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github

io.github.dingdawg/dingdawg-code-review

AI code review — security, quality, performance. Learns your patterns. Receipted.

1 starsupdated 39d agogithub ↗
37critical
▣ Overview
CILicense: MITPython 3.11+
12 credentials detected in repository history via Gitleaks
▣ Score BreakdownMCPScore = Σ(raw × weight)
DimensionRawWeighted
Security
35%
0
0.0
Freshness
25%
85
21.3
Adoption
20%
3
0.6
Quality
10%
100
10.0
Trust
10%
50
5.0
Total
36.9
⚿ Capabilities & Risk Explainer
fs readfs writenetworkexecevalsecrets
◆ Risk level: high· 25 tools · auth: API key
fs read + fs write + network + exec + eval + secrets active — can execute code, access credentials, and make external network calls.
Tool nameDescriptionDestructive?
agent_create✓ no
agent_get✓ no
agent_list✓ no
agent_update✓ no
agent_delete⚠ yes
+20 more tools
conversation_start✓ no
conversation_message✓ no
conversation_end✓ no
skill_execute⚠ yes
usage_get✓ no
handle_check✓ no
agent_status✓ no
book_appointment✓ no
create_invoice✓ no
manage_contacts✓ no
send_notification✓ no
manage_webhooks✓ no
manage_forms⚠ yes
customer_engagement✓ no
manage_reviews✓ no
referral_program✓ no
manage_inventory✓ no
track_expenses✓ no
business_operations✓ no
data_store✓ no
⚙ Install config
Source-only — no published npm / pypi package detected.
Clone and follow the build instructions in the repo: github.com/dingdawg/dingdawg-agent-1
📈 Score historylast 18 snapshots
5/25/20266/11/2026 · 18 snapshots
⚙ Maintenance health
maintenance data not yet available — check back later.
⛁ Raw data
weekly downloads0
github stars1
forks0
open issues0
license✓ present
readme length3248 chars
last publish26d ago
last commit39d ago
last updated1d ago
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io.github.dingdawg/dingdawg-code-review — MCP Score: 37/100 | MCPScore | Timeahead