| name | reputation-audit |
| description | AI risk-scores an account's own posts across professional, hostile, legal, and spam exposure, produces a 0-100 reputation score with a shareable card, and offers one-click cleanup of what it flags. Use when a user wants to audit their own timeline for embarrassing or risky posts, "clean up my account before a job search", or check what they said that could come back to bite them. |
| license | Apache-2.0 |
| metadata | {"author":"nichxbt","version":"1.0"} |
Reputation Audit
Scores your own posts against a risk rubric with one LLM call per post, then rolls
the verdicts into a 0-100 reputation score, a letter grade, and the specific posts
worth a second look. Three surfaces share one scoring engine
(src/ai/reputationScorer.js): a browser script that also renders a downloadable,
shareable score card image; a CLI command for scripting; and an API route for
agents.
This audits your own content for risk, not someone else's account and not
follower quality. For follower/network audits, use
Community Health Monitoring. For
bulk-deleting by age, keyword, or engagement rather than AI-judged risk, use
Content Cleanup.
The rubric
Every post is scored 0 (no risk) to 100 (severe) on up to four dimensions in a
single model call, plus an optional custom question:
| Dimension | Question |
|---|
| 💼 Professional | Would this embarrass the author to an employer, client, or business partner? |
| ⚔️ Hostile | Is this a personal attack on someone named or identifiable? |
| ⚖️ Legal exposure | Defamation, doxxing, a threat, leaked confidential info, an unkeepable promise? |
| 🗑️ Low value | Low-effort spam or filler that adds nothing? |
The overall score for a post is the MAX across its dimensions, not the average:
one severe dimension and three clean ones is still a post worth flagging.
Verdict: flagged at 70+, review at 40-69, clean below 40
(FLAG_THRESHOLD / REVIEW_THRESHOLD in the scorer module).
The account-level reputation score blends the average risk across all scanned
posts (60%) with the single worst post (40%), so one severe outlier still pulls
the grade down even when everything else is clean.
The report carries dimensionAverages and dimensionPeaks side by side. Read
and present the peak, not just the average: one post at 92 among four clean ones
averages to 18, and reporting only that contradicts the grade the same report
gives.
Browser script (with the shareable score card)
File: scripts/reputationAudit.js — full guide: docs/reputation-audit.md
The only surface that renders the downloadable/copyable PNG score card.
How to use
- Open the user's own profile:
x.com/USERNAME (or /with_replies, the
biggest source of risk on most accounts)
- DevTools (F12) then Console
- Paste the script. A panel appears bottom-right pre-loaded with all four
dimensions on
- Click Scan. Read the score, download or copy the card, optionally clean up
what got flagged (its own dry run, off by default)
What to tell the user
- Scanning only reads and scores. Nothing is touched until Cleanup runs, and
that starts in dry run.
- Cleanup reuses the same verified-delete logic as
scripts/searchSweep.js
and only ever touches the account's own posts.
- The card downloads as a 1200x675 PNG (X's own card ratio) or copies straight
to the clipboard to paste into a new post.
- Scored posts are cached locally for 14 days by id + rubric, so re-scanning
after a cleanup or the next day does not re-bill already-scored posts.
CLI
File: src/cli/commands/reputation.js
xactions reputation USERNAME
xactions reputation USERNAME --replies --limit 200
xactions reputation USERNAME --dimensions hostile,legal --custom-question "Does this reveal my employer?"
XAI_API_KEY=xai-... xactions reputation USERNAME --provider xai --json
Prints the score, a bar per dimension, and the flagged/review posts with the
reason each was flagged. --json for scripting; no card image (terminal-only,
point the user to the browser script for that).
SDK / API
Module: src/ai/reputationScorer.js, exported from the package root as
scorePost, scorePosts, summarizeReport, scoreToGrade, DIMENSIONS.
import { scorePosts, summarizeReport } from 'xactions';
const scores = await scorePosts(posts, { provider: 'xai', apiKey, dimensions: ['professional', 'legal'] });
const report = summarizeReport(posts, scores);
API: POST /api/ai/reputation/score (x402-priced, reputation:score,
$0.01/call) takes { posts, dimensions?, customQuestion?, provider?, model?, apiKey? } and returns { report, scores }. GET /api/ai/reputation/dimensions
lists the rubric with no payment required. Both are documented in
/openapi.json under the Reputation tag for agent discovery.
Any LLM provider
xAI (Grok) works straight from the browser console: x.com's
Content-Security-Policy allows api.x.ai. OpenAI, Anthropic, OpenRouter, and
Ollama need the browser extension bridge (extension/), or use the CLI/SDK,
which has no CSP to work around.
Related Skills
- content-cleanup — bulk-delete by age/keyword/engagement instead of AI-judged risk
- community-health-monitoring — audits your followers and network, not your own posts
- analytics-insights — general engagement and performance analytics
