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/YousefNabil-SOC/claude-apexWrote 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/commands/yousefnabil-soc/claude-apex/autoresearch)<a href="https://agentmods.dev/commands/yousefnabil-soc/claude-apex/autoresearch"><img src="https://agentmods.dev/badge/commands/yousefnabil-soc/claude-apex/autoresearch/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/commands/yousefnabil-soc/claude-apex/autoresearch"><img src="https://agentmods.dev/badge/commands/yousefnabil-soc/claude-apex/autoresearch.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 | $0.00029 | $0.00452 |
| Opus 5 | $0.00015 | $0.00226 |
| Sonnet 5 | $0.00006 | $0.00090 |
| Haiku 4.5 | $0.00003 | $0.00045 |
Grade A, and why
autoresearch 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 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.
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.
This is a copy
100% identical to autoresearch — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
EXECUTE IMMEDIATELY — do not deliberate, do not ask clarifying questions before reading the protocol.
Argument Parsing (do this FIRST, before reading any files)
Extract these from $ARGUMENTS — the user may provide extensive context alongside config. Ignore prose and extract ONLY structured fields:
Goal:— text after "Goal:" keywordScope:or--scope <glob>— file globs after "Scope:" keywordMetric:— text after "Metric:" keywordVerify:— shell command after "Verify:" keywordGuard:— shell command after "Guard:" keyword (optional)Iterations:or--iterations— integer N for bounded mode (CRITICAL: if set, you MUST run exactly N iterations then stop)
If Iterations: N or --iterations N is found, set max_iterations = N. Track current_iteration starting at 0. After iteration N, print final summary and STOP.
Execution
- Read the autonomous loop protocol:
.claude/skills/autoresearch/references/autonomous-loop-protocol.md - Read the results logging format:
.claude/skills/autoresearch/references/results-logging.md - If Goal, Scope, Metric, and Verify are all extracted — proceed directly to loop setup
- If any critical field is missing — use
AskUserQuestionwith batched questions as defined in SKILL.md "Interactive Setup" section - Execute the autonomous loop: Modify → Verify → Keep/Discard → Repeat
- If bounded: after each iteration, check
current_iteration < max_iterations. If not, STOP and print summary.
IMPORTANT: Start executing immediately. Stream all output live — never run in background. Never stop early unless goal achieved or max_iterations reached.
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 · 32 lines · 29 tokens per session scan A 9b8a2557d5a8
autoresearch is a command published in the GitHub repository YousefNabil-SOC/claude-apex (2 stars, last pushed 3mo ago), licensed MIT. It adds 29 tokens to every session and 452 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to autoresearch, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
context-stats
Display context window usage and token statistics.
security-scan
Run security audit on codebase.
test-suite
Run comprehensive test suite with coverage analysis.
assemble-team
Assemble a pre-built agent team for parallel work - review, feature, debug, cross-platform, full-stack, or research.
run
Execute prompt(s) from ./prompts/ with automatic archiving - for structured prompt-based work.
standardize-claude-md
Add missing toolkit sections (Related Global Rules, Quick Start) to existing CLAUDE.md.