Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/Kanevry/session-orchestratorWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/rules/kanevry/session-orchestrator/080-ecosystem-health)<a href="https://agentmods.dev/rules/kanevry/session-orchestrator/080-ecosystem-health"><img src="https://agentmods.dev/badge/rules/kanevry/session-orchestrator/080-ecosystem-health.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00017 | $0.01003 |
| Opus 5 | $0.00009 | $0.00502 |
| Sonnet 5 | $0.00003 | $0.00201 |
| Haiku 4.5 | $0.00002 | $0.00100 |
Grade C, and why
080-ecosystem-health scanned grade C with 2 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -sf <url> 2>/dev/null | python3 -c " Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -sf <url> 2>/dev/null && echo "<name>: UP" || echo "<name>: DOWN" How it starts
The opening of the file, as written. The whole thing — 146 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ecosystem Health Check
Monitor health across configured service endpoints, CI pipelines, and critical issues. Automatically invoked during session-start when ecosystem-health is enabled in Session Config.
Session Config Fields
This skill reads from the project's ## Session Config section:
health-endpoints-- list of{name, url}objects for service health checkscross-repos-- list of related repositories for critical issue scanning
Both fields are optional. The skill degrades gracefully when either is missing.
1. Service Health
Read health-endpoints from Session Config. If not configured or empty:
"No health endpoints configured in Session Config. Add
health-endpointsto enable service monitoring."
Skip this section and proceed to CI Pipeline Status.
Health Check Procedure
For each configured endpoint:
# Example config:
# health-endpoints:
# - name: API
# url: https://api.example.com/health
# - name: Worker
# url: http://worker:8080/healthz
# Basic check
curl -sf <url> 2>/dev/null && echo "<name>: UP" || echo "<name>: DOWN"
# If endpoint returns JSON with a "status" field, extract it:
curl -sf <url> 2>/dev/null | python3 -c "
import json,sys
d=json.load(sys.stdin)
print(f'<name>: {d.get(\"status\",\"OK\")}')
" 2>/dev/null || echo "<name>: DOWN"
Generate check commands dynamically from config. Never hardcode service names or URLs.
Status Classification
| Status | Meaning |
|---|---|
| UP | Endpoint responded successfully |
| DOWN | Endpoint unreachable or returned error |
| DEGRADED | Endpoint responded but reported unhealthy status in JSON body |
2. CI Pipeline Status
Query the latest pipeline/workflow runs for the current repo. Report the 3 most recent runs.
VCS Detection
Detect the VCS platform per the VCS Auto-Detection section of the gitlab-ops rule. Then use the appropriate CLI:
# GitLab
glab pipeline list -R <OWNER>/<REPO> --per-page 3
# GitHub
gh run list -R <OWNER>/<REPO> --limit 3
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 146 lines · 17 tokens per session scan C 1052b30bb855
080-ecosystem-health is a cursor rule published in the GitHub repository Kanevry/session-orchestrator (50 stars, last pushed yesterday), licensed MIT. It adds 17 tokens to every session and 1,003 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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