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 agentmods add skills/carta/plugins/carta-reporting-markdownnpx skills add carta/plugins --skill carta-reporting-markdowngit clone --depth 1 https://github.com/carta/pluginsWrote 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/carta/plugins/carta-reporting-markdown)<a href="https://agentmods.dev/skills/carta/plugins/carta-reporting-markdown"><img src="https://agentmods.dev/badge/skills/carta/plugins/carta-reporting-markdown.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00077 | $0.03158 |
| Opus 5 | $0.00039 | $0.01579 |
| Sonnet 5 | $0.00015 | $0.00632 |
| Haiku 4.5 | $0.00008 | $0.00316 |
Grade A, and why
carta-reporting-markdown scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 267 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Transform Configuration
Called from carta-reporting step 4d (Claude Code / MARKDOWN path). Use values resolved earlier in this session: data file path, corporation_id, user_report_pk, and _report_processor_path (the script path the parent skill resolved once — reuse it instead of re-running find).
Schema Preview
Run report_processor.py on the data file with no transforms to extract column names and types. Reuse the cached _report_processor_path; only fall back to find if it is empty:
UV_PYTHON_DOWNLOADS=never uv run "${_report_processor_path:-$(find ~ -name "report_processor.py" -path "*/carta-reporting/scripts/*" 2>/dev/null | head -1)}" <<'EOF'
{
"local_file": "<preview or full report file path>"
}
EOF
Lead with a brief result summary (e.g. "Here's your Securities Ledger report — loading full data in the background."), then present the column inventory.
Column inventory format — numbered list, grouped by category. Example for a 28-column report:
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.
- 4d ago First seen · 267 lines · 77 tokens per session scan A e3445b9d65a9
carta-reporting-markdown is a skill published in the GitHub repository carta/plugins (12 stars, last pushed today), licensed Apache-2.0. It adds 77 tokens to every session and 3,158 once invoked, about $0.0004 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.
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