Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/z3z1ma/10xnpx agentmods add skills/z3z1ma/10x/ledger-import-fixture-replayWrote 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/z3z1ma/10x/ledger-import-fixture-replay)<a href="https://agentmods.dev/skills/z3z1ma/10x/ledger-import-fixture-replay"><img src="https://agentmods.dev/badge/skills/z3z1ma/10x/ledger-import-fixture-replay/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/z3z1ma/10x/ledger-import-fixture-replay"><img src="https://agentmods.dev/badge/skills/z3z1ma/10x/ledger-import-fixture-replay.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00029 | $0.00338 |
| Opus 5 | $0.00015 | $0.00169 |
| Sonnet 5 | $0.00006 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
ledger-import-fixture-replay 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 12d 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
Ledger Import Fixture Replay
Objective
Replay the tracked Ledger import fixture and verify stable preview output without depending on inline CSV construction or the current system date.
Prerequisites
- The fixture file exists at
testdata/ledger/import-preview.csv. - The posting date is frozen to
2026-01-15. - Ledger import terminology follows
.10x/knowledge/ledger-import-terms.md; imported row identifiers aresourceRef. - Run commands from the repository root.
Procedure
-
Confirm the fixture exists at
testdata/ledger/import-preview.csv. -
Run:
python3 scripts/ledger_preview.py --fixture testdata/ledger/import-preview.csv --posting-date 2026-01-15 -
Inspect the JSON output.
-
Record evidence that includes the command, output, and validation result.
Validation
- Fixture replay uses
testdata/ledger/import-preview.csv. - Fixture replay does not construct CSV content inline.
- Fixture replay does not read or depend on the wall-clock date.
- Preview output contains
sourceRefvaluesLEDGER-001andLEDGER-002. - Preview output contains normalized cent amounts
12345and-678. - Preview output uses posting date
2026-01-15for every row.
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.
- 12d ago First seen · 44 lines · 29 tokens per session scan A 50c6c3adca89
ledger-import-fixture-replay is a skill published in the GitHub repository z3z1ma/10x (21 stars, last pushed 2mo ago), licensed MIT. It adds 29 tokens to every session and 338 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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