AgentStack
Browse Sign in
Browse Why AgentStack Sell Docs
Sign in
SKILL verified MIT Self-run

Call Chain

skill-athola-claude-night-market-call-chain · by athola

Traces execution paths through the code graph with criticality scoring and Mermaid charts. Use when understanding how a function propagates through the system.

No reviews yet
0 installs
35 views
0.0% view→install

Install

$ agentstack add skill-athola-claude-night-market-call-chain

✓ 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 →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/skill-athola-claude-night-market-call-chain)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
2mo 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 →
Are you the author of Call Chain? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Call Chain Tracing

Trace execution flows through the codebase using the code knowledge graph.

Prerequisites

This skill requires the gauntlet plugin for graph data. Discover it:

GRAPH_QUERY=$(find ~/.claude/plugins -name "graph_query.py" -path "*/gauntlet/*" 2>/dev/null | head -1)

If gauntlet is not installed: Fall back to static analysis. Use grep to trace function calls and build a Mermaid diagram manually from import/call patterns. Skip graph-specific steps.

If installed but no graph.db: Tell the user to run /gauntlet-graph build.

Steps

  1. Accept target: Get a function name or entry point

from the user (or trace all entry points).

  1. Run flow tracing (requires gauntlet):

``bash python3 "$GRAPH_QUERY" --action flows --depth 15 ``

To filter by entry point: ``bash python3 "$GRAPH_QUERY" --action flows --entry "main" ``

Fallback (no gauntlet): Trace calls with rg (or grep): ``bash # Prefer rg (ripgrep) for speed; fall back to grep if command -v rg &>/dev/null; then rg -n "function_name\(" --type py . | head -20 else grep -rn "function_name(" --include="*.py" . | head -20 fi `` Build the call tree manually from search results.

  1. Display as indented tree:

`` main() [criticality: 0.72] -> validate_input() -> parse_config() -> process_data() -> db.execute_query() -> cache.store() -> send_response() ``

  1. Generate Mermaid flowchart:

``mermaid flowchart LR main --> validate_input main --> process_data main --> send_response validate_input --> parse_config process_data --> db.execute_query process_data --> cache.store ``

  1. Show criticality breakdown:
  • File spread: how many files the flow touches
  • Security sensitivity: auth/crypto code in the path
  • Test coverage gaps: untested nodes in the flow

Criticality Scoring

| Factor | Weight | Meaning | |--------|--------|---------| | File spread | 0.30 | Touches many files | | Security | 0.25 | Contains auth/crypto code | | External calls | 0.20 | Unresolved dependencies | | Test gap | 0.15 | Untested nodes in flow | | Depth | 0.10 | Deep call chains |

Exit Criteria

  • [ ] Indented call tree displayed for the target function with

criticality scores in the form [criticality: N.NN]

  • [ ] Mermaid flowchart LR generated with edges representing

each caller-to-callee relationship in the traced path

  • [ ] Criticality breakdown table shown covering: file spread,

security sensitivity, external calls, test gap, and depth

  • [ ] If gauntlet is not installed, fallback to static rg/grep

analysis is used and the absence of graph data is noted

  • [ ] If gauntlet is installed but graph.db is absent, user is

told to run /gauntlet-graph build before the skill halts

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.

Reviews

No reviews yet, be the first.

Versions

  • v0.1.0 Imported from the upstream source.