engineering-report

A skill for producing engineering reports from GitHub repositories and teams, including status updates, metrics, and work summaries.

In plain words
What is it for?
Summarising backlogs, pull requests, bugs, review workload, stale work, and sprint or team progress.
Why use it?
It gathers project and team activity into a report instead of requiring manual review of many GitHub pages.

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/troystaylor/sharingiscaring/engineering-report
Any agent
npx skills add troystaylor/SharingIsCaring --skill engineering-report
Clone the repo
git clone --depth 1 https://github.com/troystaylor/SharingIsCaring

Made for: Claude Code, Codex.

Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,804 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00101 $0.01804
Opus 5 $0.00051 $0.00902
Sonnet 5 $0.00020 $0.00361
Haiku 4.5 $0.00010 $0.00180

Measured 2d ago against content hash 3bac977a84ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

engineering-report 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 2d 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.

Cowork Plugins/GitHub Cowork/skills/engineering-report/SKILL.md · 163 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 2d ago First seen · 163 lines · 101 tokens per session scan A 3bac977a84ca

Subscribe to this mod's changes

engineering-report is a skill published in the GitHub repository troystaylor/SharingIsCaring (39 stars, last pushed 4d ago), with no licence file. It adds 101 tokens to every session and 1,804 once invoked, about $0.0005 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.