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Managing Statsig
ASecurityUse when working with Statsig — statsig feature gate management, dynamic configs, experiment analysis, and metric tracking. Covers gate configuration, rule-based targeting, holdout groups, A/B test results, pulse metrics, and layer management. Use when managing feature gates, reviewing experiment results, analyzing metric lifts, or configuring dynamic configs in Statsig.
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- Added September 8, 2026
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[](https://www.skillsdirectory.com/skills/cloudthinker-ai-managing-statsig)---
name: managing-statsig
description: |
Use when working with Statsig — statsig feature gate management, dynamic
configs, experiment analysis, and metric tracking. Covers gate configuration,
rule-based targeting, holdout groups, A/B test results, pulse metrics, and
layer management. Use when managing feature gates, reviewing experiment
results, analyzing metric lifts, or configuring dynamic configs in Statsig.
connection_type: statsig
preload: false
---
# Statsig Management Skill
Manage and analyze feature gates, experiments, dynamic configs, and metrics in Statsig.
## API Conventions
### Authentication
All API calls use the `statsig-api-key: $STATSIG_CONSOLE_API_KEY` header (Console API key). Never hardcode tokens.
### Base URL
`https://statsigapi.net/console/v1`
### Core Helper Function
```bash
#!/bin/bash
statsig_api() {
local method="$1"
local endpoint="$2"
local data="${3:-}"
if [ -n "$data" ]; then
curl -s -X "$method" \
-H "statsig-api-key: $STATSIG_CONSOLE_API_KEY" \
-H "Content-Type: application/json" \
"https://statsigapi.net/console/v1${endpoint}" \
-d "$data"
else
curl -s -X "$method" \
-H "statsig-api-key: $STATSIG_CONSOLE_API_KEY" \
-H "Content-Type: application/json" \
"https://statsigapi.net/console/v1${endpoint}"
fi
}
```
## Output Rules
- **TOKEN EFFICIENCY**: Extract only needed fields with `jq`
- Target <=50 lines per script output
- Never dump full API responses
## Discovery Phase
### List Gates and Configs
```bash
#!/bin/bash
echo "=== Feature Gates ==="
statsig_api GET "/gates" \
| jq -r '.data[] | "\(.isEnabled)\t\(.name)\t\(.rules | length) rules"' | column -t | head -25
echo ""
echo "=== Dynamic Configs ==="
statsig_api GET "/dynamic_configs" \
| jq -r '.data[] | "\(.isEnabled)\t\(.name)"' | column -t | head -15
```
### List Experiments
```bash
#!/bin/bash
echo "=== Experiments ==="
statsig_api GET "/experiments" \
| jq -r '.data[] | "\(.status)\t\(.name[0:40])\t\(.groups | length) groups"' | column -t | head -20
echo ""
echo "=== Experiment Status Summary ==="
statsig_api GET "/experiments" \
| jq -r '.data[] | .status' | sort | uniq -c | sort -rn
```
## Analysis Phase
### Gate Details
```bash
#!/bin/bash
GATE_NAME="${1:?Gate name required}"
echo "=== Gate Details ==="
statsig_api GET "/gates/${GATE_NAME}" \
| jq '.data | {name, isEnabled, description: .description[0:100], rules: [.rules[] | {name, passPercentage, conditions: (.conditions | length)}]}'
```
### Experiment Results
```bash
#!/bin/bash
EXPERIMENT_NAME="${1:?Experiment name required}"
echo "=== Experiment Details ==="
statsig_api GET "/experiments/${EXPERIMENT_NAME}" \
| jq '.data | {name, status, hypothesis: .hypothesis[0:100], groups: [.groups[].name], primaryMetrics: .primaryMetrics}'
echo ""
echo "=== Pulse Results ==="
statsig_api GET "/experiments/${EXPERIMENT_NAME}/pulse" \
| jq -r '.data.results[0:10][] | "\(.metric_name[0:30])\t\(.test_group)\tlifted:\(.lift // "pending")\tp:\(.p_value // "pending")"' \
| column -t 2>/dev/null || echo "Results not yet available"
```
### Layers
```bash
#!/bin/bash
echo "=== Layers ==="
statsig_api GET "/layers" \
| jq -r '.data[] | "\(.name)\t\(.experiments | length) experiments"' | column -t | head -15
echo ""
echo "=== Holdout Groups ==="
statsig_api GET "/holdouts" \
| jq -r '.data[] | "\(.isEnabled)\t\(.name)\t\(.holdoutPercentage)%"' | column -t
```
## Output Format
- Use tab-separated columns with `column -t`
- Limit lists to 15-25 items
- Show summaries before details
## Anti-Hallucination Rules
1. **NEVER assume resource names** — always discover via CLI/API in Phase 1 before referencing in Phase 2.
2. **NEVER fabricate metric names or dimensions** — verify against the service documentation or `--help` output.
3. **NEVER mix CLI commands between service versions** — confirm which version/API you are targeting.
4. **ALWAYS use the discovery → verify → analyze chain** — every resource referenced must have been discovered first.
5. **ALWAYS handle empty results gracefully** — an empty response is valid data, not an error to retry.
## Counter-Rationalizations
| Shortcut | Counter | Why |
|----------|---------|-----|
| "I'll skip discovery and check known resources" | Always run Phase 1 discovery first | Resource names change, new resources appear — assumed names cause errors |
| "The user only asked for a quick check" | Follow the full discovery → analysis flow | Quick checks miss critical issues; structured analysis catches silent failures |
| "Default configuration is probably fine" | Audit configuration explicitly | Defaults often leave logging, security, and optimization features disabled |
| "Metrics aren't needed for this" | Always check relevant metrics when available | API/CLI responses show current state; metrics reveal trends and intermittent issues |
| "I don't have access to that" | Try the command and report the actual error | Assumed permission failures prevent useful investigation; actual errors are informative |
## Common Pitfalls
- **Console vs server API**: Console API (`statsig-api-key` header) for management; Server API for evaluation
- **Gate rules**: Rules are evaluated top-to-bottom, first matching rule wins
- **Layers**: Layers allow mutually exclusive experiments -- users assigned to one experiment per layer
- **Holdouts**: Holdout groups exclude users from all experiments for measurement
- **Pulse**: Experiment results are in the pulse endpoint -- may take time to compute
- **Rate limits**: Console API has rate limits -- check response headers
Attribution
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