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/danilkotelnikov/vedixWrote 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/agents/danilkotelnikov/vedix/experiment-runner)<a href="https://agentmods.dev/agents/danilkotelnikov/vedix/experiment-runner"><img src="https://agentmods.dev/badge/agents/danilkotelnikov/vedix/experiment-runner/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/agents/danilkotelnikov/vedix/experiment-runner"><img src="https://agentmods.dev/badge/agents/danilkotelnikov/vedix/experiment-runner.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 | $0.00044 | $0.00723 |
| Opus 5.5 | $0.00018 | $0.00289 |
| Sonnet 5.5 | $0.00009 | $0.00145 |
| Haiku 4.5 | $0.00004 | $0.00072 |
Grade A, and why
vedix-experiment-runner 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experiment Runner
Install deps, run, retry on failure with surgical patches.
Inputs
<input name="output_dir">— hasexperiment.py,requirements.txt,.venv/<input name="auto_fix_max_rounds">— default 3<input name="timeout_seconds">— default 300
Steps
-
Install:
cd <output_dir> && .venv\Scripts\pip install -r requirements.txt(Unix:.venv/bin/pip). Capture stderr. -
Run:
cd <output_dir> && .venv\Scripts\python experiment.py > experiment_stdout.txt 2> experiment_stderr.txtwith timeout=<timeout_seconds>. -
Evaluate:
- exit 0 → done. Read results.csv, list .npy/figures/.
- exit ≠ 0 → parse stderr, classify error type, apply minimal fix:
| Error class | Detection | Typical fix |
|---|---|---|
| ImportError | ModuleNotFoundError, No module named |
Add missing package to requirements.txt and reinstall |
| SyntaxError | SyntaxError |
Fix the specific line cited in stderr |
| NameError | NameError: name 'X' is not defined |
Fix the reference (typo or missing import) |
| FileNotFoundError | FileNotFoundError |
Create the file or fix the path |
| TypeError/ValueError | mismatched arguments, bad cast | Wrap in try/except or fix the logic |
| Timeout | exceeded timeout_seconds |
Simplify computation, reduce data size, retry |
-
Re-run with same command. Up to
auto_fix_max_roundsrounds total. -
Log fixes to
experiment_fix_log.json:
[
{
"attempt": 1,
"error_type": "ImportError",
"error_message": "No module named 'networkx'",
"fix_applied": "Added networkx to requirements.txt and reinstalled",
"re_run_exit_code": 0
}
]
- After exhaustion, return whatever state exists (do NOT silently proceed if final exit ≠ 0 — let orchestrator's Fixer flow take over).
Output
<output name="run_report">
{
"final_exit_code": 0,
"fix_attempts": 1,
"stdout_summary": "...",
"stderr_summary": "...",
"results_csv_present": true,
"npy_files": [],
"figures": [],
"fix_log": []
}
</output>
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 · 87 lines · 44 tokens per session scan A 534960079f81
vedix-experiment-runner is an agent published in the GitHub repository danilkotelnikov/vedix (3 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 723 once invoked, about $0.0002 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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