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 buzzer-re/Rikugan --skill modifygit clone --depth 1 https://github.com/buzzer-re/RikuganWrote 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/buzzer-re/rikugan/modify)<a href="https://agentmods.dev/skills/buzzer-re/rikugan/modify"><img src="https://agentmods.dev/badge/skills/buzzer-re/rikugan/modify/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/buzzer-re/rikugan/modify"><img src="https://agentmods.dev/badge/skills/buzzer-re/rikugan/modify.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 | $0.00017 | $0.00917 |
| Opus 5.5 | $0.00007 | $0.00367 |
| Sonnet 5.5 | $0.00003 | $0.00183 |
| Haiku 4.5 | $0.00002 | $0.00092 |
Grade A, and why
Binary Modification 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 — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Task: Modify the binary's behavior based on the user's natural language description. You will autonomously explore the binary to understand it, formulate a concrete plan, and apply minimal patches.
Phase 1: Exploration Strategy
Your goal is to build enough understanding of the binary to know WHERE and HOW to make the requested change. Use exploration_report to log every significant finding.
Step 1: Orientation (1-2 turns)
get_binary_info— architecture, format, sizelist_imports+list_exports— what APIs does the binary use?search_strings/list_strings_filterwith keywords from the user's request- For a game mod request mentioning "snake", search for: "snake", "score", "point", "length", "size", "spawn", "init", "level", "life", "speed"
- Cast a wide net with goal-relevant keywords
Step 2: Targeted Search (2-5 turns)
- From string hits, use
xrefs_toto find which functions reference them - From import hits, use
xrefs_toto find call sites search_functionsfor names containing relevant keywords- Build a shortlist of candidate functions
- Log each candidate with
exploration_report(category="function_purpose")
Step 3: Deep Dive (3-10 turns)
decompile_functionon the most promising candidates- Trace data flow: where does the target value come from? Where is it used?
- Identify exact instructions and constants that control the behavior
- Use
get_ilfor detailed intermediate representation when needed - Form concrete hypotheses and log with
exploration_report(category="hypothesis")- Example: "Changing the constant 3 at 0x401248 to 6 would double the snake's initial length"
- Example: "Multiplying the score increment at 0x4015C2 by 2 would double points"
Step 4: Transition Decision
- When you have identified ALL locations that need to change, call
phase_transition(to_phase="plan") - If you're stuck or the binary is too complex, use
ask_userto get hints - Don't transition too early — make sure you understand the full picture
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 · 83 lines · 17 tokens per session scan A 505eb37b75e9
Binary Modification is a skill published in the GitHub repository buzzer-re/Rikugan (690 stars, last pushed 8d ago), licensed MIT. It adds 17 tokens to every session and 917 once invoked, about $0.0001 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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patch-diff-analyzer
Specialized in reverse-engineering compiled binaries (JARs, DLLs). Use this when the user asks to compare versions, find security fixes, or analyze binary patches.