Techstack Correlation
Correlation, confidence scoring, and conflict resolution across all tech-stack signals. Cross-validates and assigns High/Medium/Low confidence per technology.
Install
$ agentstack add skill-transilienceai-communitytools-correlation ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Links to your public security report.[](https://agentstack.voostack.com/security/report/skill-transilienceai-communitytools-correlation) Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Tech-Stack Correlation
Scope
The Phase 4 layer that consumes all detection outputs (frontend, backend, infra, security, OSINT) and produces the final vetted technology list:
- Cross-validate signals from independent sources for corroboration
- Score confidence per technology (multi-factor weighted scoring)
- Resolve conflicts between signals (version mismatch, mutually exclusive frameworks, temporal inconsistencies, categorical ambiguity)
- Flag unresolvable conflicts for manual review
Signals (input)
- Raw signals grouped by category:
http,dns,tls,javascript,html,repository,job,archive - Inferred technologies from each detection domain (frontend / backend / infra / security)
- Asset inventory (domains, subdomains, IP map) for URL-context resolution
Inferences (output)
correlated_technologies[]— each withsources,source_count,agreement_score,corroborating_signalsconflicts[]— typed (versionmismatch / mutuallyexclusive / temporalinconsistency / categoricalambiguity), with severitytechnologies_with_confidence[]— confidence level (High / Medium / Low), score (0-1), reasoning breakdownconfidence_summary— counts, overall score, per-category breakdown, recommendationsconfidence_gaps[]— technologies needing additional evidence with suggested actions
Techniques
See [reference/patterns.md](reference/patterns.md).
When to use
- Always — last analysis stage before report generation
- Required to decide what makes the final tech-stack list and at what confidence
- Pure computation; no external requests
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: transilienceai
- Source: transilienceai/communitytools
- License: MIT
- Homepage: https://www.transilience.ai/
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.