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event4u-app/agent-config/src/skills/analysis-autonomous-mode/SKILL.md

analysis-autonomous-mode

ONLY when user explicitly requests autonomous analysis, deep investigation, multi-step research, or 'dig into this end-to-end without asking me each step' — NOT for normal feature work.

Source repository stars
7
Declared platforms
0
Static risk flags
0
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

ONLY when user explicitly requests autonomous analysis, deep investigation, multi-step research, or 'dig into this end-to-end without asking me each step' — NOT for normal feature work.

Best for

  • A broad investigation is needed and the right analysis path is unclear
  • Multiple problem classes may be involved (bugs + performance + security)
  • The user asks for a full project audit or deep investigation

Not for

  • Tasks that require unconfirmed production actions or broad system permissions.
  • Environments where the pinned source and install steps cannot be inspected.

Compatibility matrix

Platform support, with evidence labels

PlatformStatusEvidenceWhat to check
CodexNot declaredNo explicit evidencePortability before use
Claude CodeNot declaredNo explicit evidencePortability before use
CursorNot declaredNo explicit evidencePortability before use
Gemini CLINot declaredNo explicit evidencePortability before use
Open the compatibility checker

Installation

Inspect first. Install second.

The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

Source-detected install commandSource
npx skills add https://github.com/event4u-app/agent-config --skill "src/skills/analysis-autonomous-mode"
Safe inspection promptEditorial

Inspect the Agent Skill "analysis-autonomous-mode" from https://github.com/event4u-app/agent-config/blob/0adf49a8ae84b0ff6e2de8759eea43257e020eff/src/skills/analysis-autonomous-mode/SKILL.md at commit 0adf49a8ae84b0ff6e2de8759eea43257e020eff. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

Workflow

What the source asks the agent to do

  1. 01

    Phase 2 — Establish context before specializing

    Before activating any specialist:

    Detect stack and frameworkDetect exact versions (composer.lock, package-lock.json)Identify key packages
  2. 02

    Phase 3 — Activate specialist(s)

    Route to the primary skill. Monitor findings for signals to chain additional skills:

    Bug found during performance analysis → chain bug-analyzerPackage misuse found during bug hunting → chain universal-project-analysisAuth weakness found during code review → chain security-audit
  3. 03

    Phase 4 — Synthesize findings

    Merge all specialist findings into ONE prioritized output:

    Confirmed root causes (with evidence)Contributing factorsRisks not yet proven but worth checking
  4. 04

    Procedure: Autonomous investigation loop

    Constraint: attack the biggest unknown first (not breadth-first). Repeat until confident:

    Route the right specialist skill at the largest gap in your understanding.Inspect the result against the question; narrow or broaden scope.Once confident, synthesize and present — otherwise return to step 1.
  5. 05

    Mission

    Act as an autonomous engineering system that coordinates specialist analysis skills.

    Act as an autonomous engineering system that coordinates specialist analysis skills.You are the brain — you decide WHAT to analyze, WHICH skill to activate, WHEN to switch strategies, and HOW to synthesize findings into actionable results.You do NOT perform deep analysis yourself. You route to specialists and merge their output.

Permission review

Static risk signals and limitations

No configured static risk pattern was detected

This is not proof of safety. Runtime behavior, indirect dependencies, and hidden external systems are outside the static scan.

Evidence record

Why each signal appears

EvidenceSourceComputedTestedEditorial
SignalValueEvidence typeMeaning
Quality score87/100ComputedDocumentation, specificity, maintenance, and trust rules
Repository stars7SourceRepository attention, not individual Skill quality
Compatibility0 platformsSourceDeclared in the catalog source record
Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

Pinned source

Provenance and original SKILL.md

Repository
event4u-app/agent-config
Skill path
src/skills/analysis-autonomous-mode/SKILL.md
Commit
0adf49a8ae84b0ff6e2de8759eea43257e020eff
License
MIT
Collected
2026-07-28
Default branch
main
View the original SKILL.md

analysis-autonomous-mode

Mission

Act as an autonomous engineering system that coordinates specialist analysis skills.

You are the brain — you decide WHAT to analyze, WHICH skill to activate, WHEN to switch strategies, and HOW to synthesize findings into actionable results.

You do NOT perform deep analysis yourself. You route to specialists and merge their output.

When to use

Use this skill when:

  • A broad investigation is needed and the right analysis path is unclear
  • Multiple problem classes may be involved (bugs + performance + security)
  • The user asks for a full project audit or deep investigation
  • You need to coordinate multiple analysis passes without duplication

Do NOT use when:

  • Only one narrow skill is clearly needed (use it directly)
  • A small isolated code change with fully known context
  • Writing code, tests, or documentation (use the appropriate skill)

Routing

Always use analysis-skill-router first to decide which analysis skill handles the request.

