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 skills add opendatahub-io/ai-helpers --skill engineer-snapshotgit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/skills/opendatahub-io/ai-helpers/engineer-snapshot)<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.
<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>- NVIDIA SkillSpector pass
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 5.1 | $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 |
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.
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 — 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
aclimust be installed and authenticated (acli jira auth)ghCLI must be installed and authenticated (gh auth login)jqandyqmust 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 $ARGUMENTS for:
- Engineer name (required): first positional argument
--config PATH(required): path to team config YAML--jira-days N(optional): JIRA lookback for stale threshold--github-days N(optional): GitHub lookback for merged PRs
If the engineer name is missing, ask:
"Which engineer should I generate a snapshot for?"
If --config is missing, ask:
"Which team config file should I use? Provide the path to your YAML config file."
Step 2: Load Config
Read the config file to extract the engineer's details:
github_username— needed for GitHub PR queriesnotes_file— path to 1:1 notes (if configured)team.github.repositories— repos to search for PRsdefaults.github_lookback_days— fallback for--github-days
Step 3: Fetch JIRA Data
Run the JIRA fetch script to get active and blocked issues:
"${CLAUDE_SKILL_DIR}/scripts/fetch_engineer_jira.sh" \
--config <CONFIG_PATH> \
--engineer "<ENGINEER_NAME>"
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.
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.
- 2mo ago First seen · 242 lines · 76 tokens per session scan A 506ff44c5843
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.
engineer-snapshot compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| engineer-snapshotopendatahub-io/ai-helpers | Skill | 39 | 5d ago | Apache-2.0 | A | 76 | Claude Code |
| linkerd-patternswshobson/agents | Skill | 42k | yesterday | MIT | A | 41 | Claude Code |
| spark-training-gotchaswshobson/agents | Skill | 42k | yesterday | MIT | A | 63 | Claude Code |
| parallel-feature-developmentwshobson/agents | Skill | 42k | yesterday | MIT | A | 105 | Claude Code |
| nft-standardswshobson/agents | Skill | 42k | yesterday | MIT | A | 48 | Claude Code |
| cost-optimizationwshobson/agents | Skill | 42k | yesterday | MIT | A | 48 | Claude Code |
| kpi-dashboard-designwshobson/agents | Skill | 42k | yesterday | MIT | A | 85 | Claude Code |