Agent skill

Transaction Trace Analysis

by benchflow-ai in benchflow-ai/skillsbench

Teaches evidence-based analysis of transaction logs and traces.

Apache-2.0Auto-check passedDocuments & Office

Install Transaction Trace Analysis

skills CLI
$ npx skills add benchflow-ai/skillsbench --skill transaction-trace-analysis -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install benchflow-ai/skillsbench transaction-trace-analysis --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/benchflow-ai/skillsbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tasks/tictoc-unnecessary-abort-detection/environment/skills/transaction-trace-analysis .claude/skills/transaction-trace-analysis && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
transaction-trace-analysis
GitHub stars
1.8k
Token cost
~845 tokens
SKILL.md length
276 words
Files
8 (incl. references)
Skills in repo
178
Repo updated
First seen
Licence
Apache-2.0

At a glance

Teaches evidence-based analysis of transaction logs and traces.

  • Works in 6 steps: Schema normalization: name every column;… → Per-txn reconstruction: summarize each… → Per-key reconstruction: build a timeline… → …
  • Reconstructing transaction behavior from tables
  • SKILL.md covers Quick Reference (pick the next…, Trace Ledger (what you build…, Workflow (operational) and Common Pitfalls
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Transaction Trace Analysis is an agent skill from benchflow-ai/skillsbench. Teaches evidence-based analysis of transaction logs and traces. Use when reconstructing transaction behavior from tables, TSV/CSV files, timestamps, counters, object histories, validation records, abort records, retries, partial logs, or when producing classified transaction outputs from trace evidence.

Its SKILL.md is about 850 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including reference files (for example `references/evidence-quality-and-uncertainty.md`, `references/object-version-history.md` and `references/output-classification-patterns.md`).

It sits in Documents & Office, covering CSV and tabular files. The repository describes itself as: SkillsBench evaluates how well skills work and how effective agents are at using them. The licence is Apache-2.0.

When your agent uses it

  • Reconstructing transaction behavior from tables
  • Object histories
  • Validation records
  • Producing classified transaction outputs from trace evidence

Example prompts

  • “Use the transaction-trace-analysis skill to teach evidence-based analysis of transaction logs and traces”
  • “/transaction-trace-analysis”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Schema normalization: name every column; identify scope for each counter/timestamp.
  2. Per-txn reconstruction: summarize each txn’s evidence and candidate serialization point fields.
  3. Per-key reconstruction: build a timeline per key; validate what orders it (wts? counter?).
  4. Decision modeling: re-express the protocol’s decision rule in terms of trace fields.
  5. Classification: prove “must abort” vs “could commit” vs “unknown from evidence.”
  6. Output: dedupe ids, sort if required, write exact format.

What it can do on your machine

Read from SKILL.md and the folder at commit 9a1f4dd. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Transaction Trace Analysis loads about 845 tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 83 tokens; SKILL.md has 276 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~83
When it runs · the whole SKILL.md, loaded when a task matches
~845
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from benchflow-ai/skillsbench at commit 9a1f4dd, republished under its Apache-2.0 licence (© benchflow-ai). 276 words, ~845 tokens.

Download SKILL.mdSave it as .claude/skills/transaction-trace-analysis/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
transaction-trace-analysis
description
Teaches evidence-based analysis of transaction logs and traces. Use when reconstructing transaction behavior from tables, TSV/CSV files, timestamps, counters, object histories, validation records, abort records, retries, partial logs, or when producing classified transaction outputs from trace evidence.

Transaction Trace Analysis

Use this skill when the task provides concrete logs, tables, counters, timestamps, or partial records and asks you to infer transaction behavior.

This skill is about reconstruction under partial evidence:

  • normalize columns into a stable event vocabulary
  • reconstruct per-transaction intent and per-object version timelines
  • join them through explicit fields (not through row order guesses)
  • produce a minimal, auditable classification for the required output

Quick Reference (pick the next file to read)

If you need…Read
Mapping weird columns into tx/key/op/timestamp/counter/status/reasontrace-schema-normalization.md
Grouping events per transaction and avoiding “attempt vs request” mixupstransaction-history-reconstruction.md
Reconstructing a per-key version timeline from writes/validationobject-version-history.md
Interpreting timestamp/counter semantics and scope correctlytimestamp-and-ordering-fields.md
Understanding validation failures, abort reasons, and conservative checksvalidation-and-abort-records.md
Avoiding overclaims when the trace is incompleteevidence-quality-and-uncertainty.md
Emitting deduped/sorted ids and minimal justificationsoutput-classification-patterns.md

Trace Ledger (what you build first)

Build two tiny ledgers before doing any deep inference:

Transaction ledger
text
txn_id -> {
  seen_keys: [...],
  read-evidence: (key, observed_version_fields...),
  write-evidence: (key, installed_version_fields...),
  validation/abort-evidence: [...],
  candidate_commit_fields: ...,
}
Object ledger
text
key -> timeline [
  { event: write/abort/validate, txn_id, version_fields, counter_fields },
  ...
]

Only after both exist should you attempt joins like “did T’s read become stale?” or “could an aborted T have committed?”

