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 meltedinhex/analyst-ai-pack --skill decrypting-embedded-configurationgit clone --depth 1 https://github.com/meltedinhex/analyst-ai-packWrote 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/meltedinhex/analyst-ai-pack/decrypting-embedded-configuration)<a href="https://agentmods.dev/skills/meltedinhex/analyst-ai-pack/decrypting-embedded-configuration"><img src="https://agentmods.dev/badge/skills/meltedinhex/analyst-ai-pack/decrypting-embedded-configuration.svg" alt="Measured on agentmods" 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 | $0.00069 | $0.00698 |
| Opus 5 | $0.00034 | $0.00349 |
| Sonnet 5 | $0.00014 | $0.00140 |
| Haiku 4.5 | $0.00007 | $0.00070 |
Grade A, and why
decrypting-embedded-configuration 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 7d 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
Decrypting Embedded Configuration
When to Use
- You have an extracted config blob (from a resource,
.datasection, or overlay) that is XOR/RC4/ base64-obfuscated and want to recover plaintext settings. - You need a quick brute-force over common schemes before writing a family-specific decryptor.
Do not use this on a live-decrypted-in-memory config — for that use the memory config skill. This works statically on the extracted blob and executes nothing.
Prerequisites
- The extracted ciphertext blob and (optionally) a candidate key.
Safety & Handling
- Treat decoded endpoints as live C2; defang before sharing.
Workflow
Step 1: Try single-byte XOR
python scripts/analyst.py xor blob.bin
Brute-forces all 256 single-byte keys and scores each output for printable ratio and config tokens
(http, .php, IP patterns, id=).
Step 2: Try RC4 / multi-byte XOR with a key
python scripts/analyst.py rc4 blob.bin --key mysecret
python scripts/analyst.py xorkey blob.bin --key 0x11,0x22,0x33
Step 3: Peel base64 / repeat
If output is base64, decode and re-run the scheme search on the result.
Step 4: Extract and defang
Pull URLs/IPs/keys from the best-scoring plaintext and defang.
Validation
- The chosen scheme yields a high printable ratio and real config tokens.
- Recovered endpoints parse as valid hosts/URLs.
- Output is defanged before sharing.
Pitfalls
- Single-byte XOR coincidentally producing some ASCII — require config tokens, not just printables.
- RC4 key drop-bytes variants (RC4-drop) needed by some families.
- Nested layers (base64 over XOR over RC4) requiring multiple passes.
References
- See
references/api-reference.mdfor the decryptor. - ATT&CK T1140 and the RC4 description (linked in frontmatter).
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.
- 7d ago First seen · 91 lines · 69 tokens per session scan A 5f47fefb91bc
decrypting-embedded-configuration is a skill published in the GitHub repository meltedinhex/analyst-ai-pack (22 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 69 tokens to every session and 698 once invoked, about $0.0003 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 2026-08-30.
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