Triaging Security Findings logo

Triaging Security Findings

Organization
bitwarden
triaging-security-findings

This skill should be used when the user asks to "triage security findings", "fix an Aikido finding", "review Aikido issues", "dismiss a false positive", "check SAST/IaC alerts", or needs to work with Aikido feed issues, GitHub Dependabot alerts, or GitHub secret scanning alerts.

Overview

Publisherbitwarden
Repositoryai-plugins
Skill nametriaging-security-findings
Stars
149
Forks
19
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by bitwarden on GitHub. Read the source before you install it.

Installation

Install the Triaging Security Findings AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bitwarden/ai-plugins.git /tmp/ai-plugins
mkdir -p .claude/skills
cp -r /tmp/ai-plugins/plugins/bitwarden-security-engineer/skills/triaging-security-findings .claude/skills/triaging-security-findings
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Triaging Security Findings in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Triaging Security Findings on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Triaging Security Findings is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Scanner Landscape

Bitwarden uses Aikido as its unified security platform. Aikido continuously scans connected repositories and surfaces findings across SAST, IaC, SCA (open source), secrets, cloud, container, malware, EOL, and license categories in a single feed.

Findings are queried and triaged via the aikido:issues skill (aikido_issues_list), not through GitHub code-scanning alerts — Aikido triage does not flow through GitHub Advanced Security. See that skill for the full list of scope filters, issue_types, and SLA filters (out_of_sla, sla_due_soon).

If the aikido:issues skill is unavailable (the aikido plugin isn't installed or /aikido:setup hasn't run), stop and tell the user rather than proceeding without this data. This applies to Aikido feed triage only — the Dependabot and secret-scanning paths below are GitHub-native and run without Aikido.

GitHub-Native Alerts (Dependabot, Secret Scanning)

Dependabot and GitHub secret scanning are unaffected by the Aikido transition — they remain GitHub-native and are queried separately from the Aikido feed.

Dependabot Alerts

bash
# List open Dependabot alerts
gh api --method GET -H "X-GitHub-Api-Version: 2026-03-10" /repos/{owner}/{repo}/dependabot/alerts --jq '.[] | {number, state, severity: .security_vulnerability.severity, package: .security_vulnerability.package.name, ecosystem: .security_vulnerability.package.ecosystem}'

# Get specific alert details
gh api --method GET -H "X-GitHub-Api-Version: 2026-03-10" /repos/{owner}/{repo}/dependabot/alerts/{alert_number}

Secret Scanning Alerts

bash
# List secret scanning alerts
gh api --method GET -H "X-GitHub-Api-Version: 2026-03-10" /repos/{owner}/{repo}/secret-scanning/alerts --jq '.[] | {number, state, secret_type, created_at}'

Triaging Aikido Findings

Aikido triage is handled through Jira, not through Aikido's own dismissal states or GitHub Advanced Security.

  1. Assess the finding using the False Positive Protocol below.
  2. Resolve the Team field — CODEOWNERS first, then commit history. Flag for human follow-up if it can't be confidently determined.
  3. Determine Severity per the mapping table below, and record the CVSS base score using the v3.0 convention — cite the full vector string in the comment for reproducibility.

Comment Format

Write the Jira triage comment as five labeled paragraphs, in this exact order, not open prose:

  • Finding: what was flagged — source (Aikido/Renovate/SAST/CVE/GHSA/CWE), the specific file/line or package/version, and what was reviewed to write this (repo checkout, decompiled assembly, advisory DB, etc).
  • Declaration: the verdict word first (AFFECTED / NOT AFFECTED / unable to determine), then the technical reasoning/evidence for it — reachability, code path, config, mitigating controls.
  • Effective severity: the severity after analysis, using CVSS v3.0 with the full vector string, called out against the raw feed severity if it changed, with a one-line reason for any adjustment. Include a clickable GitHub blob+line link to the flagged code.
  • Status: current remediation state — merged/unmerged, released/unreleased, what's verified vs. still a gap.
  • Action: concrete next step and ownership/team routing (or "no fix needed").

When one ticket bundles multiple distinct findings (e.g. several XSS sites), use a condensed markdown table with columns Finding | Declaration | Severity/CWE | Owner | Action required instead of repeating the five paragraphs per row.

