Creator ยท thedotmack
Last updated ยท Sep 2, 2026
Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus pe
Sandbox only
Install targets
Codex install prompt
Install the "pathfinder" agent skill from https://github.com/thedotmack/claude-mem/tree/main/plugin/skills/pathfinder. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {"event_id":"install_<unique-id>","skill_slug":"thedotmack-pathfinder","task":"Install pathfinder","agent":"codex","outcome":"success","install_used":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.Supply asset profile
Deep research, source comparison, literature review, RAG, knowledge search, and reports.
Scenario
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Agent fit
Claude Code + CLI + Codex
Codex, Claude Code, Cursor, CLI, or custom agents.
Install
Ready
npx skills add thedotmack/claude-mem --skill pathfinder
Maintenance
fresh
5d since push
Risk
Needs review
Dependency or permission surface needs review
GitHub quality
93K
95/100 Quality ยท 82/100 Trust
Coverage tags
Review notes
Dependency or permission surface needs review ยท Permission surface may require sandboxing
Agent adoption scorecard
These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.
Quality
ExcellentHigh-confidence pick with strong adoption and healthy maintenance signals.
Trust
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
OpenAgentSkill Trust Score v5
Run only in a sandbox and compare close alternatives before using it for real work.
Stars
93K GitHub stars
Repo activity
93K stars, 8.2K forks
Maintenance
5d since push
License
Apache-2.0
Install
npx skills add thedotmack/claude-mem --skill pathfinder
Install safety
Agent-readable metadata
Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.
Suited tasks
Suited agents
Install decision
Trust and risk
Outcome loop
Install command
npx skills add thedotmack/claude-mem --skill pathfinderDo not use when
Agent safety v2
Sparse or mixed signals. Useful for discovery, but not for autonomous installation.
Test manually in an isolated workspace and compare against safer alternatives.
high
Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.
medium
Skill likely fetches remote pages, APIs, repositories, or external services.
medium
Skill may read or write project files, documents, generated artifacts, or local workspace state.
medium
Skill may inspect schemas, query databases, or work with persistent stores.
Agent resolve plan
The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.
Open JSON
/api/agent/resolve?task=Use%20pathfinder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20pathfinder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/thedotmack-pathfinder/install
Agent should check
Copy prompt
Task: Use pathfinder in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20pathfinder%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/thedotmack-pathfinder/install
Install command: npx skills add thedotmack/claude-mem --skill pathfinder
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.Agent handoff
Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.
Install handoff
/api/skills/thedotmack-pathfinder/install
LLM text format
/api/skills/thedotmack-pathfinder/install?format=text
Find alternatives
/api/skills/search?q=pathfinder&limit=3
Agent prompt
Use pathfinder for this task. Review https://www.openagentskill.com/api/skills/thedotmack-pathfinder/install, then install with: npx skills add thedotmack/claude-mem --skill pathfinderRegistry metadata
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
Manifest
/api/registry/manifest/thedotmack-pathfinder
LLM text
/api/registry/manifest/thedotmack-pathfinder?format=text
Install alias
/api/registry/install/thedotmack-pathfinder
Recommend
/api/registry/recommend?task=Use%20pathfinder%20in%20an%20agent%20workflow&limit=3
Agent fit
Research agents
Use-case tags
Platforms
Claude Code
Audit report
A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.
Agent decision cockpit
Use this as a leading candidate, then validate the README and install path in your own agent stack.
Role in stack
Primary pick
Primary fit
Research agents
Trust label
Production-ready
Install path
Command ready
Use when
Evidence
review first
Implementation path
Trust profile
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
GitHub adoption
PASS93K GitHub stars
Stars/forks activity
PASS93K stars, 8.2K forks; issue activity unavailable in current metadata
Recent maintenance
PASS5d since push
License clarity
PASSApache-2.0
Good signals
Review before install
Recommended action
Run only in a sandbox and compare close alternatives before using it for real work.
Quality profile
High-confidence pick with strong adoption and healthy maintenance signals.
