engram-issue-creation

A workflow for creating GitHub issues under Engram’s review rules.

In plain words
What is it for?
Use it to report bugs or request features by searching for duplicates, choosing a required template, and following the approval process.
Why use it?
It prevents incomplete or duplicate issue reports and ensures that new issues receive review status before related code changes begin.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/gentleman-programming/engram/issue-creation
Any agent
npx skills add Gentleman-Programming/engram --skill issue-creation
Clone the repo
git clone --depth 1 https://github.com/Gentleman-Programming/engram

Made for: Claude Code, Codex.

Per session 38 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,494 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00038 $0.01494
Opus 5 $0.00019 $0.00747
Sonnet 5 $0.00008 $0.00299
Haiku 4.5 $0.00004 $0.00149

Measured yesterday against content hash 7b12aabbf55f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

engram-issue-creation 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 yesterday.

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.

skills/issue-creation/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

When to Use

Use this skill when:

  • Creating a GitHub issue (bug report or feature request)
  • Helping a contributor file an issue
  • Triaging or approving issues as a maintainer

Critical Rules

  1. Blank issues are disabled — MUST use a template (bug report or feature request)
  2. Every issue gets status:needs-review automatically on creation
  3. A maintainer MUST add status:approved before any PR can be opened
  4. Questions go to Discussions, not issues

Workflow

1. Search existing issues for duplicates
2. Choose the correct template (Bug Report or Feature Request)
3. Fill in ALL required fields
4. Check pre-flight checkboxes
5. Submit → issue gets status:needs-review automatically
6. Wait for maintainer to add status:approved
7. Only then open a PR linking this issue

Issue Templates

Bug Report

Template: .github/ISSUE_TEMPLATE/bug_report.yml Auto-labels: bug, status:needs-review

Required Fields
Field Description
Pre-flight Checks Checkboxes: no duplicate + understands approval workflow
Bug Description Clear description of the bug
Steps to Reproduce Numbered steps to reproduce
Expected Behavior What should have happened
Actual Behavior What happened instead (include errors/logs)
Operating System Dropdown: macOS, Linux variants, Windows, WSL
Engram Version Output of engram version
Agent / Client Dropdown: Claude Code, OpenCode, Gemini CLI, Cursor, Windsurf, Other
Optional Fields
Field Description
Relevant Logs Log output (auto-formatted as code block)
Additional Context Screenshots, workarounds, extra info
Example — Bug Report via CLI
gh issue create --template "bug_report.yml" \
  --title "fix(store): duplicate observations on concurrent saves" \
  --body "
### Pre-flight Checks
- [x] I have searched existing issues and this is not a duplicate
- [x] I understand this issue needs status:approved before a PR can be opened

### Bug Description
When two agents save observations concurrently, duplicates are created.

### Steps to Reproduce
1. Start two engram instances pointing to the same DB
2. Both save an observation with the same title simultaneously
3. Query observations — duplicates appear

### Expected Behavior
The second save should upsert, not insert a duplicate.

### Actual Behavior
Two identical observations exist with different IDs.

### Operating System
macOS

### Engram Version
0.3.1

### Agent / Client
Claude Code

### Relevant Logs
\`\`\`
UNIQUE constraint failed: observations.title
\`\`\`
"

Read the full file on GitHub · 231 lines

Changes

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.

  1. yesterday First seen · 231 lines · 38 tokens per session scan A 7b12aabbf55f

Subscribe to this mod's changes

engram-issue-creation is a skill published in the GitHub repository Gentleman-Programming/engram (6,232 stars, last pushed 2d ago), licensed MIT. It adds 38 tokens to every session and 1,494 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 2026-08-30.

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