Borrowing it
Nothing to install: this file belongs to botzrDev/dreamd. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/botzrDev/dreamd/main/.claude/skills/alpha-test/SKILL.mdgit clone --depth 1 https://github.com/botzrDev/dreamdWrote 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/botzrdev/dreamd/alpha-test)<a href="https://agentmods.dev/skills/botzrdev/dreamd/alpha-test"><img src="https://agentmods.dev/badge/skills/botzrdev/dreamd/alpha-test/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/botzrdev/dreamd/alpha-test"><img src="https://agentmods.dev/badge/skills/botzrdev/dreamd/alpha-test.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 | $0.00108 | $0.02094 |
| Opus 5.5 | $0.00043 | $0.00838 |
| Sonnet 5.5 | $0.00022 | $0.00419 |
| Haiku 4.5 | $0.00011 | $0.00209 |
Grade C, and why
alpha-test scanned grade C with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Recursive force deletehighDestructive command
rm -rf with a variable or a broad path is one typo away from removing the wrong tree.
`rm -rf "$SANDBOX"` in the `cleanup()` trap, re-run, then read How it starts
The opening of the file, as written. The whole thing — 125 lines — stays where its author put it; the contents beside it link to each section on GitHub.
dreamd alpha test
Two automated suites live at scripts/alpha/:
- Plumbing (
alpha-suite.sh) — proves a learning appended by one harness is recalled by an independent second harness, on both the daemon path (Phase 2) and the no-daemon JSONL-replay path (Phase 1). Uses lexically-unique payloads, so it proves recall happens but says nothing about whether it's good. - Quality (
quality-suite.sh+ optionalquality_judge.py) — proves the memory is actually good through the MCP boundary: salience-weighted ranking, attribution, and dream-cycle promotion (deterministic gate), plus a fuzzy natural-language relevance report (LLM judge). See Quality suite below.
Both are the code-path proof only; the real GUI round-trip (actual Cursor / Claude Code MCP clients + screenshot) is the manual DEMO-4 runbook, out of scope.
Run
cargo build -p dreamd # both suites run target/debug/dreamd
scripts/alpha/alpha-suite.sh # plumbing — pass = "7 passed, 0 failed"
scripts/alpha/quality-suite.sh # quality golden gate — pass = "14 passed, 0 failed"
scripts/alpha/quality_judge.py # optional LLM-judge relevance report (needs an API key)
Pass = exit 0 and 7 passed, 0 failed. Needs python3 and git on PATH.
The suite redirects HOME=$(mktemp -d), so your real ~/.agent daemon,
registry, and memory are never touched — it kills the daemon and deletes the
sandbox on exit.
The 7 checks (in order)
- Phase 2 (daemon up): (1) daemon binds its socket; (2) a
claude-codeappend mints anevt_…id; (3) a separatecursorprocess recalls that write (polls ~18s for the daemon's ~5s index-commit cadence). - Boundary: (4) socket is gone after the daemon is killed.
- Phase 1 (no daemon): (5) a
cursorappend mints anevt_…id; (6) a fresh process replays the JSONL and recalls it; (7) that replay also recalls the earlier Phase-2 write.
Diagnosing a failure
The sandbox is deleted on exit. To inspect logs, temporarily comment out
rm -rf "$SANDBOX" in the cleanup() trap, re-run, then read
$SANDBOX/daemon.log (the script prints the sandbox path on the first line).
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.
- 1mo ago First seen · 125 lines · 108 tokens per session scan C f03ceda87463
alpha-test is a skill published in the GitHub repository botzrDev/dreamd (6 stars, last pushed yesterday), licensed Apache-2.0. It adds 108 tokens to every session and 2,094 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it C with 1 finding (recursive force delete). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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