Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
Wrote 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/nativ3ai/hermes-agent-camel/python-debugpy)<a href="https://agentmods.dev/skills/nativ3ai/hermes-agent-camel/python-debugpy"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/python-debugpy/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/nativ3ai/hermes-agent-camel/python-debugpy"><img src="https://agentmods.dev/badge/skills/nativ3ai/hermes-agent-camel/python-debugpy.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 | $0.00017 | $0.03626 |
| Opus 5.5 | $0.00007 | $0.01450 |
| Sonnet 5.5 | $0.00003 | $0.00725 |
| Haiku 4.5 | $0.00002 | $0.00363 |
Grade B, and why
python-debugpy scanned grade B 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
echo 0 | sudo tee /proc/sys/kernel/yama/ptrace_scope This is a copy
95% identical to python-debugpy — 23 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 375 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Debugger (pdb + debugpy)
Overview
Three tools, picked by situation:
| Tool | When |
|---|---|
breakpoint() + pdb |
Local, interactive, simplest. Add breakpoint() in the source, run normally, get a REPL at that line. |
python -m pdb |
Launch an existing script under pdb with no source edits. Useful for quick poking. |
debugpy |
Remote / headless / "attach to already-running process." Talks DAP, scriptable from terminal, works for long-lived processes (gateway, daemon, PTY children). |
Start with breakpoint(). It's the cheapest thing that works.
When to Use
- A test fails and the traceback doesn't reveal why a value is wrong
- You need to step through a function and watch a collection mutate
- A long-running process (hermes gateway, tui_gateway) misbehaves and you can't restart it
- Post-mortem: an exception fired in prod-ish code and you want to inspect locals at the crash site
- A subprocess / child (Python
_SlashWorker, PTY bridge worker) is the actual bug site
Don't use for: things print() / logging.debug solve in under a minute, or things pytest -vv --tb=long --showlocals already reveals.
pdb Quick Reference
Inside any pdb prompt ((Pdb)):
| Command | Action |
|---|---|
h / h cmd |
help |
n |
next line (step over) |
s |
step into |
r |
return from current function |
c |
continue |
unt N |
continue until line N |
j N |
jump to line N (same function only) |
l / ll |
list source around current line / full function |
w |
where (stack trace) |
u / d |
move up / down in the stack |
a |
print args of the current function |
p expr / pp expr |
print / pretty-print expression |
display expr |
auto-print expr on every stop |
b file:line |
set breakpoint |
b func |
break on function entry |
b file:line, cond |
conditional breakpoint |
cl N |
clear breakpoint N |
tbreak file:line |
one-shot breakpoint |
!stmt |
execute arbitrary Python (assignments included) |
interact |
drop into full Python REPL in current scope (Ctrl+D to exit) |
q |
quit |
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 · 375 lines · 17 tokens per session scan B 338c7f94a562
python-debugpy is a skill published in the GitHub repository nativ3ai/hermes-agent-camel (193 stars, last pushed 5mo ago), licensed MIT. It adds 17 tokens to every session and 3,626 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). It is 95% identical to python-debugpy, differing in 23 lines, and is treated as a copy.
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