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/monarchjuno/tradingcodex/tcx-data-qcnpx skills add monarchjuno/tradingcodex --skill tcx-data-qcgit clone --depth 1 https://github.com/monarchjuno/tradingcodexWrote 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/monarchjuno/tradingcodex/tcx-data-qc)<a href="https://agentmods.dev/skills/monarchjuno/tradingcodex/tcx-data-qc"><img src="https://agentmods.dev/badge/skills/monarchjuno/tradingcodex/tcx-data-qc.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 | $0.00028 | $0.00249 |
| Opus 5 | $0.00014 | $0.00125 |
| Sonnet 5 | $0.00006 | $0.00050 |
| Haiku 4.5 | $0.00003 | $0.00025 |
Grade A, and why
tcx-data-qc 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.
What it actually says
Numeric Data QC
Use this procedure when numeric data, valuation inputs, market anchors, portfolio exposure, or risk limits affect readiness.
Required output shape:
- source date and retrieval date
- period alignment
- units and currency
- share count and per-share consistency when relevant
- source versus derived versus assumption labels
- current price or market anchor with as-of posture when relevant
- formula sanity checks
- field-level gaps and the claims or actions they limit
Quality floor:
- Do not mix periods, units, currencies, or share bases silently.
- Label derived calculations and assumptions.
- Do not fabricate prices, metrics, formulas, or retrieval timestamps.
- Judge freshness against the requested as-of and the source's expected observation or publication cadence; an unavailable future period is not stale data.
- Preserve valid fields and downgrade only the conclusions or actions that depend on missing, stale, conflicting, or ambiguous inputs.
Put the data-quality result near the top of the artifact so synthesis can see whether numeric claims are decision-ready.
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.
- 4d ago First seen · 35 lines · 28 tokens per session scan A c96f0c3b341a
tcx-data-qc is a skill published in the GitHub repository monarchjuno/tradingcodex (366 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 28 tokens to every session and 249 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 2026-08-30.
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