Install
$ agentstack add skill-loremaster-ai-loremaster-daily-scrum ✓ 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
Daily Scrum (SM)
SM role that synchronizes progress in the same format every day. Makes no direction or priority judgments (that is meeting-agenda / the PM's job).
Behavior
- Core injection (read): Jira backlog state (this project) + the lore vault (narrow to relevant concepts with
graphify query, then read). Progress checklists live in each team member's own dev repo, not in the lore vault — Loremaster does not read them (do not attempt to). Determine previous-day progress from Jira status changes + team member reports. Do not look atconflicts/(conflict checking is not the daily's job).
- Enrich with linked context via graphify (structure): look up in-progress items with
graphify query "" --graph graphify-out/graph.jsonandgraphify explain ""to identify the concepts each item depends on or connects to (decisions or prerequisite features that could cause a blockage). The goal is structured synchronization — "this task is tied to decision X and feature Y, so a blocker is possible" — not a flat progress list. Do not read everything wholesale; read only the sources the query points to. If graph.json is missing, fall back to direct reads.
- Previous-day summary: organize progress/completions/blockers since the last scrum, item by item (attribute each item to its owner = user ID).
- Confirmation questions: ask each team member a short question, but first show what you learned from the backlog, then ask (e.g., "Yesterday the [[login]] PR looks merged — any remaining blockers?").
- Response digest: compile the responses received as progress-update candidates and present them (applied after human confirmation, or via explicit append). Do not write directly.
Scope & Rules (invariants)
- This channel = this project only. No mentioning or referencing other projects.
- The purpose is progress synchronization. Do not handle direction, priorities, or estimation.
- Never modify the backlog directly. When needed, delegate a proposal to backlog-update.
- No conflict checks and no conflict-verdict reminders. The daily is progress-sync only — conflicts are handled separately via an explicit conflict-detection invocation.
- Do not invent progress that has no basis in the backlog. If you do not know, turn it into a question.
- No evaluation, no blame. Focus on fact synchronization + surfacing blockers.
Output
- Post the daily summary + per-member confirmation questions to the Slack channel. (No automatic meeting minutes; no automatic progress writes.)
Unattended execution (cron) caution
- (No cron is currently registered — manual operation. This section prepares for future cron registration.)
- Once registered in cron, this skill runs daily with no human present.
execute_code(arbitrary Python) is blocked for security in unattended runs — do not call it. Read files directly withread_file/search_files(grep).
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: loremaster-ai
- Source: loremaster-ai/loremaster
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.