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 zhurong2020/pyobfus --skill pyobfus-reviewgit clone --depth 1 https://github.com/zhurong2020/pyobfusWrote 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/zhurong2020/pyobfus/pyobfus-review)<a href="https://agentmods.dev/skills/zhurong2020/pyobfus/pyobfus-review"><img src="https://agentmods.dev/badge/skills/zhurong2020/pyobfus/pyobfus-review/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/zhurong2020/pyobfus/pyobfus-review"><img src="https://agentmods.dev/badge/skills/zhurong2020/pyobfus/pyobfus-review.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 | $0.00124 | $0.01322 |
| Opus 5.5 | $0.00050 | $0.00529 |
| Sonnet 5.5 | $0.00025 | $0.00264 |
| Haiku 4.5 | $0.00012 | $0.00132 |
Grade A, and why
pyobfus-review 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Review a Python project with pyobfus (read-only)
Your job: tell the user what protecting this project would cost them, before anyone changes a byte. You produce a judgement, not an artifact.
Boundary — read this before running anything
This skill is read-only. Within it:
- Never run an obfuscation build, not even into a temp directory.
- Never write, move, or delete project files.
--check,--dry-runand--sarifare the only pyobfus modes you use here.--sarif PATHwrites one report file, so only use it when the user asked for CI output and name the path they chose. - Never run the project's own commands (tests, entry points, install steps). Nothing in a review needs to execute the user's code.
- If the user actually wants a protected build, say so plainly and switch to the pyobfus-protect skill. Do not quietly start building.
Step 1 — scan
Prefer the MCP tool if the pyobfus-mcp server is connected:
check_obfuscation_risks(path="src")
Otherwise use the CLI (pip install pyobfus):
pyobfus --check src/ --json
Both return the same shape: severity_counts, per-finding file/line/
category, detected frameworks, a suggested_preset, the
effective_config that was applied, and the files that config already
excludes.
The scan is config-aware by default: it reads the project's pyobfus.yaml and
reports findings that the configuration already mitigates separately from the
ones that still stand. Do not present a mitigated finding as an open risk.
The two front ends differ on network access, so check which one you are
using before telling the user anything about it. The CLI's --check runs
the dependency-hallucination advisory by default, which looks each declared
dependency up on PyPI; pass --offline to skip it. The MCP tool is the
opposite: it makes no network call unless you pass
verify_dependencies_online=true. If the user is on a restricted network or
cares that nothing leaves the machine, say --offline explicitly.
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 · 133 lines · 124 tokens per session scan A 6387d9f8e025
pyobfus-review is a skill published in the GitHub repository zhurong2020/pyobfus (11 stars, last pushed yesterday), licensed Apache-2.0. It adds 124 tokens to every session and 1,322 once invoked, about $0.0005 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 2026-09-13.
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