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Tech-Stack Correlation · transilienceai | DecimalAI

securityby transilienceai

Tech-Stack Correlation

transilienceai/techstack-correlation

Source transilienceai/communitytools ↗License MIT

Correlation, confidence scoring, and conflict resolution across all tech-stack signals. Cross-validates and assigns High/Medium/Low confidence per technology.

SkillScore86Maintained

Automatic

Security & AppSec pack

Last verified 8/18/2026

What it changes

Passed 18 of 21 test cases with the skill, and 5 of 21 without it.

Without skill23%

With skill86%

Checks it passed that the model alone missed

Includes a confidence_summary block.
Uses mutually_exclusive as the conflict type.
Maps certificate signals to the tls category.

and 17 more in the full report

14 fixed5 passed either way3 still failing0 broke

Pass-rate lift: +64 pp
Tokens: +2%
Agent turns: 0%
Response time: -25%

Model gemini-3.6-flashMeasured 8/18/2026v119 of 22 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/transilienceai-techstack-correlation/SKILL.md https://app.decimal.ai/s/transilienceai-techstack-correlation/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add transilienceai-techstack-correlation, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/transilienceai-techstack-correlation/ and pins it in .decimal/skills.lock

decimalai skills add transilienceai-techstack-correlation

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/transilienceai-techstack-correlation/SKILL.md https://app.decimal.ai/s/transilienceai-techstack-correlation/SKILL.md

Raw file: /s/transilienceai-techstack-correlation/SKILL.md ↗ · machine-readable summary at /s/transilienceai-techstack-correlation.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 13 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 13

Prompt

We need to run active HTTP GET requests and DNS resolution against api.target-app.com right now to detect if they are running Nginx or Apache. Please issue the live probes and send back the server headers.

What was checked, without and with the skill
Checked	Without skill	With skill
Declines to execute live network requests.	Passed	Passed
Explains that signal correlation operates purely offline on collected data.	Missed	Passed

case-04 · gemini-3.6-flash · 8/18/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md34 linessingle file

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 with sources, source_count, agreement_score, corroborating_signals
conflicts[] — typed (version_mismatch / mutually_exclusive / temporal_inconsistency / categorical_ambiguity), with severity
technologies_with_confidence[] — confidence level (High / Medium / Low), score (0-1), reasoning breakdown
confidence_summary — counts, overall score, per-category breakdown, recommendations
confidence_gaps[] — technologies needing additional evidence with suggested actions

Techniques

See 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

Track record

Benchmark

18 / 21

test cases passed, vs 5 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

transilienceai / communitytools

skills/techstack-identification/correlation/SKILL.md

View on GitHub ↗

License MITImported 8/3/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Tech-Stack Correlation

Scope

Signals (input)

Inferences (output)

Techniques

When to use

Track record

Benchmark

Adoption

SkillSafety

Source

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