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 terrylica/cc-skills --skill odb-microstructure-forensicsgit clone --depth 1 https://github.com/terrylica/cc-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/terrylica/cc-skills/odb-microstructure-forensics)<a href="https://agentmods.dev/skills/terrylica/cc-skills/odb-microstructure-forensics"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/odb-microstructure-forensics/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/terrylica/cc-skills/odb-microstructure-forensics"><img src="https://agentmods.dev/badge/skills/terrylica/cc-skills/odb-microstructure-forensics.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 | $0.00034 | $0.02366 |
| Opus 5.5 | $0.00014 | $0.00946 |
| Sonnet 5.5 | $0.00007 | $0.00473 |
| Haiku 4.5 | $0.00003 | $0.00237 |
Grade B, and why
odb-microstructure-forensics scanned grade B with 2 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 22d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
| ClickHouse cache | `opendeviationbar_cache.open_deviation_bars` on **<gpu-host>** | 76 columns, see [schema reference](./references/clickhouse-schema.md) | `ssh <gpu-host> 'curl -s http://localhost:8123/ -d "..."'` | Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| ClickHouse cache | `opendeviationbar_cache.open_deviation_bars` on **<gpu-host>** | 76 columns, see [schema reference](./references/clickhouse-schema.md) | `ssh <gpu-host> 'curl -s http://localhost:8123/ -d "..."'` | How it starts
The opening of the file, as written. The whole thing — 192 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ODB Microstructure Forensics
Systematic methodology for investigating Open Deviation Bar anomalies by tracing from ClickHouse cache back to raw Parquet trade data. Distinguishes algorithm correctness issues from market microstructure phenomena (liquidation cascades, order book sweeps, matching engine batch effects).
Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.
When to Use
- ODB bars appear visually larger (taller or wider) than neighbors at the same threshold
- Bars have zero or near-zero duration with extreme price range
abs_dev_dbpsexceeds the threshold (e.g., 22 dbps on a 100 dbps bar)- Clusters of micro-bars appear at a single timestamp
- Diagnosing whether anomalies are data bugs vs market microstructure
- Investigating specific time windows flagged by the Flowsurface chart UI
Data Sources
| Source | Location | Schema | Access |
|---|---|---|---|
| ClickHouse cache | opendeviationbar_cache.open_deviation_bars on |
76 columns, see schema reference | ssh <gpu-host> 'curl -s http://localhost:8123/ -d "..."' |
| Parquet tick cache | /home/<user>/.cache/opendeviationbar/ticks/{SYMBOL}/{YYYY-MM-DD}.parquet on |
agg_trade_id, price, quantity, first_trade_id, last_trade_id, timestamp, is_buyer_maker |
ssh <gpu-host> 'cd /home/<user> && uv run --python 3.14 python3 -c "..."' with Polars |
What ships with it
2 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.
- 22d ago Changed fa63d268fda3
- 1mo ago First seen · 192 lines · 34 tokens per session scan B fce5660e177e
odb-microstructure-forensics is a skill published in the GitHub repository terrylica/cc-skills (1 stars, last pushed today), licensed MIT. It adds 34 tokens to every session and 2,366 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-05.
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