Workflow fit
Investigate faster
I need my agent to research a topic, compare sources, and produce a concise report.
Parse messy files
I need my agent to read PDFs, extract tables, and turn documents into structured data.
Manage repositories
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Workflow fit
Find, compare, and synthesize
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Inspect, patch, and verify code
A workflow for software agents that inspect repositories, review pull requests, generate tests, and turn findings into shippable patches.
Ingest, retrieve, and cite
A workflow for document-heavy agents that ingest files, create searchable knowledge, retrieve relevant context, and answer with grounded sources.
Alternative shortlist
Similar skills that may fit this task.
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical is the open-source platform for secrets, certificates, and privileged access management.
--- name: pathfinder description: Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features, and propose a unified architecture. Use when asked to "find the ideal path," unify duplicated systems, or audit architecture before a refactor. Emits a proposed unified flowchart plus per-system /make-plan prompts. ---
# Pathfinder
You are an ORCHESTRATOR. Map the codebase into feature-grouped flowcharts, identify duplicated concerns, propose the simplest unified architecture, and hand off per-system plans to `/make-plan`.
You do not write implementation code. You produce diagrams, a duplication report, a proposed unified flowchart, and handoff prompts.
## Delegation Model
Use subagents for *discovery and extraction* (file reading, flow tracing, grep, diagramming). Keep *synthesis* (deciding feature boundaries, picking unification strategies, final flowchart) with the orchestrator. Reject subagent reports that lack source citations and redeploy.
### Subagent Reporting Contract (MANDATORY)
Each subagent response must include: 1. Sources consulted โ exact file paths and line ranges read 2. Concrete findings โ exact function names, call sites, data flow 3. Mermaid diagram(s) with nodes labeled by `file:line` 4. Confidence note + known gaps
## Output Artifacts
All artifacts go in `PATHFINDER-<YYYY-MM-DD>/` at repo root: - `00-features.md` โ feature inventory with boundaries - `01-flowcharts/<feature>.md` โ one Mermaid flowchart per feature - `02-duplication-report.md` โ cross-cutting duplicated concerns with evidence - `03-unified-proposal.md` โ proposed unified architecture + Mermaid - `04-handoff-prompts.md` โ copy-pasteable `/make-plan` prompts per unified system
## Phases
### Phase 0: Feature Discovery (ALWAYS FIRST)
Deploy ONE "Feature Discovery" subagent to: 1. Walk the source tree (not built artifacts) and read top-level README / CLAUDE.md 2. Propose feature boundaries based on directory structure, import graph, and naming 3. Return a flat list of features with: name, entry points (file:line), core files, brief purpose
Orchestrator reviews the proposal, adjusts boundaries if needed, writes `00-features.md`. Do NOT fan out until feature boundaries are approved.
### Phase 1: Per-Feature Flowcharts (FAN OUT)
Deploy ONE "Flowchart" subagent per feature in parallel. Each receives only its feature's scope. Each must: 1. Trace the feature's primary happy path from entry point to terminal state 2. Identify side effects (DB writes, HTTP calls, file I/O, process spawns) 3. Note error and fallback branches but do not let them dominate the diagram 4. Produce a Mermaid `flowchart TD` with every node labeled `Name<br/>file:line` 5. List external dependencies (other features it calls into) at the bottom
Orchestrator writes each flowchart to `01-flowcharts/<feature>.md`. Reject any diagram missing `file:line` labels.
### Phase 2: Duplication Hunt
Deploy TWO subagents in parallel:
**"Within-Feature Duplication"** subagent: - For each feature, find repeated code/logic patterns inside the feature only - Report only duplications worth consolidating (ignore trivial repetition)
**"Cross-Feature Duplication"** subagent: - Compare flowcharts across features for concerns that appear in multiple places - Examples of what to look for: multiple capture paths, parallel queue implementations, duplicated storage/migration code, repeated agent scaffolding, parallel parsing layers - For each duplication, report: (a) the concern, (b) every location with `file:line`, (c) why they diverged, (d) whether the divergence is legitimate specialization or accidental
Orchestrator synthesizes both into `02-duplication-report.md`. Every duplication claim must cite โฅ2 `file:line` locations.
