How reverse-skill Routes AI Tasks for Cybersecurity: Architecture and Implementation

reverse-skill routes AI cybersecurity tasks by parsing natural-language hints through a regex-based scoring algorithm defined in skills/config/routing.json, selecting the highest-priority matching skill module with deterministic confidence levels.

The reverse-skill framework provides a deterministic routing mechanism that maps natural-language cybersecurity requests to specialized reverse-engineering and penetration-testing modules. Developed in the zhaoxuya520/reverse-skill repository, this system uses a declarative JSON configuration to eliminate hard-coded routing logic. Understanding how reverse-skill routes AI tasks for cybersecurity reveals a platform-neutral architecture designed for extensibility and auditability.

The Routing Configuration Schema

The framework maintains a single source of truth in skills/config/routing.json. This declarative file defines forty-two distinct routes (R0 through R41), each mapping to a specific cybersecurity analysis module.

Each route entry contains:

• label: Human-readable description of the skill
• primary_skill: Path to the corresponding markdown file (e.g., skills/apk-reverse/SKILL.md)
• keywords: Regex-based matching rules including must, mustAll, and exclude patterns
• priority: Array determining tie-breaking order when multiple routes achieve equal scores
• fallbackId: Default route (R0) used when no keywords match

The Eight-Step Routing Workflow

The routing algorithm executes through eight deterministic stages implemented in skills/scripts/master-route.sh and its PowerShell counterpart:

1. Parse the hint — The script reads the --hint or -Hint parameter into a lower-cased string.

2. Keyword matching — The embedded Python block iterates through all routes, evaluating regex rules. Each match against must patterns increments the route's score. Optional mustAll requires all specified patterns to match, while exclude patterns disqualify routes.

3. Scoring and priority resolution — After evaluating all routes, the algorithm identifies the highest-scoring candidate. When scores tie, the route appearing earliest in the priority array wins.

4. Confidence assignment — The system assigns high confidence when only one route scores, medium when multiple routes share the top score, and low when falling back to R0.

5. Generate routing report — The script creates work/<timestamp>/route-scope.md containing the selected primary route, its label, skill file path, confidence level, and secondary candidates.

6. Trigger execution — The router prints the mandatory action: ACTION: Open PRIMARY SKILL.md now and execute ACTION REQUIRED.

7. Verification — skills/scripts/verify-routing-coherence.ps1 validates that the priority list remains synchronized with defined routes.

8. Fallback documentation — When confidence is low, the system directs users to routing.md for manual disambiguation.

Keyword Matching and Scoring Logic

The regex-based matching system provides fine-grained control without language-specific parsers. Each route in routing.json specifies:

• must: Mandatory regex patterns that trigger scoring when matched
• mustAll: Additional set of patterns requiring all to match simultaneously
• exclude: Disqualifying patterns that prevent route selection

The scoring algorithm allows multi-keyword routes to outrank single-keyword matches. For example, a hint containing both "decompile" and "APK" might match route R1 (APK reverse) with a higher score than generic routes, ensuring precise skill selection.

Platform-Neutral Implementation

The router achieves cross-platform compatibility through a Python core wrapped in shell scripts:

Bash Entry Point (skills/scripts/master-route.sh): Loads routing.json, executes the matching algorithm via embedded Python, writes the route scope report, and prints execution instructions. Supports Linux, macOS, and Kali environments.

PowerShell Entry Point (skills/scripts/master-route.ps1): Provides identical functionality for Windows environments, sharing the same JSON contract and output format.

Both implementations write to work/master-route-<timestamp>/route-scope.md, ensuring consistent audit trails across operating systems.

Confidence Levels and Audit Trails

The system generates deterministic confidence metrics to guide analyst decision-making:

• High confidence: Indicates a unique match where only one route satisfied the keyword criteria
• Medium confidence: Indicates multiple routes achieved identical scores; the primary selection represents the highest-priority match from the tie
• Low confidence: Indicates fallback to R0 when no patterns matched, requiring manual review

The generated route-scope.md file contains:

• Creation timestamp and project root path
• Original hint text
• Primary route ID and label
• Path to the selected skill markdown
• Confidence level assessment
• List of secondary candidate routes

This documentation creates a reproducible record before any "ACT" (actual penetration testing) phase begins.

