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 Jerry0022/dotclaude --skill auto-hardengit clone --depth 1 https://github.com/Jerry0022/dotclaudeWrote 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/jerry0022/dotclaude/auto-harden)<a href="https://agentmods.dev/skills/jerry0022/dotclaude/auto-harden"><img src="https://agentmods.dev/badge/skills/jerry0022/dotclaude/auto-harden/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/jerry0022/dotclaude/auto-harden"><img src="https://agentmods.dev/badge/skills/jerry0022/dotclaude/auto-harden.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 | $0.00186 | $0.05614 |
| Opus 5.5 | $0.00074 | $0.02246 |
| Sonnet 5.5 | $0.00037 | $0.01123 |
| Haiku 4.5 | $0.00019 | $0.00561 |
Grade A, and why
auto-harden 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 11d 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 — 412 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tune Harden — Stabilization Pass
Harden the codebase: tests, bugs, architecture, and consistency — without
restructuring the UI. Scope: $ARGUMENTS.
Invocation Context
Callers sit ABOVE this skill in the call graph (layer 4 — spec
docs/superpowers/specs/2026-09-24-skill-restructure-design.md § Call graph):
the user, /do-run and /do-ship. /auto-agents (layer 5) never calls it —
it is the layer this skill executes through. Four ways in:
- Direct — user asks for it (trigger phrase; the skill is hidden from the slash menu). Full skill
runs as documented below. Asks questions when
$AUTONOMOUS=0. - From
/do-run(after every implementation — no longer a question) —--invoked-by=do-run, a full pass scoped to the run's changes, executed through auto-agents (§ Execution). Under "Autonom" do-run adds--autonomous; under "Strikt" it adds--strict. The pre-PR-2 values--invoked-by=agentsand--invoked-by=autonomous(the latter implies--autonomous) are read asdo-run. - From
/do-ship—--invoked-by=ship --base=<base> [--cwd=<path>] <files of the diff>. The ship path: static checks on the diff's added lines, mechanical fixes only, no agents, no browser, no card. See § Ship path. - Under strict —
--strict(from do-run "Strikt" or /do-ship in strict mode): see Step 1 and Rules. On the ship path it means report-only.
When --invoked-by=do-run is set, the skill adjusts:
- No qa-agent re-spawn if the parent already runs a qa wave/agent. Rely on the parent's qa result, request a focused re-test only after fixes.
- No redteam re-spawn if the parent has a redteam wave planned. Skip Step 9 redteam, flag for parent's wave instead.
- No permission priming assumed — parent handled it.
- AskUserQuestion suppressed under
--autonomous; otherwise the user is present ("Interaktiv") and plan + confirm stays as documented.
Execution — through auto-agents
The fixes of a full pass (Steps 5–8) run through /auto-agents, the single
execution path: Skill("auto-agents", "--from=auto-harden --mode=<m> <fix list>")
with --mode=background under --autonomous, else --mode=interactive.
Read its result block (tier, done, open, needs-decision, ship) and
ignore ship — this skill never ships; its caller does. open and
needs-decision items feed Step 10. Inline shortcut: when your own tier
check lands on Inline (one domain, ≤ ~5 files), apply the fixes yourself
without loading auto-agents. The read-only helpers (scout scans, the qa and
redteam reviewers, code-simplifier) stay direct Agent spawns — they
implement nothing. The ship path never loads auto-agents.
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.
- 11d ago Changed de8ad0759a48
- 16d ago Changed · -6 lines 0a87eab292e5
- 1mo ago Changed · -27 lines 8eeecc6350f6
- 1mo ago Changed · +5 lines a59d1ddfb7db
- 1mo ago Changed 50880c0cefaf
- 1mo ago First seen · 440 lines · 186 tokens per session scan A ee8164e0f6e5
auto-harden is a skill published in the GitHub repository Jerry0022/dotclaude (6 stars, last pushed 11d ago), licensed MIT. It adds 186 tokens to every session and 5,614 once invoked, about $0.0007 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 2026-09-24.
auto-harden compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| auto-hardenJerry0022/dotclaude | Skill | 6 | 11d ago | MIT | A | 186 | Claude Code |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | yesterday | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | 3d ago | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | yesterday | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | yesterday | Apache-2.0 | A | 15 | Claude Code, Codex |
| incident-response-incident-responsermyndharis/antigravity-skills | Skill | 1.9k | 23d ago | MIT | A | 36 | Claude Code |
| triaging-web-analytics-supportPostHog/posthog | Skill | 41k | yesterday | none | A | 151 | Claude Code, Codex |