Borrowing it
Nothing to install: this file belongs to vishnu2kmohan/mcp-server-langgraph. 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/vishnu2kmohan/mcp-server-langgraph/main/.claude/commands/test-status.mdgit clone --depth 1 https://github.com/vishnu2kmohan/mcp-server-langgraphWrote 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/vishnu2kmohan/mcp-server-langgraph/test-status)<a href="https://agentmods.dev/commands/vishnu2kmohan/mcp-server-langgraph/test-status"><img src="https://agentmods.dev/badge/commands/vishnu2kmohan/mcp-server-langgraph/test-status/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/vishnu2kmohan/mcp-server-langgraph/test-status"><img src="https://agentmods.dev/badge/commands/vishnu2kmohan/mcp-server-langgraph/test-status.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 | $0.00016 | $0.01452 |
| Opus 5.5 | $0.00006 | $0.00581 |
| Sonnet 5.5 | $0.00003 | $0.00290 |
| Haiku 4.5 | $0.00002 | $0.00145 |
Grade A, and why
test-status 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 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.
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 — 275 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quick Test Status Check
Usage: /test-status or /test-status <marker>
Markers: Any pytest marker (e.g., unit, integration, api, security)
🎯 Purpose
Provides a fast, lightweight status check of tests without running comprehensive analysis.
Use this for:
- Quick validation during development
- Rapid feedback after code changes
- Fast status checks before commits
For comprehensive analysis, use /test-summary instead.
⚡ Quick Status Check
Step 1: Determine Scope
Based on $ARGUMENTS, determine which tests to check:
Default (all tests):
pytest -v --tb=line --no-cov -q
Specific marker (e.g., /test-status unit):
pytest -m $ARGUMENTS -v --tb=line --no-cov -q
Options used for speed:
--no-cov- Skip coverage (faster)-q- Quiet mode (less output)--tb=line- Minimal traceback (faster display)-x- Stop on first failure (optional, for even faster feedback)
Step 2: Run Fast Test Check
Execute tests with minimal overhead:
# Run tests without coverage
pytest -v --tb=line --no-cov -q 2>&1 | tee /tmp/test_status.txt
# Capture exit code
TEST_EXIT=$?
Capture:
- Total tests run
- Pass/fail count
- First failure (if any)
- Total duration
Step 3: Parse Results
Extract key metrics from output:
# Parse pytest output for summary line
# Example: "437 passed in 12.34s"
# Example: "425 passed, 12 failed in 23.45s"
SUMMARY=$(tail -n 5 /tmp/test_status.txt | grep -E "passed|failed|skipped")
Step 4: Display Quick Status
Show concise status report:
## ⚡ Test Status
**Status**: ✅ PASSING | ❌ FAILING | ⚠️ ISSUES
**Quick Summary**:
- Passed: XXX
- Failed: XX
- Skipped: XX
- Duration: XX.Xs
**Scope**: [all|unit|integration|$MARKER]
---
[If all passing]:
✅ **All tests passing** - Ready to proceed
[If failures]:
❌ **Tests failing** - Fix before proceeding
First failure: `test_name` in `file_path.py:line`
Run `/test-summary` for detailed failure analysis.
[If skipped tests]:
⚠️ **XX tests skipped** - May need infrastructure
Run with `-v` to see skip reasons.
---
**Quick Commands**:
Run failed tests only:
```bash
pytest --lf -x # Stop on first failure
Run specific test:
pytest tests/path/test_file.py::test_name
Fast iteration:
make test-dev # Fast mode (40-70% faster)
Next Steps:
✅ All passing → Proceed with commit/deployment
❌ Failures → Run /test-summary failed for analysis
⚠️ Skipped → Check infrastructure (docker compose up)
For comprehensive analysis: /test-summary
For test debugging: /fix-issue <test-name>
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 · 275 lines · 16 tokens per session scan A e1771c01d782
test-status is a command published in the GitHub repository vishnu2kmohan/mcp-server-langgraph (4 stars, last pushed 2d ago), licensed MIT. It adds 16 tokens to every session and 1,452 once invoked, about $0.0001 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.
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