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 team-weekly-reportgit 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/team-weekly-report)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/team-weekly-report"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/team-weekly-report/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/team-weekly-report"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/team-weekly-report.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 | $0.00075 | $0.01407 |
| Opus 5.5 | $0.00030 | $0.00563 |
| Sonnet 5.5 | $0.00015 | $0.00281 |
| Haiku 4.5 | $0.00007 | $0.00141 |
Grade A, and why
team-weekly-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 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 — 201 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Team Weekly Report
Generate a comprehensive weekly status report for an engineering team by combining JIRA issue data and GitHub PR activity.
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:
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"
- name: "Engineer Two"
jira_username: "712020:account-id-here"
github_username: "eng2"
defaults:
jira_lookback_days: 7
github_lookback_days: 7
stale_threshold_days: 7
Finding JIRA account IDs: In Jira Cloud, go to a user's profile page.
The account ID is the long string in the URL after /people/.
Implementation
Step 1: Determine Config Path
Parse $ARGUMENTS for the --config flag and optional --days flag.
If no --config is provided, ask the user:
"Which team config file should I use? Provide the path to your YAML config file (e.g.,
~/team-config.yaml)."
Validate the config file exists before proceeding.
Step 2: Fetch JIRA Data
Run the JIRA fetch script to collect closed, open, stale, and blocked issues for every team member:
"${CLAUDE_SKILL_DIR}/scripts/fetch_team_jira.sh" --config <CONFIG_PATH> --days <N>
The script outputs JSON to stdout with a members array. Each member
entry contains closed_issues, open_issues, stale_issues, and
blocked_issues arrays. Capture the full JSON output for analysis.
If the script fails, display the error and stop.
Step 3: Fetch GitHub Data
Run the GitHub fetch script to collect open and merged PRs for every team member across the configured repositories:
What ships with it
3 files 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 · 201 lines · 75 tokens per session scan A d6039f8488fe
team-weekly-report is a skill published in the GitHub repository opendatahub-io/ai-helpers (39 stars, last pushed 5d ago), licensed Apache-2.0. It adds 75 tokens to every session and 1,407 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.
team-weekly-report compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| team-weekly-reportopendatahub-io/ai-helpers | Skill | 39 | 5d ago | Apache-2.0 | A | 75 | Claude Code |
| git-advanced-workflowswshobson/agents | Skill | 42k | yesterday | MIT | A | 54 | Claude Code |
| workflow-patternswshobson/agents | Skill | 42k | yesterday | MIT | A | 35 | Claude Code |
| turborepo-cachingwshobson/agents | Skill | 42k | yesterday | MIT | C | 42 | Claude Code |
| block-no-verify-hookwshobson/agents | Skill | 42k | yesterday | MIT | C | 46 | Claude Code |
| youre-absolutely-wrongNauro-AI/nauro | Skill | 11 | 3d ago | Apache-2.0 | A | 49 | Claude Code |
| ainb-fleet:ainb-spawnstevengonsalvez/agents-in-a-box | Skill | 27 | 10d ago | MIT | C | 107 | Claude Code |