Install
$ agentstack add skill-athola-claude-night-market-call-chain ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo 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.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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 →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=$(find ~/.claude/plugins -name "graph_query.py" -path "*/gauntlet/*" 2>/dev/null | head -1)
If gauntlet is not installed: Fall back to static analysis. Use grep to trace function calls and build a Mermaid diagram manually from import/call patterns. Skip graph-specific steps.
If installed but no graph.db: Tell the user to run /gauntlet-graph build.
Steps
- Accept target: Get a function name or entry point
from the user (or trace all entry points).
- Run flow tracing (requires gauntlet):
``bash python3 "$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.
- Display as indented tree:
`` main() [criticality: 0.72] -> validate_input() -> parse_config() -> process_data() -> db.execute_query() -> cache.store() -> send_response() ``
- 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 ``
- 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 LRgenerated 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.dbis 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.
- Author: athola
- Source: athola/claude-night-market
- License: MIT
- Homepage: https://athola.github.io/claude-night-market
Install and usage instructions live in the source repository linked above.
Reviews
No reviews yet, be the first.
Write a review
Versions
- v0.1.0 Imported from the upstream source.