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 batteryshark/rekit --skill elf-analyzegit clone --depth 1 https://github.com/batteryshark/rekitWrote 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/batteryshark/rekit/elf-analyze)<a href="https://agentmods.dev/skills/batteryshark/rekit/elf-analyze"><img src="https://agentmods.dev/badge/skills/batteryshark/rekit/elf-analyze/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/batteryshark/rekit/elf-analyze"><img src="https://agentmods.dev/badge/skills/batteryshark/rekit/elf-analyze.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 | $0.00084 | $0.00538 |
| Opus 5.5 | $0.00034 | $0.00215 |
| Sonnet 5.5 | $0.00017 | $0.00108 |
| Haiku 4.5 | $0.00008 | $0.00054 |
Grade A, and why
elf-analyze 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.
What it actually says
ELF Binary Analyzer
Static triage of ELF binaries (Linux/BSD executables, shared objects, relocatable objects) with pyelftools.
When to use
You have a Linux binary or .so and want a fast read on what it is and whether it
looks suspicious — without running it. Pair it with hex-view; its BINARY.* atoms
provide structured evidence for downstream analysis.
What it reports
- Header — ELF32/64, endianness, machine/arch, type (EXEC/DYN/REL), entry point.
- Sections — name, size, and Shannon entropy (a high-entropy section is a
packing/encryption tell) →
BINARY.HIGH_ENTROPY. - Dynamic — needed libraries, and
RPATH/RUNPATH(a.sosearch-path hijack surface) →BINARY.RPATH. - Imports — undefined dynamic symbols, classified by capability
(network / exec / inject / load / crypto) →
BINARY.INTERESTING_IMPORT. - Hardening — PIE, NX (executable stack →
BINARY.EXEC_STACK), RELRO, text relocations (BINARY.TEXTREL).
It is strictly static — it parses structure via pyelftools and never loads, maps, or executes the binary. Safe on hostile files.
Usage
rekit run elf-analyze ./suspicious.so
rekit run elf-analyze ./payload --format json
Non-ELF input fails honestly ({"ok": false, "error": "not a valid ELF: …"}).
Prerequisites
- python3 ≥ 3.8 — pyelftools is installed under
scripts/site(pure-python), so there's no network/install at analysis time.
Rebuilding
scripts/site is populated from the pinned scripts/requirements.txt by
scripts/build.sh (uv pip install --target, build time only).
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.
- 1mo ago First seen · 50 lines · 84 tokens per session scan A e255a0950153
elf-analyze is a skill published in the GitHub repository batteryshark/rekit (20 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 84 tokens to every session and 538 once invoked, about $0.0003 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.
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