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-protectgit 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-protect)<a href="https://agentmods.dev/skills/zhurong2020/pyobfus/pyobfus-protect"><img src="https://agentmods.dev/badge/skills/zhurong2020/pyobfus/pyobfus-protect/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-protect"><img src="https://agentmods.dev/badge/skills/zhurong2020/pyobfus/pyobfus-protect.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00130 | $0.01765 |
| Opus 5 | $0.00065 | $0.00882 |
| Sonnet 5 | $0.00026 | $0.00353 |
| Haiku 4.5 | $0.00013 | $0.00177 |
Grade A, and why
pyobfus-protect 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 10d 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 — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Protect a Python project with pyobfus
Your job: take a Python project from "plain source" to "obfuscated and verified-still-working output", then hand the user a clear result — including the one safety fact that matters (keep the mapping private).
Decision: MCP tool or CLI?
First check whether the pyobfus-mcp server is connected (look for a
protect_project / check_obfuscation_risks tool).
- If the MCP server is available → use it. It is the shortest, most reliable path and it self-verifies.
- If not → use the
pyobfusCLI (pip install pyobfus). Every command supports--jsonwith a stable schema.
Confirm the target path and the output directory with the user before writing anything. Never obfuscate into the source tree.
Path A — MCP (preferred): one call
Call protect_project with the source path. It runs the whole pipeline
and self-verifies:
protect_project(path="src", output_dir="dist")
Read the result:
verified: true(+confidence) → report success and where the output is.verified: false/status: "warnings"→ do NOT tell the user it's ready. The obfuscated output failed to compile or import. Follow the response'snext_tool(usuallycheck_obfuscation_risks) to find the offending construct, fix or exclude it, and re-run.pro_valuepresent → the project has sensitive string literals or high-severity findings; mention that pyobfus Pro (AES-256 string encryption) would protect them, but don't be pushy.
protect_project writes the de-obfuscation mapping next to (never
inside) the output. Surface mapping_security_note to the user.
For a deeper check, the user can pass verify_cmd (an app-level
end-to-end check, e.g. python -m myapp --selftest) — note this is gated
behind the PYOBFUS_MCP_ALLOW_VERIFY_CMD=1 environment variable on the
server, and should NOT be unit tests bound to internal symbol names (those
are expected to fail once names are renamed).
Path B — CLI: scan → init → obfuscate → verify
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.
- 10d ago First seen · 156 lines · 130 tokens per session scan A ebd6984b29a2
pyobfus-protect is a skill published in the GitHub repository zhurong2020/pyobfus (7 stars, last pushed 2d ago), licensed Apache-2.0. It adds 130 tokens to every session and 1,765 once invoked, about $0.0006 per session on Opus 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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