### Phase 3: Unified Proposal (ORCHESTRATOR)
The orchestrator writes `03-unified-proposal.md` itself โ do not delegate synthesis.
For each duplicated concern from Phase 2 that is NOT legitimate specialization: 1. Propose the simplest unified design (one path, one store, one handler โ whatever applies) 2. Name the consolidated component and its single entry point 3. Show what each old call site becomes 4. Call out any loss of capability and whether it's acceptable
End the document with ONE combined Mermaid flowchart showing the proposed unified system. Nodes still labeled with target `file:line` (new or existing) where knowable.
**Anti-patterns to reject in your own proposal:** - Adding a new abstraction layer "for flexibility" - Keeping both old paths behind a feature flag - Introducing a registry/factory when a switch statement suffices - Preserving divergent behavior "just in case"
### Phase 4: Per-System Handoff Prompts
For each unified system in the proposal, write a ready-to-run `/make-plan` prompt to `04-handoff-prompts.md`. Each prompt must: 1. State the target unified component and its single entry point 2. List the exact call sites to rewrite (from Phase 2 evidence) 3. Cite the relevant flowchart file from `01-flowcharts/` 4. Include anti-pattern guards specific to this system
Format each as a fenced code block the user can copy directly into `/make-plan`.
## Key Principles
- **Evidence over intuition** โ every diagram node and duplication claim cites `file:line` - **Current state before ideal state** โ Phases 0โ2 describe what IS; Phase 3 describes what SHOULD BE - **Simplest unification wins** โ prefer deletion over abstraction; prefer one path over configurable paths - **Specialization is not duplication** โ two components serving different trust models or data sources are legitimate even if their code looks similar - **Handoff, don't implement** โ Pathfinder ends at plan prompts; `/make-plan` and `/do` take it from there
## Failure Modes to Prevent
- Drawing flowcharts from memory instead of source โ redeploy subagent with grep evidence requirement - Proposing unification of legitimately specialized components โ re-examine trust/data-source divergence - Handoff prompts that lack concrete call sites โ rewrite with Phase 2 evidence - Skipping Phase 0 boundary review โ fanning out on bad feature boundaries wastes all of Phase 1
Source provenance
Decision snapshot
93,016 GitHub stars
Audit
Install and adoption review
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.
Install
Free and open source. Review the report before installing into production agents.
Growth loop
Scenario-led draft for pathfinder, ready for a manual X post.
pathfinder: Map a codebase into feature-grouped flowcharts, identify duplicated concerns across features,... 93.0K stars https://www.openagentskill.com/skills/thedotmack-pathfinder?ref=x
Listing + install path for pathfinder: https://www.openagentskill.com/skills/thedotmack-pathfinder?ref=x Install: npx skills add thedotmack/claude-mem --skill pathfinder
Listing source
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.
Claim this skillOwner claim
This Registry indexed listing is attributed to thedotmack but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.
Creator backlink kit
Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.
[](https://www.openagentskill.com/skills/thedotmack-pathfinder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-pathfinder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)
[](https://www.openagentskill.com/skills/thedotmack-pathfinder/audit)
[](https://www.openagentskill.com/skills/thedotmack-pathfinder?ref=github&utm_source=github&utm_medium=referral&utm_campaign=creator_badge)thedotmack
@thedotmack
Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.
Sandbox only
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
16.3K StarsMaigret
๐ต๏ธโโ๏ธ Collect a dossier on a person by username from 3000+ sites
32.9K StarsNuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
29.2K StarsInfisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
27.4K StarsPermission surface
shell or command execution, filesystem or document access
Agent outcomes
No agent outcome data yet
Docs
Strong README/SKILL.md context
Risk summary
Install readiness