Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Goodsmileduck/claude-registrynpx agentmods add skills/goodsmileduck/claude-registry/terragrunt-workflowsWrote 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/goodsmileduck/claude-registry/terragrunt-workflows)<a href="https://agentmods.dev/skills/goodsmileduck/claude-registry/terragrunt-workflows"><img src="https://agentmods.dev/badge/skills/goodsmileduck/claude-registry/terragrunt-workflows/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/goodsmileduck/claude-registry/terragrunt-workflows"><img src="https://agentmods.dev/badge/skills/goodsmileduck/claude-registry/terragrunt-workflows.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 | $0.00145 | $0.04094 |
| Opus 5 | $0.00072 | $0.02047 |
| Sonnet 5 | $0.00029 | $0.00819 |
| Haiku 4.5 | $0.00015 | $0.00409 |
Grade B, and why
terragrunt-workflows scanned grade B with 2 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 10d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
execute = ["bash", "-c", "curl -X POST $SLACK_WEBHOOK -d '{\"text\":\"apply failed\"}'"] Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
execute = ["bash", "-c", "curl -X POST $SLACK_WEBHOOK -d '{\"text\":\"apply failed\"}'"] How it starts
The opening of the file, as written. The whole thing — 350 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Terragrunt Workflows
Terragrunt-specific orchestration. Pairs with the terraform-workflows skill — its cross-cutting rules apply on top of this skill's. See Cross-skill notes for the exact boundary.
When to invoke
Symptoms:
- A command that worked last quarter now warns or fails:
--terragrunt-*flag deprecated,run-alldeprecated, "unknown command" for what used to beterragrunt plan. - An
includeblock isn't producing the merged config you expected. - A child unit's
inputsmap seems to keep parent keys you tried to drop. - A
dependencyblock'smock_outputsproduces values the actual upstream never emits. terragrunt run --all applyis on the table for a production rollout.- A
terragrunt.stack.hclfile is in the repo and you need to know how it generates units. - Hooks (
before_hook,after_hook,error_hook) fire at the wrong moment or silently swallow errors.
Cross-cutting rules
These layer on top of terraform-workflows cross-cutting rules. Plan-then-apply, never bump pins in passing, never -auto-approve on shared state — all of those still apply.
- Treat the CLI redesign as the default. Even if a repo still uses
run-alland--terragrunt-*flags, write new code in the new form (run --all,--<flag>,TG_*env vars). SetTG_STRICT_CONTROL=cli-redesignlocally so you can't accidentally regress. run --all <mutation>requires a plan-aggregation step. It does NOT produce a unified plan. Without aggregation, blast radius is invisible until mid-pipeline. See run --all safety.- Never edit a generated file. Files inside
.terragrunt-cache/and.terragrunt-stack/are derived. Editing them produces drift that vanishes on the next run. - Hooks run on every invocation. A
before_hookwithcommands = ["plan", "apply"]runs both duringplanandapply. If a hook performs auth refresh or state pre-fetch, it costs that work twice on a plan→apply cycle. Scope hooks tightly. mock_outputsare placeholders for plan-time, not stand-ins for unapplied state. If a plan contains a recognizable mock literal where you'd expect a real ID, the upstream dependency hasn't been applied. Apply it; do not adjust the mock to match reality.
What ships with it
3 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.
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.
- 10d ago First seen · 350 lines · 145 tokens per session scan B 0a4fbad17593
terragrunt-workflows is a skill published in the GitHub repository Goodsmileduck/claude-registry (1 stars, last pushed 1mo ago), licensed MIT. It adds 145 tokens to every session and 4,094 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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