engineer-snapshot

engineer-snapshot is a skill for Claude Code from opendatahub-io/ai-helpers. It costs 76 tokens per session (1,801 once invoked), scanned A, original, Apache-2.0.

A per-engineer activity summary that combines JIRA work items, GitHub pull requests, and action items from one-to-one meeting notes. JIRA is a system for tracking tasks and issues; GitHub pull requests are proposed code changes for review.

In plain words
What is it for?
Use it to check an engineer's workload, prepare for a review or one-to-one, and see issues, pull requests, and outstanding actions.
Why use it?
It brings status information from separate tools into one view, making open, blocked, stale, and recently completed work easier to review.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the odh-team plugin — 3 skills shipped together

Good fit Use it to check an engineer's workload, prepare for a review or one-to-one, and see issues, pull requests, and outstanding actions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/opendatahub-io/ai-helpers/engineer-snapshot
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.

Any agent
npx skills add opendatahub-io/ai-helpers --skill engineer-snapshot
Clone the repo
git clone --depth 1 https://github.com/opendatahub-io/ai-helpers

Made for: Claude Code.

Or install odh-team, the plugin that ships this one along with the rest of its 3 skills.

Wrote 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.

agentmods badge for engineer-snapshot

README.md
[![agentmods](https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/engineer-snapshot/github.svg)](https://agentmods.dev/skills/opendatahub-io/ai-helpers/engineer-snapshot)
Your own site
<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/engineer-snapshot"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/engineer-snapshot/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for engineer-snapshot

Your own site · 80×15
<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/engineer-snapshot"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/engineer-snapshot.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,801 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00076 $0.01801
Opus 5.5 $0.00030 $0.00720
Sonnet 5.5 $0.00015 $0.00360
Haiku 4.5 $0.00008 $0.00180

Measured 2mo ago against content hash 506ff44c5843, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

engineer-snapshot 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 2mo ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fetch_engineer_jira.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

plugins/odh-team/skills/engineer-snapshot/SKILL.md · 242 lines

How it starts

The opening of the file, as written. The whole thing — 242 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Engineer Snapshot

Generate a per-engineer activity snapshot combining JIRA issues, GitHub PR activity, and open action items from 1:1 notes.

Prerequisites

  • acli must be installed and authenticated (acli jira auth)
  • gh CLI must be installed and authenticated (gh auth login)
  • jq and yq must be installed and available in PATH
  • A team config YAML file (see Config Format below)

Config Format

Create a YAML file with your team's details (same format as team-weekly-report):

team:
  name: "My Team"
  jira:
    url: "https://mycompany.atlassian.net"
    project: "PROJ"
    component: "MyComponent"  # optional
  github:
    repositories:
      - "org/repo1"
      - "org/repo2"
  members:
    - name: "Engineer One"
      jira_username: "712020:account-id-here"
      github_username: "eng1"
      notes_file: "notes/engineer_one.md"  # optional
defaults:
  jira_lookback_days: 7
  github_lookback_days: 7
  stale_threshold_days: 7

Implementation

Step 1: Parse Arguments

Parse $ARGUMENTS for:

  • Engineer name (required): first positional argument
  • --config PATH (required): path to team config YAML
  • --jira-days N (optional): JIRA lookback for stale threshold
  • --github-days N (optional): GitHub lookback for merged PRs

If the engineer name is missing, ask:

"Which engineer should I generate a snapshot for?"

If --config is missing, ask:

"Which team config file should I use? Provide the path to your YAML config file."

Step 2: Load Config

Read the config file to extract the engineer's details:

  • github_username — needed for GitHub PR queries
  • notes_file — path to 1:1 notes (if configured)
  • team.github.repositories — repos to search for PRs
  • defaults.github_lookback_days — fallback for --github-days

Step 3: Fetch JIRA Data

Run the JIRA fetch script to get active and blocked issues:

"${CLAUDE_SKILL_DIR}/scripts/fetch_engineer_jira.sh" \
  --config <CONFIG_PATH> \
  --engineer "<ENGINEER_NAME>"

Read the full file on GitHub · 242 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 2mo ago First seen · 242 lines · 76 tokens per session scan A 506ff44c5843

Subscribe to this mod's changes

engineer-snapshot is a skill published in the GitHub repository opendatahub-io/ai-helpers (39 stars, last pushed 5d ago), licensed Apache-2.0. It adds 76 tokens to every session and 1,801 once invoked, about $0.0003 per session on Opus 5.5. 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 2026-09-03.

Related

engineer-snapshot compared with skills from other repositories

engineer-snapshot next to 6 skills from other repositories
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