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SKILL verified MIT Self-run

Hk Follow Breadcrumb

skill-deepklarity-harness-kit-hk-follow-breadcrumb · by deepklarity

Consults existing breadcrumb analysis docs before exploring the codebase. Use this skill whenever the user asks about how a flow works, where something happens in the code, how to debug or test a specific area, what files are involved in a feature, or needs to understand the path data takes through the system. Also trigger when the user mentions 'where does X happen', 'how does Y work', 'trace th…

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Install

$ agentstack add skill-deepklarity-harness-kit-hk-follow-breadcrumb

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No 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.

View the full security report →

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Reliability & compatibility

Security review passed
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no reviews yet
27d ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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 →
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About

/hk-follow-breadcrumb — Breadcrumb-First Exploration

This skill is about reading before searching. The docs/breadcrumb_analysis/ directory contains end-to-end workflow traces that have already been carefully researched and documented. Loading a relevant breadcrumb takes seconds and costs a fraction of what spawning exploration subagents costs. The breadcrumb docs are maintained alongside code changes, so they're the most reliable "map" of how flows work.

Context

$ARGUMENTS

If the context above is empty, look at what the user is asking about in the conversation and infer the exploration target.

Step 1: Load the index

Read docs/breadcrumb_analysis/_INDEX.md. This is the single source of truth for what's been documented.

The index has two sections that matter:

  1. Flows table — lists every breadcrumb folder and what it traces. Scan this to find which breadcrumb(s) cover the user's question.
  2. Quick navigation — maps common symptoms (e.g., "task stuck in IN_PROGRESS", "screenshots not showing") directly to the right DEBUG.md. If the user describes a symptom, check here first.

Step 2: Match the question to breadcrumbs

Compare what the user is asking against the index entries. There are three outcomes:

A. Direct hit — a breadcrumb covers exactly this flow

Load the relevant docs in order of increasing detail:

  1. FLOW.md — Read this first. It's the high-level map (30-second read). Shows the path data takes, which files/functions are involved at each hop, and where branches occur. This alone often answers "where does X happen?" questions.
  1. DETAILS.md — Read this if the user needs function-level specifics: what data goes in/out, what conditionals change behavior, what side effects exist. This answers "how does X work?" questions.
  1. DEBUG.md — Read this if the user is debugging something broken, or wants to know how to test a flow. Contains log locations, grep patterns, quick commands, env vars, and common breakpoints. This answers "how do I debug/test X?" questions.

Don't load all three by default. Start with FLOW.md. Only go deeper if the user's question requires it. Present what you found and ask if they need more detail.

B. Partial coverage — a breadcrumb covers part of the flow

Load the relevant breadcrumb for the covered portion. Then clearly tell the user:

The breadcrumb for  covers  of what you're asking about.
For , I'll need to explore the code directly.

Then explore only the gaps — don't re-trace what the breadcrumb already documents.

C. No coverage — nothing in the index matches

Tell the user:

No existing breadcrumb covers this flow. I'll explore the code directly.
Consider running /hk-breadcrumb-creator afterward to document this flow for next time.

Then proceed with normal exploration (grep, glob, file reads, subagents as needed).

Step 3: Present findings

After loading the relevant breadcrumb docs, synthesize an answer to the user's actual question. Don't just dump the breadcrumb content — extract the specific information they need.

Good response pattern:

Based on the breadcrumb for :

The key files involved are:
- `path/to/file.py` :: `function()` — 
- `path/to/other.py` :: `other_func()` — 

 Quick commands from the debug guide:

If the breadcrumb is stale (references files/functions that no longer exist), note which parts seem outdated and verify those specific points against the current code. Flag this to the user so the breadcrumb can be updated.

Step 4: Suggest breadcrumb creation for gaps

If the user's exploration uncovered a flow that isn't documented (outcome C), or revealed that an existing breadcrumb is incomplete (outcome B with significant gaps), suggest:

This flow isn't documented in breadcrumb analysis yet. Want me to create one?
Run /hk-breadcrumb-creator to trace and document it for future reference.

This closes the loop — exploration that finds undocumented territory feeds back into the documentation system.

When NOT to use this skill

  • Single-file questions — "What does function_name in file.py do?" → Just read the file directly.
  • Creating new breadcrumbs — Use /hk-breadcrumb-creator instead. This skill reads; that one writes.
  • General codebase search — "Find all TODO comments" → Just grep. Breadcrumbs trace flows, not search for patterns.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.