write "ok" or a finding with file, line and fix.
- Fix in code, the least-privilege way. Replace a wildcard with the specific
actions and ARNs. Add the missing block rather than suppressing the check. A
suppression (
#checkov:skip=CKV_AWS_20:reason,#trivy:ignore:…) is allowed only when the finding is a genuine documented exception, such as a public CDN origin. The reason goes inline, and you raise arequest_decisionif no exception is recorded in lore. - Prove it. Re-run the same scanners and show the finding gone. Where the repo has
mocked
terraform testor conftest, add an assertion for the fixed property, for example Block Public Access true orhttp_tokens == "required", so it cannot regress. - Classify and evidence. Use the
security-reviewskill severities.- Blocking: exploitable now, for example public data, admin ports open to the internet, a privilege-escalation path, or a plaintext secret.
- Should-fix: risk without a compensating control.
- Note: hardening.
Record scanner output and findings through the
record-evidenceskill, then stop.
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.
- 20d ago Changed · +61 lines · +9 tokens per session cc255af96434
- 1mo ago First seen · 79 lines · 68 tokens per session scan A 0db6c8907c7a
cloud-security is a skill published in the GitHub repository tmj-90/gaffer (2 stars, last pushed 20d ago), licensed Apache-2.0. It adds 77 tokens to every session and 1,968 once invoked, about $0.0003 per session on Opus 5.5. 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 skills, from other repositories
bulwark-brainstorm
Role-based brainstorming with dual modes: --scoped (sequential Task tool, 5 roles) and --exploratory (Agent Teams peer debate, 4 roles). Use for feasibility assessment and idea validation.
plan-creation
Create structured implementation plans via a 4-role scrum team (Product Owner, Architect, Eng/Delivery Lead, QA/Critic) with optional Agent Teams peer debate mode.
anthropic-validator
Validates Claude Code assets (skills, hooks, agents, commands, MCP servers, plugins) against official Anthropic standards. Fetches latest docs dynamically and produces structured validation reports.
code-review
Comprehensive code review with distinct aspect based sections. Use when reviewing code, checking for security issues, finding type safety problems, auditing code quality, or when user asks to review code, PRs or changes. Three-phase workflow runs static tools, LLM judgment, and writes diagnostic log.
create-subagent
Generates single-purpose Claude Code sub-agents for use via the Task tool. Use when creating dedicated sub-agents, scaffolding agent definitions, or generating agents with diagnostics and permissions setup.
test-audit
Audit test suites for T1-T4 violations using AST analysis, mock detection, and multi-stage synthesis. Invoke when user asks to audit tests, check test quality, find mock violations, review test effectiveness, or inspect test suites for over-mocking. Triggers automatic rewrites when quality gates fail.