BF apk-reverse
Android APK reverse engineering: unpacking, Java decompilation, smali modification, repacking and signing, Frida dynamic hooking, and native .so analysis with jadx, apktool, adb, and related tools.
Android APK reverse engineering: unpacking, Java decompilation, smali modification, repacking and signing, Frida dynamic hooking, and native .so analysis with…
As a process F 40/100 · Will not run — References files that are not bundled: scripts/decode.ps1, scripts/frida-run.ps1, scripts/rebuild-sign-install.ps1
The same skill appears in 2 more places: agentic-awesome-skills, agentic-awesome-skills
What is at stake
The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.
The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
How to improve
- Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
- The text references files that are not there: add them or drop the references.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 1
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high Dangerous commands
cmd-pipe-to-shellSKILL.md:242Downloads and executes remote code from an unrecognised host (pipe to shell)- Magisk/脚本格机特征与远程 curl|sh(AR/AS)→ 特征与 URL 入证,**不执行**破坏命令 <!-- security-allowlist: curl-pipe-bash -->
Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: scripts/decode.ps1 - warning
missing-refreference to a missing file: scripts/frida-run.ps1 - warning
missing-refreference to a missing file: scripts/rebuild-sign-install.ps1 - warning
missing-refreference to a missing file: scripts/manifest-summary.ps1 - note
frontmatter-keyunknown frontmatter key "risk" - note
frontmatter-keyunknown frontmatter key "source" - note
frontmatter-keyunknown frontmatter key "source_repo" - note
frontmatter-keyunknown frontmatter key "source_type" - note
frontmatter-keyunknown frontmatter key "date_added" - note
frontmatter-keyunknown frontmatter key "license_source"
Process rating: all ten parameters 40/100
- 0Tools and files. 4 referenced file(s) missing: scripts/decode.ps1, scripts/frida-run.ps1, scripts/rebuild-sign-install.ps1
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 139 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2265 tokens
- 100Running it twice. No mutating operations
- low 14 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -44 reference files, but SKILL.md never points to them: the model will not open them
- +2Single-language instructions
- +3Description length 197: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 139 items
- +4Has examples (11 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.