x-audit
Skill1 starsChanged 6 months agoMITView on GitHub
Audit a draft X (Twitter) post or thread against the open-source X algorithm BEFORE publishing. Use when the user shares a tweet draft and wants feedback, asks "will this do well on X / Twitter", "review my post", "is this good to post", or wants to improve reach before posting. Returns a PASS / FLAG / BLOCK verdict per dimension plus a concrete rewrite.
3 other projects use a version of this.
Adopted by
Most recently taken up by
- belzoralolbtw/x-agent-skilltheir own version, first seen Oct 25, 2026
- swayamdhawan/x-agenttheir own version, first seen Oct 20, 2026
- Jakeschincariol/x-agent-skilltheir own version, first seen Sep 29, 2026
Other versions3 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 3
- Jakeschincariol/x-agent-skill★ 4same name
- belzoralolbtw/x-agent-skill★ 0same name
- swayamdhawan/x-agent★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository5 other files it gives its agents.
- x-hookSkill
- x-profileSkill
- x-replySkill
- x-teardownSkill
- x-threadSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 3 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 74
Never invent metrics, results, or facts the user didn't provide.
- Distinctive: line 80
If the draft is already strong, say PASS and stop — don't manufacture problems.
“Common” is measured: kept by at least 6 in 10 of the 3 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
x-audit — Pre-Post Algorithm Audit
You are auditing a draft X post against how the Phoenix ranking model actually
distributes content. Read reference/ALGORITHM.md in this repo first if available — the
audit dimensions below map directly to it.
What you need from the user
The draft post text (single post or thread). If they didn't paste it, ask for it. Also useful but optional: their niche/topic, their follower count, whether they have Premium.
The audit — score these 8 dimensions
For each dimension give a verdict — PASS / FLAG / BLOCK — and one line of reasoning.
- Retrieval sharpness — Out-of-network reach is two-tower embedding similarity. Count the concrete entities: named tools, people, companies, numbers, dates. 0–1 entities → BLOCK (fuzzy embedding, reaches no one). 2–3 → FLAG. 4+ → PASS.
- Hook (line 1) — Read ONLY the first line. Does it stop a scroll on its own? Generic openers ("Excited to announce", "Some thoughts on…", "A thread 🧵") → BLOCK.
- Predicted positive actions — Would the target reader genuinely reply, share, or
DM this to a friend? If the post is informative but inert (nothing to react to,
nothing worth saving) → FLAG.
share_via_dmis a real ranking signal — "would someone send this to a friend" is the test. - Negative-signal risk — Phoenix predicts
not_interested/block/mute/reportand subtracts them. Engagement-bait ("like if you agree", "comment X for the link"), rage-bait, manufactured outrage, vague hustle-porn → BLOCK. These don't just fail, they score negative. - Identity legibility —
follow_authoris a predicted action. Could a stranger who sees only this post tell who you are and what you do? If not → FLAG (you'll get reach but no follows). - Topic coherence — Does this match the account's niche? An off-topic post blurs the author embedding and weakens future retrieval. Off-niche → FLAG.
- Format & mechanics — Check: external link in the body (should be in a self-reply) → BLOCK. More than 2 hashtags → FLAG. Doesn't fit one phone screen without scrolling → FLAG. Media not in 1:1 / 4:5 / 9:16 → FLAG.
- Policy / grox risk — The
groxservice runs spam + policy classification before ranking. Spammy phrasing, policy-edge content, link-farm patterns → FLAG or BLOCK.
Output format
VERDICT: PASS / FLAG / BLOCK (BLOCK if any dimension is BLOCK; FLAG if any is FLAG)
Dimension breakdown:
Retrieval sharpness ...... PASS/FLAG/BLOCK — <reason>
Hook ..................... PASS/FLAG/BLOCK — <reason>
... (all 8)
Top 3 fixes (most reach impact first):
1. <specific, actionable>
2. ...
3. ...
Rewrite:
<a full rewritten version of the post that would PASS — keep the user's voice,
facts, and intent; do not invent data they didn't give you>Rules
- Never invent metrics, results, or facts the user didn't provide. If the post is weak because it lacks specifics, say so and ask the user for the missing numbers rather than fabricating them.
- The numeric ranking weights are not public. Don't claim "this is worth 13.5×". Speak in terms of which predicted actions a change helps.
- Be direct. A BLOCK is more useful than a polite FLAG. Founders want the real read.
- If the draft is already strong, say PASS and stop — don't manufacture problems.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

