Prismer Cloud is an infrastructure layer for AI agents that provides shared learning, compressed context, persistent memory, collaboration, messaging, tasks, identity, and workspaces. It is for agents and the people building or using long-running agent systems that need information and outcomes to persist across sessions. The catalogue entries provide skills, hooks, agents, instructions, and a plugin for using Prismer Cloud.
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.
npx skills add Prismer-AI/PrismerCloud --skill prismer-python-debugpygit clone --depth 1 https://github.com/Prismer-AI/PrismerCloudWrote 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/prismer-ai/prismercloud/prismer-python-debugpy)<a href="https://agentmods.dev/skills/prismer-ai/prismercloud/prismer-python-debugpy"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/prismer-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/prismer-ai/prismercloud/prismer-python-debugpy"><img src="https://agentmods.dev/badge/skills/prismer-ai/prismercloud/prismer-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 | $0.00019 | $0.03601 |
| Opus 5.5 | $0.00008 | $0.01440 |
| Sonnet 5.5 | $0.00004 | $0.00720 |
| Haiku 4.5 | $0.00002 | $0.00360 |
Grade A, and why
prismer-python-debugpy 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 9d 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 — 378 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prismer execution contract
This is the uniquely named prismer-python-debugpy skill, adapted from Hermes.
Use the actual tools exposed by the executing host; examples using terminal,
process, delegate_task, vision_analyze or browser_* are not tool registrations.
Missing dependencies do not hide this skill. Report command startup, version,
account/permissions and task-specific live verification separately. Use task-owned
artifact paths and existing user authorization; do not change shared accounts,
Runtime/provider configuration, global security settings or unrelated work.
See NOTICE.md and LICENSE for resource provenance. Runtime availability and
upstream-entry suppression are owned by the integration layer.
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 ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 378 lines · 19 tokens per session scan A ba9c9ee04b4c
prismer-python-debugpy is a skill published in the GitHub repository Prismer-AI/PrismerCloud (1,554 stars, last pushed 7d ago), licensed MIT. It adds 19 tokens to every session and 3,601 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 2026-09-29.
Other skills, from other repositories
python-packaging-bug-finder
Use when you need to find known packaging bugs, fixes, and workarounds for Python projects by searching GitHub issues and analyzing their resolution status.
python-run
Run and debug Python scripts in the project. Use when the user says "run python", "execute this script", "debug this py file", or wants to run/modify a .py file. Handles dependency checks, linting, execution, and error analysis.
python-debugpy
Debug Python: pdb REPL + debugpy remote (DAP).
Audit Python dependency declarations for unused, missing, and transitive imports before release
Use Deptry when an agent needs to verify that a Python project's declared dependencies still match the imports the code actually uses. The agent scans the codebase, flags unused direct dependencies, missing declarations, and transitive imports that only work by accident, then turns the findings into cleanup commits or…
python-linting
Lint and format Python code using ruff, flake8, black, and mypy according to standard conventions. Use when asked to lint, format, or check style/type issues in Python files.
ironbee-python-devtools-cli
CLI for debugging running Python processes with non-blocking inspection via debugpy (Debug Adapter Protocol). Use when the user needs to attach to a Python process (already-listening debugpy, PID injection, process name, or Docker), set tracepoints/logpoints/exceptionpoints, capture call stacks and local variables…