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 magnus919/agent-skills --skill binary-analysisgit clone --depth 1 https://github.com/magnus919/agent-skillsWrote 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/magnus919/agent-skills/binary-analysis)<a href="https://agentmods.dev/skills/magnus919/agent-skills/binary-analysis"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/binary-analysis/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/magnus919/agent-skills/binary-analysis"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/binary-analysis.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 | $0.00117 | $0.03514 |
| Opus 5.5 | $0.00047 | $0.01406 |
| Sonnet 5.5 | $0.00023 | $0.00703 |
| Haiku 4.5 | $0.00012 | $0.00351 |
Grade A, and why
binary-analysis 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 17d 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 — 333 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Binary Analysis — Agent Skill
Plan analysis of unknown binary files through a deterministic, non-interactive
CLI intended for Ghidra; see the implementation limitation below. The skill teaches you how to reason about
binaries: when to triage versus deep-dive, how to interpret canonical evidence,
and how to produce auditable reports. All observable operations happen through
the binary CLI — you never call Ghidra APIs directly.
Implementation status
This release does not provide live Ghidra analysis. Import, analyze, metadata,
structural/function queries, search, triage, and report generation stop with an
explicit backend error. Installing dependencies cannot make the unfinished
adapter operational. Project administration and dependency diagnostics remain
available. The production CLI does not load or select FakeAdapter; tests
inject it explicitly. There is no fixture/demo CLI switch or environment
override.
The workflow below describes the intended interface, not runnable analysis in this release. Stop at the backend error and explain the limitation. Do not cite old fixture-derived reports as evidence about a user's binary, even if an old project is marked READY. A future live backend needs verification on distinct known binaries before results can be treated as observations.
When to Use
Load this skill when any of the following conditions match:
- A user provides a binary file (PE, ELF, Mach-O, firmware image) and asks what it does, what APIs it imports, or whether it is suspicious.
- A user asks for decompilation, disassembly, call-graph exploration, or cross-reference analysis of a specific function or address.
- A user wants a structured triage report, suspicious-API analysis, or capability map for an unknown binary.
- A user asks to compare two binaries, verify export tables, or extract strings matching a pattern.
- A user wants to set up the analysis toolchain (
binary doctor,binary bootstrap) or manage analysis projects.
What ships with it
60 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.
- .coveragerc 317 B
- evals/evals.json 7.3 KB
- README.md 4.8 KB
- references/binary-formats.md 15 KB
- references/cli-reference.md 20 KB
- references/evidence-and-confidence.md 11 KB
- references/firmware.md 10 KB
- references/function-analysis.md 14 KB
- references/installation.md 9.9 KB
- references/packed-and-obfuscated.md 11 KB
- references/reporting.md 11 KB
- references/security.md 12 KB
- references/triage-workflow.md 13 KB
- references/troubleshooting.md 11 KB
- scripts/binary 489 B
- scripts/binary_analysis/__init__.py 130 B runs code
- scripts/binary_analysis/adapters/__init__.py 1000 B runs code
- scripts/binary_analysis/adapters/base.py 21 KB runs code
- scripts/binary_analysis/adapters/fake.py 62 KB runs code
- scripts/binary_analysis/adapters/ghidra/__init__.py 550 B runs code
- scripts/binary_analysis/adapters/ghidra/adapter.py 14 KB runs code
- scripts/binary_analysis/adapters/ghidra/bridge.py 8.7 KB runs code
- scripts/binary_analysis/adapters/runtime.py 718 B runs code
- scripts/binary_analysis/bootstrap/__init__.py 249 B runs code
- scripts/binary_analysis/bootstrap/deps.py 11 KB runs code
- scripts/binary_analysis/cli/__init__.py 528 B runs code
- scripts/binary_analysis/cli/binary_ops.py 36 KB runs code
- scripts/binary_analysis/cli/bootstrap.py 13 KB runs code
- scripts/binary_analysis/cli/doctor.py 2.8 KB runs code
- scripts/binary_analysis/cli/functions.py 32 KB runs code
- scripts/binary_analysis/cli/helpers.py 7.9 KB runs code
- scripts/binary_analysis/cli/main.py 27 KB runs code
- scripts/binary_analysis/cli/project.py 25 KB runs code
- scripts/binary_analysis/cli/references.py 23 KB runs code
- scripts/binary_analysis/cli/reporting.py 13 KB runs code
- scripts/binary_analysis/cli/search.py 18 KB runs code
- scripts/binary_analysis/cli/security.py 30 KB runs code
- scripts/binary_analysis/cli/structural.py 28 KB runs code
- scripts/binary_analysis/cli/version.py 1.4 KB runs code
- scripts/binary_analysis/cli/worker.py 8.6 KB runs code
- scripts/binary_analysis/domain/__init__.py 2.8 KB runs code
- scripts/binary_analysis/domain/entities.py 10 KB runs code
- scripts/binary_analysis/domain/enums.py 2.5 KB runs code
- scripts/binary_analysis/domain/errors.py 6.3 KB runs code
- scripts/binary_analysis/domain/schemas.py 11 KB runs code
- scripts/binary_analysis/domain/selectors.py 8.4 KB runs code
- scripts/binary_analysis/projects/__init__.py 2.4 KB runs code
- scripts/binary_analysis/projects/atomic.py 4.4 KB runs code
- scripts/binary_analysis/projects/cache.py 6.1 KB runs code
- scripts/binary_analysis/projects/diagnostics.py 4.5 KB runs code
- scripts/binary_analysis/projects/lock.py 8.0 KB runs code
- scripts/binary_analysis/projects/manifest.py 5.9 KB runs code
- scripts/binary_analysis/projects/path_security.py 8.5 KB runs code
- scripts/binary_analysis/projects/state_machine.py 5.5 KB runs code
- scripts/binary_analysis/projects/workspace.py 6.5 KB runs code
- scripts/binary_analysis/reporting/__init__.py 1.1 KB runs code
- scripts/binary_analysis/reporting/audit.py 4.8 KB runs code
- scripts/binary_analysis/reporting/generator.py 36 KB runs code
- scripts/binary_analysis/rules/__init__.py 788 B runs code
- scripts/binary_analysis/rules/capabilities.py 27 KB runs code
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.
- 17d ago Changed · +16 lines · +6 tokens per session e38b926a737d
- 1mo ago First seen · 317 lines · 111 tokens per session scan A 9e0d6f7c541e
binary-analysis is a skill published in the GitHub repository magnus919/agent-skills (147 stars, last pushed yesterday), licensed MIT. It adds 117 tokens to every session and 3,514 once invoked, about $0.0005 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.
Other skills, from other repositories
cocoreview
CocoReview — structured code review with six-severity findings vocabulary, progressive disclosure architecture, and universal anti-pattern baseline. Invoked via $review [file] [--complexity] [--security] [--architecture] [--language ].
meter-reconcile
Skill-native CocoMeter transcript reconciliation and adapter canary. Replaces the former meter-reconcile and adapter-self-test runtime helpers.
stall
Show CocoStall loop and no-progress detection status.
stall-reset
Reset CocoStall counters after an operator-approved recovery.
stall-status
Report current CocoStall no-progress and loop state.
stall-thresholds
Show or update CocoStall thresholds.