False Positive Protocol

Before writing a NOT AFFECTED Declaration, verify:

  1. Trace the data flow. Can untrusted input actually reach the flagged sink? Follow it from entry point through every transformation to the flagged location.
  2. Check for existing sanitization. Validation alone is insufficient — sanitizers (which replace threatening values) are preferred over encoding/escaping-free validators (which leave the original value in place). Don't declare NOT AFFECTED on the basis of a validation step alone.
  3. Consider the full lifecycle. Even if the code isn't deployed to a risky environment today, will it be? Private repos may go public. Local deployments may move to cloud. If deploying to production would make it exploitable, treat it as exploitable now.
  4. Document the rationale in the Declaration paragraph. Every NOT AFFECTED verdict needs a clear, reviewable explanation.

If any step is uncertain, declare unable to determine rather than NOT AFFECTED, and route it through the Action field for team review.

Severity Mapping (Jira → Aikido)

The Jira Severity field (Informative, Low, Medium, High, Hotfix) has one more value than Aikido's own severity scale (Critical, High, Medium, Low). When syncing a ticket's severity back to the Aikido issue:

Jira SeverityAikido
HotfixCritical
HighHigh
MediumMedium
LowLow
InformativeIgnore

Informative has no Aikido severity equivalent — set the finding's status to Ignore in Aikido rather than assigning a severity.

Group-Scoped Actions

Aikido findings are organized into issue groups (one group per package or per rule, spanning every repo and occurrence it appears in). A severity-filtered aikido_issues_list pull, or the set of repos named in a Jira ticket, is often only a sample of a group's true membership — not the whole group.

Before recommending or approving any group-level action (adjusting severity, ignoring, snoozing), use aikido_issues_list with no severity or SLA filter to pull the group's full unfiltered membership and diff it against whatever scope prompted the action. If that shows repos or occurrences beyond what was actually verified, either verify those too before acting, or scope the action to the individual verified occurrences rather than the whole group, so unverified occurrences are left untouched. A group-level action is only safe once the unfiltered pull confirms the group's true membership matches what was checked — otherwise it silently mis-triages the unverified occurrences alongside the real ones. This skill only has read access to Aikido (aikido_issues_list); applying the action itself happens in the Aikido dashboard — this step is about verifying scope before that happens, not about calling an API to do it directly.

Ticket Scope Is Pinned at Creation

A group's membership is not static — a later Aikido scan can add new occurrences to a group after its Jira ticket already exists. Don't fold newly-arrived occurrences into an existing ticket's scope. Scope a ticket to the group's membership as of the ticket's creation time; the engineering team may already be working the ticket as originally scoped, and silently widening it moves the ground under them mid-fix.

When a later scan surfaces occurrences beyond an existing ticket's original scope, file a new ticket for those occurrences rather than reopening or expanding the old one. This applies even if it's the same underlying group/package/rule — same group, new ticket, if the new occurrences postdate the original ticket.

Fix Implementation Patterns

Common remediation patterns by vulnerability type:

VulnerabilityWrongRight
SQL InjectionString concatenation in queriesParameterized queries / stored procedures
XSSRaw interpolation in HTMLOutput encoding / framework auto-escaping
Path TraversalDirect use of user-supplied pathsCanonicalize + validate against allowed base path
SSRFDirect use of user-supplied URLsAllowlist of permitted hosts/schemes
Insecure DeserializationDeserializing untrusted input with type infoUse safe serializers, avoid TypeNameHandling.All
Hardcoded SecretsCredentials in source codeEnvironment variables / Azure Key Vault
XXEDefault XML parser settingsDisable DTD processing and external entities

Frequently asked questions

What does the Triaging Security Findings AI skill do?

This skill should be used when the user asks to "triage security findings", "fix an Aikido finding", "review Aikido issues", "dismiss a false positive", "check SAST/IaC alerts", or needs to work with Aikido feed issues, GitHub Dependabot alerts, or GitHub secret scanning alerts.

Why use Triaging Security Findings on TypingMind?

Because you install it once and use it with any model. Triaging Security Findings is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Triaging Security Findings in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bitwarden/ai-plugins/tree/main/plugins/bitwarden-security-engineer/skills/triaging-security-findings. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Triaging Security Findings?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Triaging Security Findings?

As many as you like. As long as a model supports skills, you can use Triaging Security Findings with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Triaging Security Findings AI skill free?

It is published on GitHub by bitwarden. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