status
Checks the status of an active deep research run.
Install
mkdir -p .claude/skills/status-defiect && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11547" && unzip -o skill.zip -d .claude/skills/status-defiect && rm skill.zipInstalls to .claude/skills/status-defiect
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Check the progress of the current or most recent deep research run. Shows stage, source counts, claim counts, and any issues.Key capabilities
- →Find the latest deep research run directory
- →Read run metadata and current status from run.json
- →Count entries in sources.jsonl, claims.jsonl, and evidence.jsonl
- →List notes files in the notes/ directory
- →Check for the existence and content of report.md
How it works
The skill identifies the most recent deep research run, reads its metadata and various data files, and performs a quick audit to generate a summary of the research progress.
Inputs & outputs
When to use status
- →Checking research progress
- →Verifying if a report is complete
- →Debugging a stuck research run
About this skill
Check the status of the most recent deep research run.
Instructions
- Find the latest run directory under
.deep-research/runs/(sort by directory name, most recent first). - Read
run.jsonfor the run metadata and current status. - Count entries in
sources.jsonl,claims.jsonl, andevidence.jsonl. - List any notes files in the
notes/directory. - Check if
report.mdexists and has content. - Run a quick audit:
python3 ${CLAUDE_PLUGIN_ROOT}/scripts/dr_audit.py --mode full --run-dir <run_dir>
Output
Provide a concise status summary:
- Run ID: the run identifier
- Topic: the research question
- Status: current phase (planning/scouting/analyzing/synthesizing/complete)
- Sources: count and breakdown by type
- Claims: count and breakdown by importance and status
- Evidence: edge count
- Notes: number of source notes written
- Report: exists/empty/missing
- Audit: pass/fail with failure details if any
When not to use it
- →When initiating a new deep research run
- →When the task is to modify research data or reports
- →When detailed analysis of research content is required
Limitations
- →Only checks the most recent deep research run.
- →Provides counts and existence checks, not content analysis of sources, claims, or evidence.
- →The audit provides a pass/fail status with failure details, not a complete report.
How it compares
This skill provides a structured summary of a deep research run's progress, consolidating information from multiple files and an audit script, unlike manually inspecting each file.
Compared to similar skills
status side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| status (this skill) | 0 | 6mo | No flags | Beginner |
| literature-review | 559 | 2mo | Review | Advanced |
| openalex-database | 48 | 7mo | Review | Intermediate |
| scientific-critical-thinking | 18 | 7mo | Review | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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