The router selects by scope, framework, and problem shape. Key routes:

ScopeRoute to
Unknown system / full audituniversal-project-analysis
Discovery-focusedproject-analysis-core
Root-cause / multi-hypothesisproject-analysis-hypothesis-driven
Laravelproject-analysis-laravel
Symfonyproject-analysis-symfony
Zend/Laminasproject-analysis-zend-laminas
Node/Expressproject-analysis-node-express
Reactproject-analysis-react
Next.jsproject-analysis-nextjs
Bug-focusedbug-analyzer
Performance bottleneckperformance-analysis
Security concernsecurity-audit
Documentationproject-analyzer

Rule: Route to the narrowest matching skill. Do NOT default to universal-project-analysis.

Phase 2 — Establish context before specializing

Before activating any specialist:

  1. Detect stack and framework
  2. Detect exact versions (composer.lock, package-lock.json)
  3. Identify key packages
  4. Identify entrypoints and affected flow
  5. Read project docs (AGENTS.md, agents/, module docs)
  6. If no obvious README → search for .md files (find . -name "*.md" -maxdepth 3) — docs are sometimes hidden in non-standard locations

Never send a specialist in blind.

Phase 3 — Activate specialist(s)

Route to the primary skill. Monitor findings for signals to chain additional skills:

  • Bug found during performance analysis → chain bug-analyzer
  • Package misuse found during bug hunting → chain universal-project-analysis
  • Auth weakness found during code review → chain security-audit
  • N+1 query found during bug analysis → chain performance-analysis

Phase 4 — Synthesize findings

Merge all specialist findings into ONE prioritized output:

  1. Confirmed root causes (with evidence)
  2. Contributing factors
  3. Risks not yet proven but worth checking
  4. Concrete fixes (ordered by priority)
  5. Recommended next steps

Never dump isolated observations without synthesis.

Procedure: Autonomous investigation loop

Constraint: attack the biggest unknown first (not breadth-first). Repeat until confident:

  1. Route the right specialist skill at the largest gap in your understanding.
  2. Inspect the result against the question; narrow or broaden scope.
  3. Once confident, synthesize and present — otherwise return to step 1.

Adaptation rules

SignalAction
Hypothesis failsPivot — try alternative explanation
New evidence appearsRe-evaluate all conclusions
Stuck in one skillBroaden — switch to universal-project-analysis
Clear pattern recognizedNarrow — go deep with the right specialist
3 failed attemptsStop — summarize state, ask user for direction

Learning from past analyses

After completing an investigation, extract reusable patterns:

  • Root cause type — classify (config issue, version mismatch, package misuse, async bug, etc.)
  • Detection signal — what symptom led to the root cause?
  • Framework-specific — is this a known pattern for this framework version?

When starting a NEW investigation, compare against known patterns:

  • If similar symptoms → suggest likely root cause early
  • If same framework + version → check known pitfalls first
  • If same package → check changelog and known issues first

This accelerates future investigations and reduces repeated mistakes.

Escalation rules

Narrow → Broad when:

  • Focused path cannot explain the symptom
  • Framework/package assumptions are unverified
  • Issue spans architecture boundaries
  • Evidence suggests multiple interacting causes

Broad → Narrow when:

  • Enough context exists to test a focused hypothesis
  • Symptoms clearly point to one problem class
  • Code and docs reveal likely failure mechanism

Conflict resolution

When specialist findings conflict:

  1. Trust direct code evidence over assumptions
  2. Trust version-specific official docs over memory
  3. Trust reproducible execution logic over generic best practices
  4. Separate confirmed facts from plausible hypotheses
  5. Explicitly mark uncertainty instead of forcing a conclusion

Output format

  1. Produce one report covering the five subsections below; no narration outside the report.
  2. Every finding must cite file paths or stack/version evidence; mark unverified items as Contributing Risks, not Confirmed Findings.
  3. Close with a Recommended Fix Order; prioritize by production impact → exploitability → user-facing breakage → effort vs value.

Investigation Summary

  • What was analyzed, which skills were used, why

System Context

  • Stack, framework + version, key packages, affected flow

Confirmed Findings

For each finding: Issue / Severity / Root Cause / Evidence / Fix / Confidence

Contributing Risks

Plausible but not fully confirmed concerns.

Recommended Fix Order

Prioritized by: production impact → exploitability → user-facing breakage → effort vs value

Gotcha

  • Don't run autonomously for more than 10 steps without checking in with the user.
  • The model tends to go deep on one branch instead of exploring breadth-first — force yourself to consider alternatives.
  • Save intermediate findings — if the context resets, all analysis is lost.

Do NOT

  • Do NOT perform deep analysis yourself — route to specialists
  • Do NOT run every skill by default without a reason
  • Do NOT stay in one skill when evidence points elsewhere
  • Do NOT mix confirmed findings with guesses
  • Do NOT output fragmented observations without synthesis
  • Do NOT follow a fixed workflow blindly — adapt to what you learn
  • Do NOT stop after the first explanation — verify it

References

  • Self-Refinearxiv.org/abs/2303.17651 Iterative self-improvement through self-generated feedback. This skill adapts the pattern by routing the critique step to domain specialists instead of a monolithic self-critique.

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