Workflow (operational)

  1. Schema normalization: name every column; identify scope for each counter/timestamp.
  2. Per-txn reconstruction: summarize each txn’s evidence and candidate serialization point fields.
  3. Per-key reconstruction: build a timeline per key; validate what orders it (wts? counter?).
  4. Decision modeling: re-express the protocol’s decision rule in terms of trace fields.
  5. Classification: prove “must abort” vs “could commit” vs “unknown from evidence.”
  6. Output: dedupe ids, sort if required, write exact format.

Common Pitfalls

  • Treating per-key counters as global order.
  • Using file row order as time order without justification.
  • Calling something ‘unnecessary’ without exhibiting a safe order consistent with evidence.

© benchflow-ai, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in tasks/tictoc-unnecessary-abort-detection/environment/skills/transaction-trace-analysis of benchflow-ai/skillsbench.

  • SKILL.md
  • references/evidence-quality-and-uncertainty.md
  • references/object-version-history.md
  • references/output-classification-patterns.md
  • references/timestamp-and-ordering-fields.md
  • references/trace-schema-normalization.md
  • references/transaction-history-reconstruction.md
  • references/validation-and-abort-records.md

Open the folder on GitHubat commit 9a1f4dd

Compare with similar skills

Transaction Trace Analysis next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Transaction Trace Analysis compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Transaction Trace Analysis this skillbenchflow-ai/skillsbench1.8k—~845Automated safety check: PassApache-2.0
Data Table Managern8n-io/n8n207k—~2.3kAutomated safety check: PassCustom licence
Instrument Data To Allotropeaws-samples/amazon-bedrock-agents-healthcare-lifesciences2742 repos~2.7kAutomated safety check: PassApache-2.0
Abuse Hunternexu-io/harness-engineering-guide663—~1.9kAutomated safety check: PassMIT
Markitshift-labs-ai/markit1.3k—~299Automated safety check: PassMIT
Sector Analysttradermonty/claude-trading-skills3k1 repos~2.3kAutomated safety check: PassMIT

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Questions about Transaction Trace Analysis

What does Transaction Trace Analysis do?

Teaches evidence-based analysis of transaction logs and traces. Transaction Trace Analysis is an agent skill from benchflow-ai/skillsbench. Teaches evidence-based analysis of transaction logs and traces.

When should I use Transaction Trace Analysis?

Transaction Trace Analysis fits situations like: reconstructing transaction behavior from tables; object histories; validation records; producing classified transaction outputs from trace evidence.

How do I install Transaction Trace Analysis in Claude Code?

Run `npx skills add benchflow-ai/skillsbench --skill transaction-trace-analysis -a claude-code`. Or copy the skill folder (tasks/tictoc-unnecessary-abort-detection/environment/skills/transaction-trace-analysis in benchflow-ai/skillsbench) into .claude/skills/transaction-trace-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Transaction Trace Analysis in Codex?

Run `npx skills add benchflow-ai/skillsbench --skill transaction-trace-analysis -a codex`. Or copy the skill folder (tasks/tictoc-unnecessary-abort-detection/environment/skills/transaction-trace-analysis in benchflow-ai/skillsbench) into .agents/skills/transaction-trace-analysis in your project. Codex loads it when a task matches its description.

Can I use Transaction Trace Analysis in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add benchflow-ai/skillsbench --skill transaction-trace-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/transaction-trace-analysis, .gemini/skills/transaction-trace-analysis, .github/skills/transaction-trace-analysis and .opencode/skills/transaction-trace-analysis in your project.

What does Transaction Trace Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Transaction Trace Analysis is instructions for the agent only.

Does Transaction Trace Analysis access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Transaction Trace Analysis safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Transaction Trace Analysis use?

Transaction Trace Analysis is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Transaction Trace Analysis use?

About 845 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.5k tokens, read only when the agent opens those files.

What are the alternatives to Transaction Trace Analysis?

Skills that share tags, products or a category with Transaction Trace Analysis: Data Table Manager (n8n-io/n8n, 207k stars), Instrument Data To Allotrope (aws-samples/amazon-bedrock-agents-healthcare-lifesciences, 274 stars), Abuse Hunter (nexu-io/harness-engineering-guide, 663 stars) and Markit (shift-labs-ai/markit, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Transaction Trace Analysis?

benchflow-ai (a GitHub organization) maintains it in benchflow-ai/skillsbench, which has 1,832 GitHub stars. The repository holds 178 skills in this directory. The repository was last updated on July 23, 2026.

Source: benchflow-ai/skillsbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.