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/lestrrat-ai/claude-code-plugins/address-followupsnpx skills add lestrrat-ai/claude-code-plugins --skill address-followupsgit clone --depth 1 https://github.com/lestrrat-ai/claude-code-pluginsWrote 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/lestrrat-ai/claude-code-plugins/address-followups)<a href="https://agentmods.dev/skills/lestrrat-ai/claude-code-plugins/address-followups"><img src="https://agentmods.dev/badge/skills/lestrrat-ai/claude-code-plugins/address-followups.svg" alt="Measured on agentmods" 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 | $0.00152 | $0.07270 |
| Opus 5 | $0.00076 | $0.03635 |
| Sonnet 5 | $0.00030 | $0.01454 |
| Haiku 4.5 | $0.00015 | $0.00727 |
Grade A, and why
address-followups 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 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.
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 — 432 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Work Follow-ups
Invocation: Claude Code /gauntlet:address-followups; Codex $gauntlet:address-followups.
This skill is the TRIGGER. It is not the rules.
../campaign/references/followups.md owns the follow-up lifecycle, the three-tier autonomy threshold,
the resume-by-state list, and every store transition. Read it before touching an entry, and read it
from <skill-dir>/../campaign/references/followups.md, not from memory. This skill is the on-demand
entry point to that loop: it works the queue when the user asks for it, rather than only when a
campaign heartbeat has spare capacity to spend on it. An invocation from here holds no lease and drives
no run, so two of that loop's steps cannot mean from here what they mean to a run's driver;
followups.md, "WORKING A FOLLOW-UP", names both deviations, and Steps 2 and 7 below are where this
file carries them.
NEVER reconstruct the threshold, the conditions, or the legal transitions from this file. It owns only what it says here: which entries get picked up, in what order, which worker runs each step, and what happens to the PRs at the end. Everything else is a pointer, deliberately.
Runtime adapter
<checkout>is an input this skill receives, never a constant it knows. It is the checkout the user named with the invocation, and the repository the session is already running in when they named none — the same convention the sibling skills state (../followups/SKILL.mdand../ledger/SKILL.md, step 1 of each). Neither host supplies it in an environment variable, so NEVER read one for it. Step 0 resolves it to an absolute repository root once, and that one absolute result is what every later<repo-root>, every path derived from it, and every subagent prompt carries. No worker re-resolves it, and none is handed a relative path or left to infer one from its own working directory.- Every
ghcall made under this skill NAMES the repository it is about — the driver's own calls and those of the subagents it dispatches alike.ghgiven no repository resolves in whatever checkout the process is standing in, which need not be<checkout>—../campaign/references/ci-derivation-spec.md, "--repoIS NOT OPTIONAL", owns that rule and campaign's own call sites obey it (../campaign/references/pr-adoption.mdpins the working directory;../campaign/scripts/label-mirror.pypasses--repo). Step 0 resolves the repository's<owner>/<name>once, as<repo-slug>, and everyghinvocation this file tells an agent to run carries--repo <repo-slug>— this rule covers aghcall added here later exactly as it covers the ones written today. A subagent stands in its own working directory and cannot resolve the slug for itself, so<repo-slug>travels as data in the prompt of every worker this skill dispatches (Steps 3 and 5), and each of those prompts is bound by this rule for whateverghcalls that worker's job requires. The single exception is Step 0's own resolving call, which cannot name what it is resolving and is pinned by its working directory instead. - Resolve
<skill-dir>from the actual path of this activeSKILL.md. NEVER depend onCLAUDE_PLUGIN_ROOT,PLUGIN_ROOT, the current working directory, or a repository-relative path. - Campaign's bundled scripts are
<skill-dir>/../campaign/scripts/; its references are<skill-dir>/../campaign/references/. Resolve both to absolute paths and pass those absolute paths to every subagent. - Run every bundled script through its interpreter with that absolute path —
python3 <abs-path>/followups.py …. NEVER invoke one bare (../campaign/SKILL.md, "Bundled Scripts", owns the rule and why). - "Subagent" means a fresh, context-isolated worker launched through the active host's agent mechanism. Describe each worker's scope, permissions, and output in its prompt; do not require a host-specific agent type or model name.
- Logical model classes map to the active host through
../campaign/references/runtime-adapter.md, "Model classes". - If the host has no fresh-worker mechanism, STOP and report that. Do not investigate inline and do
not fix inline. Keeping those two steps out of the driver's context, and out of each other's, is the
whole guarantee (
followups.md, "The two subagents are the load-bearing part"); running either in the driver's context removes it.
What ships with it
1 file 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.
- 5d ago First seen · 432 lines · 152 tokens per session scan A 87c4225565c4
address-followups is a skill published in the GitHub repository lestrrat-ai/claude-code-plugins (18 stars, last pushed yesterday), licensed MIT. It adds 152 tokens to every session and 7,270 once invoked, about $0.0008 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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