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 DimaReverse/nuitka-static-unpacker --skill nuitka-nbc-rebuilder-skillgit clone --depth 1 https://github.com/DimaReverse/nuitka-static-unpackerWrote 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/dimareverse/nuitka-static-unpacker/nuitka-nbc-rebuilder-skill)<a href="https://agentmods.dev/skills/dimareverse/nuitka-static-unpacker/nuitka-nbc-rebuilder-skill"><img src="https://agentmods.dev/badge/skills/dimareverse/nuitka-static-unpacker/nuitka-nbc-rebuilder-skill/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/dimareverse/nuitka-static-unpacker/nuitka-nbc-rebuilder-skill"><img src="https://agentmods.dev/badge/skills/dimareverse/nuitka-static-unpacker/nuitka-nbc-rebuilder-skill.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 | $0.00142 | $0.02120 |
| Opus 5.5 | $0.00057 | $0.00848 |
| Sonnet 5.5 | $0.00028 | $0.00424 |
| Haiku 4.5 | $0.00014 | $0.00212 |
Grade A, and why
nuitka-nbc-rebuilder 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 2mo 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 — 179 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Nuitka NBC -> Python Source
Rebuild Python source from a Nuitka .nbc file with maximum fidelity to the
original module. Treat the .nbc as forensic evidence, not as a normal Python
bytecode listing. Nuitka may have removed comments, formatting, some local
names, and may have inlined or optimized logic; never promise exact 1:1 output
when the evidence is incomplete.
If the user needs to generate inputs first, prefer:
python nuitka_decompiler.py --source target.exe --output OUT --only app,app.* --nbc-only
Output Contract
Emit one Python code block per module:
# MODULE: <module.dotted.name>
# CONFIDENCE: <percent>% evidence-backed reconstruction
# UNCERTAIN SPANS: <count>
<imports>
<globals>
<classes>
<functions>
No prose outside the code block unless the user explicitly asks for
explanation. If a required .nbc section is missing, ask for the missing data
instead of fabricating code.
Non-Negotiable Rules
- Do not invent logic. Every emitted statement must be supported by
@OPS,@ASM,@CONSTS,@IMPORTS,@CODE_OBJECTS, or@FORENSICS. - Preserve every literal exactly as shown in
@CONSTS: strings, URLs, numbers, dict keys, format strings, escapes, and casing. - Preserve imported names exactly when they are evidenced. Do not add imports for convenience.
- Mark uncertain code with
# UNCERTAIN: <specific reason>. - Prefer a short uncertain body over a plausible but unsupported body.
- Do not add comments, docstrings, logging, exception handling, async, crypto
primitives, decorators, or helper functions unless the
.nbcsupports them. - Do not collapse an evidenced sequence into
.... If@OPSand@ASMshow imports, attribute chains, calls, branches, or returns, reconstruct the smallest Python statement sequence that matches that evidence and mark only the missing operand or receiver as uncertain.
NBC/2 Sections
@NBC 2: format marker.@MOD: module name.@VER: CPython target version.@ENTRY: native VA of the module entry function.@MODULE_TABLE: loader-table metadata;func_ptrconfirms the module entry.@RAW_CHUNK: base64 of the original Nuitka constants chunk. Use it only to verify or re-parse evidence; do not decode it by hand unless necessary.@CONSTS <count> mode=full_repr: authoritativemod_conststable.@IMPORTS: analyzer-suggested import statements.@FUNCS_DETECTED: inferred function signatures.@CODE_OBJECTS: code-object metadata where Nuitka preserved it.@BLOCKS: summary of disassembled native blocks.@OPS <va> # <qualname>: virtual operations derived from native code.@ASM <va>: source-relevant annotated native assembly. Low-signal native moves may be omitted by the emitter; use this to resolve ambiguous@OPS, arithmetic, comparisons, attribute names, and C-API calls.@FORENSICSand@NO_OPS <qualname>: evidence for functions without a reachable@OPSbody.- Bare
@NO_OPS: the whole module lacks disassembly; emit only signatures and constants-backed globals with uncertainty markers.
What ships with it
4 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.
- 2mo ago First seen · 179 lines · 142 tokens per session scan A f0ca76da0deb
nuitka-nbc-rebuilder is a skill published in the GitHub repository DimaReverse/nuitka-static-unpacker (137 stars, last pushed 2mo ago), licensed MIT. It adds 142 tokens to every session and 2,120 once invoked, about $0.0006 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 2026-08-30.
nuitka-nbc-rebuilder compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nuitka-nbc-rebuilderDimaReverse/nuitka-static-unpacker | Skill | 137 | 2mo ago | MIT | A | 142 | Claude Code, Codex |
| python-code-qualitymicrosoft/agent-framework | Skill | 15k | yesterday | MIT | A | 40 | Claude Code, Codex |
| plugin-architecture-patternsxberg-io/xberg | Skill | 9.5k | yesterday | MIT | A | 15 | Claude Code |
| test-corpusxberg-io/xberg | Skill | 9.5k | yesterday | MIT | A | 15 | Claude Code, Codex |
| stack-trace-python-probeopensquilla/opensquilla | Skill | 7.1k | 6d ago | Apache-2.0 | A | 40 | Claude Code |
| idapythonmrexodia/ida-pro-mcp | Skill | 13k | 1mo ago | MIT | A | 77 | Claude Code |
| memory-optimizationbenchflow-ai/skillsbench | Skill | 1.9k | 2d ago | Apache-2.0 | A | 60 | Claude Code, Codex |