deepx-ai/dx-all-suite/dx-agent-verify
Claude Code and agent skill by deepx-ai/dx-all-suite
- community
Checking that the SKILL.md file is still in the repository.
DEEPX build verification checklists — dx_app, dx_stream, and cross-project.
Install
npx vskill@latest install deepx-ai/dx-all-suite/dx-agent-verifySKILL.md
Skill: DEEPX Build Verification Checklists
For the general verification gate function and completion report template,seedx-swe-verify. This skill covers DEEPX-specific verification checklists.
Scope
This is the top-level suite version covering all sub-projects. When working in a single sub-project, prefer the project-level version:
| Working on... | Use this skill | |
|---|---|---|
| dx_app (standalone inference) | dx-runtime/dx_app/.deepx/skills/dx-agent-verify/SKILL.md | |
| dx_stream (GStreamer pipelines) | dx-runtime/dx_stream/.deepx/skills/dx-agent-verify/SKILL.md | |
| Cross-project integration | dx-runtime/.deepx/skills/dx-agent-verify/SKILL.md |
Verification Checklist — dx_app Python Apps
Verification Checklist — dx_stream Pipelines
Verification Checklist — Cross-Project Integration
session.log Authenticity (HARD GATE)
For ANY scenario that produces a dx-agent-dev/<sid>/session.log, the log MUST be the tee-captured stdout of real command execution — never a heredoc template or programmatic write.
| ✓ Allowed | ✗ Prohibited | ||
|---|---|---|---|
| `python <runner>.py ... 2>&1 \ | tee session.log` | cat << 'EOF' > session.log ... EOF | |
| `bash run.sh 2>&1 \ | tee session.log` | printf "..." > session.log | |
| `dxcom <cfg> 2>&1 \ | tee compile_out.log` (compiler) | Path("session.log").write_text(...) | |
| `gst-launch-1.0 ... 2>&1 \ | tee session.log` (dx_stream) | awk ... > session.log / base64 -d ... > session.log |
Cross-project (runtime / suite) — dual session.log: Each sub-project gets its OWN session.log, each captured from its OWN command execution. Writing one sub-project's session.log from a different directory via heredoc (e.g., cat << 'EOF' > dx-runtime/dx_app/.../session.log) is a legitimate cross-project write that the analyzer recognizes (the false-positive guard checks the target path); the rule still requires real execution capture for each sub-project, not template content.
The analyzer's session_log_authentic compliance check:
- Hard-fail for
compiler/dx_app/dx_stream/dx_stream_cascaded/suite - Soft-warning only for
runtime(multi-domain scenario where a unified
top-level session.log is structurally unnatural; the underlying ExecutionTrace rubric still demands real logs in each sub-project).
Session-ID Freshness (HARD GATE)
Each agent invocation MUST produce a fresh session directory whose name starts with the current local timestamp. Reusing a previous round's session directory — even one created earlier today — is a HARD GATE violation (see AGENTS.md / CLAUDE.md: "Previous session reference PROHIBITED"). The harness now scrubs stale state-marker files between rounds AND asserts the parsed session-id timestamp falls within the current round's window. Sessions whose timestamp predates the round start by >60 s fail test_session_freshness.
Prohibited patterns (reading any of these files is forbidden — they may carry a prior round's session_id):
Required pattern — always synthesise a new session-id from scratch:
Even if a prior session-dir exists with the same model/task and looks "complete", do not re-enter it. The harness expects each round to be an independent, end-to-end re-execution; reusing prior artifacts causes:
- conftest's
_detect_new_sessionsto skip the dir (pre-existed in
snapshot) → manifest.json has no output symlink → analyzer scores Compliance 40% for that scenario.
- Round-N's session timestamp predates round-N start →
test_session_freshness
FAIL.
- Cross-round pollution: round-N's analyzer report attributes round-K's
artifacts to round-N, distorting per-round metrics.
If you find the round taking unreasonably long because compilation is slow, fix the slowness — do not "skip" by reusing a prior compile result.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryChecking.deepx/skills/dx-agent-verify/SKILL.md
Popularity
- Repository stars
- 44
- Repository forks
- 20
- 7-day trend score
- 19
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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