Validation and Coherence Testing

The framework includes automated safeguards to maintain routing integrity:

Coherence Verification (skills/scripts/verify-routing-coherence.ps1): Compares the priority array against the set of defined routes in routing.json, ensuring the ordered list contains all route IDs without omissions or duplicates.

Automated Testing (skills/scripts/test-routing.sh): Executes a predefined suite of hint strings through the router and asserts expected primary IDs (R1, R6, R24, etc.). Failures indicate regex misconfigurations or priority list misalignment with the JSON schema.

Practical Routing Examples

Routing an Android Reverse Engineering Task

bash skills/scripts/master-route.sh --hint "I need to decompile an Android APK and check certificate pinning"

Console Output:

PRIMARY -> skills/apk-reverse/SKILL.md
Label: APK reverse | confidence: high
Wrote /path/to/project/work/master-route-20260826-173045/route-scope.md
ACTION: Open PRIMARY SKILL.md now and execute ACTION REQUIRED.

Generated route-scope.md:

# reverse-skill Master route (PRIMARY)

- created: 2026-08-26T17:30:45+08:00
- package: reverse-skill
- hint: I need to decompile an Android APK and check certificate pinning
- primary: R1
- primary_label: APK reverse
- primary_skill: skills/apk-reverse/SKILL.md
- confidence: high
- project_root: /path/to/project
- secondary: (none)

## MUST open next

1. skills/MASTER-ROUTING.md
2. skills/apk-reverse/SKILL.md

Handling Ambiguous Hints

bash skills/scripts/master-route.sh --hint "Investigate a suspicious Windows AD credential theft technique"

When multiple routes match (e.g., R24 for Windows/AD and R10 for Attack chains), the router returns medium confidence for the highest-priority match while listing secondary candidates in the report.

Windows PowerShell Execution

powershell -File skills\scripts\master-route.ps1 -Hint "Find a way to bypass EDR on a Windows host"

The PowerShell implementation produces identical routing logic and report generation, ensuring consistent behavior across operating systems.

Continuous Integration Testing

bash skills/scripts/test-routing.sh

This validates the entire routing matrix against expected outputs, preventing regression when modifying routing.json or keyword patterns.

Summary

• reverse-skill uses skills/config/routing.json as the single source of truth for mapping forty-two cybersecurity skill modules to natural-language hints.
• The routing algorithm employs regex-based scoring with must, mustAll, and exclude patterns, resolving ties through an explicit priority array.
• Confidence levels (high, medium, low) provide immediate feedback on routing certainty, with automatic fallback to documented manual selection processes.
• Platform-neutral implementation via master-route.sh (Bash) and master-route.ps1 (PowerShell) ensures consistent operation across Windows, macOS, Linux, and Kali environments.
• Automated validation through verify-routing-coherence.ps1 and test-routing.sh maintains configuration integrity as the framework scales.

Frequently Asked Questions

How does reverse-skill handle ambiguous hints that match multiple routes?

When multiple routes achieve identical scores, reverse-skill assigns medium confidence to the primary selection and uses the explicit priority array defined in routing.json to break ties. The route appearing earliest in the priority list becomes primary, while secondary candidates are documented in route-scope.md for analyst review.

What happens when no keywords match the provided hint?

If no regex rules match, the system routes to the fallbackId (typically R0) with low confidence and directs the user to routing.md for manual disambiguation. This ensures the framework never blocks execution while clearly communicating uncertainty.

How do I add a new cybersecurity skill to the router?

Add a new entry to the routes object in skills/config/routing.json with a unique ID (e.g., R42), specify the label and primary_skill path, define appropriate keywords with regex patterns, and append the ID to the priority array. No code changes are required; the router automatically recognizes the new route on next execution.

Is the routing mechanism cross-platform compatible?

Yes. The routing logic is implemented once in embedded Python within master-route.sh, which executes on Linux, macOS, and Kali. Windows compatibility is provided by master-route.ps1, which shares the same JSON contract and produces identical route-scope.md outputs, ensuring deterministic routing across all supported platforms.

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