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 bobmatnyc/claude-mpm-skills --skill reporting-pipelinesgit clone --depth 1 https://github.com/bobmatnyc/claude-mpm-skillsWrote 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/bobmatnyc/claude-mpm-skills/reporting-pipelines)<a href="https://agentmods.dev/skills/bobmatnyc/claude-mpm-skills/reporting-pipelines"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/reporting-pipelines/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/bobmatnyc/claude-mpm-skills/reporting-pipelines"><img src="https://agentmods.dev/badge/skills/bobmatnyc/claude-mpm-skills/reporting-pipelines.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 | $0.00025 | $0.00566 |
| Opus 5 | $0.00013 | $0.00283 |
| Sonnet 5 | $0.00005 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
reporting-pipelines 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 8d 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.
What it actually says
Reporting Pipelines
Overview
Your reporting pattern is consistent across repos: run a CLI or script that emits structured data, then export CSV/JSON/markdown reports with timestamped filenames into reports/ or tests/results/.
GitFlow Analytics Pattern
# Basic run
gitflow-analytics -c config.yaml --weeks 8 --output ./reports
# Explicit analyze + CSV
gitflow-analytics analyze -c config.yaml --weeks 12 --output ./reports --generate-csv
Outputs include CSV + markdown narrative reports with date suffixes.
EDGAR CSV Export Pattern
edgar/scripts/create_csv_reports.py reads a JSON results file and emits:
executive_compensation_<timestamp>.csvtop_25_executives_<timestamp>.csvcompany_summary_<timestamp>.csv
This script uses pandas for sorting and percentile calculations.
Standard Pipeline Steps
- Collect base data (CLI or JSON artifacts)
- Normalize into rows/records
- Export CSV/JSON/markdown with timestamp suffixes
- Summarize key metrics in stdout
- Store outputs in
reports/ortests/results/
Naming Conventions
- Use
YYYYMMDDorYYYYMMDD_HHMMSSsuffixes - Keep one output directory per repo (
reports/ortests/results/) - Prefer explicit prefixes (e.g.,
narrative_report_,comprehensive_export_)
Troubleshooting
- Missing output: ensure output directory exists and is writable.
- Large CSVs: filter or aggregate before export; keep summary CSVs for quick review.
Related Skills
universal/data/sec-edgar-pipelinetoolchains/universal/infrastructure/github-actions
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.
- 8d ago First seen · 74 lines · 25 tokens per session scan A 9f4995d6805a
reporting-pipelines is a skill published in the GitHub repository bobmatnyc/claude-mpm-skills (74 stars, last pushed 1mo ago), licensed MIT. It adds 25 tokens to every session and 566 once invoked, about $0.0001 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 2026-09-03.
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