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st ls
Lists the stories and fact-checks stored inside a .json container — titles, AI authors, scores, and timestamps.
st-ls subject.json # default: story table (titles, scores, flags)
st-ls -a subject.json # show all: data, stories, fact-checks, claims
st-ls --data subject.json # raw API data items only
st-ls --fact subject.json # fact-check summary table
st-ls -C subject.json # cross-AI claims comparison table
st-ls --fact -C subject.json # fact-check table + claims| Option | Description |
|---|---|
-d, --data
|
Display raw API data items |
-s, --story
|
Display the stories section (titles, scores, flags) |
-f, --fact
|
Display the fact-check summary table |
-C, --claims
|
Display the cross-AI claims comparison table (segment × AI verdict) |
-c N, --clip N
|
Clip displayed title length to N characters (default: 60) |
-a, --all
|
Display all sections: data, stories, fact-checks, and claims |
-v, --verbose
|
Verbose output |
-q, --quiet
|
Minimal output |
List stories, data, and fact-checks inside a .json container.
Default shows the story table — a quick overview of all stories and their
fact-check scores, much like the Linux ls command gives a directory listing.
Use -a / --all to show every section, or combine flags as needed.
Run after: st-gen (generated your first story) st-bang (generated from all AI providers) st-cross (ran the cross-product fact-check) st-fact (ran a single fact-check) Run before: st-print (preview or print a story) st-fact (fact-check a story) st-cross (cross-check all stories) st-post (publish a story)
| Column | Meaning |
|---|---|
| S | Story index (use with -s N in other commands) |
| Flag | Story origin: blank = original AI output; [fix:patch/best/synth] = improved by st-fix; [merge] = synthesized by st-merge |
| Segs | Number of fact-checkable segments extracted from the story |
| Score | Average fact-check score across all evaluators (higher = more accurate; max 200 for 10 claims at 20 pts each) |
Run st-fact or st-cross to populate the Score column.
- st-fact — fact-check a single story against one AI evaluator
- st-cross — cross-product N×N fact-check (every AI checks every story)
- st-read — display the full text of a story
- st-cat — dump the raw JSON container