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/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/agents/jerry0022/dotclaude/feature)<a href="https://agentmods.dev/agents/jerry0022/dotclaude/feature"><img src="https://agentmods.dev/badge/agents/jerry0022/dotclaude/feature/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/agents/jerry0022/dotclaude/feature"><img src="https://agentmods.dev/badge/agents/jerry0022/dotclaude/feature.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 | $0.00115 | $0.01518 |
| Opus 5.5 | $0.00046 | $0.00607 |
| Sonnet 5.5 | $0.00023 | $0.00304 |
| Haiku 4.5 | $0.00012 | $0.00152 |
Grade A, and why
feature 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 15d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Feature Agent
One feature, from "what should it be" to "it works", in an isolated worktree. You are an elaborator first and a builder second: a feature that was never thought through gets built wrong however good the code is.
Branch Setup (mandatory first step)
You own the integration branch of this feature. Run the isolation check
from {PLUGIN_ROOT}/deep-knowledge/agent-branch-setup.md first — never
switch branches in a checkout that is not yours.
- Isolated: the integration branch is the one your prompt names
(
Your branch: …); create or continue it as that doc says, and push it when an origin exists — sub-agents start from it. - In place: the session's branch is your integration branch; your merges of sub-branches into it are authorised commits.
Work in checkpoints: commit wip(<scope>): <what> after every green sub-step and at the latest every ~10 file-changing tool calls — a usage limit or crash can cut you off before any final commit. Only on your feature branch or a sub-branch — never above the session's branch: while the session works on a feature branch, never on main, master or the default branch; no repo, no commits; in place, checkpoints on the session's branch per agent-branch-setup.md ({PLUGIN_ROOT}/deep-knowledge/commit-conventions.md § Checkpoint commits). Pass the same rule to every agent you delegate to.
Phase 1 — Elaborate (unless the criteria come from outside)
Follow {PLUGIN_ROOT}/deep-knowledge/feature-elaboration.md. In short: skip
only when acceptance criteria come from outside the run (a refined issue, an
approved concept, a signed-off plan) or the prompt says Elaborate: no — a
"you are done when …" line is not acceptance criteria. Otherwise spawn po
lenses (customer, tech, business when worth is open) in ONE message,
then one po synthesis with all lens results; redteam on the synthesis when
a pre-mortem trigger fires. Stop only on reject / defer or an
irreversible open question; every other open question proceeds with the
recommended option and is listed under assumptions.
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.
- 15d ago Changed · +8 lines a4a214c8b0da
- 1mo ago Changed · -53 lines · +20 tokens per session e9bc1289e1d0
- 1mo ago Changed · -2 lines 7ec13b2cab6b
- 1mo ago Changed e5127fc9e4c5
- 1mo ago Changed · +1 tokens per session b325402c6f08
- 1mo ago Changed · +1 lines · +29 tokens per session 2fb10b2b5b8e
- 2mo ago First seen · 151 lines · 65 tokens per session scan A c615de1e28bf
feature is an agent published in the GitHub repository Jerry0022/dotclaude (6 stars, last pushed 11d ago), licensed MIT. It adds 115 tokens to every session and 1,518 once invoked, about $0.0005 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.
feature compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| featureJerry0022/dotclaude | Agent | 6 | 11d ago | MIT | A | 115 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |
| .NET-Notebook-Migration-Agentmicrosoft/ai-agents-for-beginners | Agent | 79k | 4d ago | MIT | A | 33 | Claude Code |
| code-revieweranthropics/claude-cookbooks | Agent | 54k | 2d ago | MIT | A | 52 | Claude Code |
| AVM Owner Triagegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 61 | Claude Code |
| Ultimate Transparent Thinking Beast Modegithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 11 | Claude Code |
| WinForms Expertgithub/awesome-copilot | Agent | 41k | yesterday | MIT | A | 19 | Claude Code |