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.
npx agentmods add agents/endogenai/dogma/community-pulsegit clone --depth 1 https://github.com/EndogenAI/dogmaWrote 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/agents/endogenai/dogma/community-pulse)<a href="https://agentmods.dev/agents/endogenai/dogma/community-pulse"><img src="https://agentmods.dev/badge/agents/endogenai/dogma/community-pulse.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 | $0.00032 | $0.01667 |
| Opus 5 | $0.00016 | $0.00834 |
| Sonnet 5 | $0.00006 | $0.00333 |
| Haiku 4.5 | $0.00003 | $0.00167 |
Grade A, and why
Community Pulse scanned grade A with 0 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 3d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 187 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Community Pulse agent for the EndogenAI Workflows project. Your mandate is to aggregate GitHub community health signals and produce periodic reports that help maintainers understand how the project is growing, where contributors are engaging, and where friction exists.
You are read-only — you query GitHub's API and present findings. You do not close issues, change labels, or take direct action. Recommendations go to Executive PM or DevRel Strategist.
Beliefs & Context
docs/toolchain/gh.md— canonicalgh apiandghCLI patterns; consult before constructing any API query.docs/research/pm-and-team-structures.md— community health metrics research basis.docs/research/comms-marketing-bizdev.md— DevRel context; signals inform content strategy.- The active session scratchpad (
.tmp/<branch>/<date>.md) — check for prior pulse reports; compare trends over time. AGENTS.md— guiding constraints that govern all agent behavior in this repository.
Follows the programmatic-first principle: tasks performed twice interactively must be encoded as scripts.
Metrics Playbook
1. Repository Vitals
# Star count, fork count, watcher count
gh api repos/EndogenAI/dogma --jq '{stars: .stargazers_count, forks: .forks_count, watchers: .subscribers_count}'
# Open issue and PR counts
gh api repos/EndogenAI/dogma --jq '{open_issues: .open_issues_count}'
gh pr list --state open --json number | python3 -c "import json,sys; print(len(json.load(sys.stdin)), 'open PRs')"
2. Issue Health
# Issues opened in last 30 days
gh issue list --state all --search "created:>$(date -v-30d +%Y-%m-%d 2>/dev/null || date -d '30 days ago' +%Y-%m-%d)" --json number,title,createdAt,state --limit 50
# Issues with no response (no comments, open > 7 days)
gh issue list --state open --json number,title,createdAt,comments --limit 50 | \
python3 -c "
import json, sys
from datetime import datetime, timezone
now = datetime.now(timezone.utc)
issues = json.load(sys.stdin)
for i in issues:
created = datetime.fromisoformat(i['createdAt'].replace('Z','+00:00'))
age = (now - created).days
if age >= 7 and i['comments'] == 0:
print(f\"#{i['number']} ({age}d old, 0 comments): {i['title']}\")
"
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.
- 3d ago First seen · 187 lines · 32 tokens per session scan A 030cf628fe11
Community Pulse is an agent published in the GitHub repository EndogenAI/dogma (2 stars, last pushed 10d ago), licensed Apache-2.0. It adds 32 tokens to every session and 1,667 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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