Govern X (Twitter) account work through three lanes: evidence reads, typed act plans for posting and account hygiene, and gated execution with per-act provider evidence. Nothing reaches a live timeline or mutates an account without an explicit approval recorded in the receipt.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Twitter skill
What this skill tells your AI
The instructions your AI receives, as published by runxhq/runx in skills/twitter/SKILL.md and read by ahel’s review.
One account, three lanes: read evidence, plan typed acts, execute an approved plan.
This is the public branded X (Twitter) catalog skill for the send-as action
family. Its core invariant: the agent may read, audit, draft, and plan freely,
but every act that publishes to a public timeline or mutates the account stops
at a human approval gate, and the sealed receipt proves which acts ran, against
which plan digest, with which provider evidence.
Write for the operator who owns the account, the reviewer who approves a live act, and downstream skills that consume the resulting packets. Keep each plan to the smallest evidence-backed act set that satisfies the objective. Existing post and user ids must come from supplied evidence, never memory or guesswork; name missing evidence as a blocker.
Composes
data-store#append_eventdata-store#read_events
What this skill does
Five runners:
read: collect account evidence from the live API. Queries:snapshot,posts,mentions,search,following,followers. Emitstwitter.evidence.v1. Read-only; no gate.read-archive: inspect one contained X archive export (tweets.js,following.js, orfollower.js) through the runtime's digest-bound artifact page seam. Twitter code receives bounded, record-complete pages and never a path or whole-file escape hatch. The runtime snapshots up to 512 MiB and this skill requests 512 KiB pages; the page size is not a total archive limit. Emits the sametwitter.evidence.v1packet; no gate.plan: turn one bounded objective plus evidence intotwitter.plan.v1, an explicit list of typed acts with rationale, using agent judgment, then bind the exact plan through nativedata.digest. This is the curated lane, for dozens of acts that each deserve a reason. A plan is a draft; it delivers nothing. The result exposestwitter_plan.dataand the matchingdigest_result.data.digestrequired byexecute; callers never calculate the digest themselves.select: the bulk lane. Apply a deterministic predicate to an archive export and emit a compact plan, no agent judgment. Use it when the criterion is mechanical and the match set runs to thousands, where a per-item rationale would be wrong and would exceed the runtime output limit. Two targets:postspagestweets.jsand emitsdelete_postacts (predicate: author, date range, engagement threshold), with identical results across page sizes;usersreads a boundedfollowing.jsbundle and emitsunfollowacts (predicate:non_mutual: truefor accounts you follow that do not follow back, needingfollower.jstoo, or an explicituser_idslist). Emitstwitter.selection.v1carrying a digest-boundtwitter_plan.execute: run an approved plan through the X API behind an approval gate, act by act, sealing per-act provider evidence intotwitter.execution.v1and appending one compact progress fact to a durable execution ledger. A batch is always a contiguous plan prefix and native HTTP stops at the first failed or rate-limited request, so a monotonic cursor—not an accumulated id list—is enough to resume safely.
Resume and the execution ledger
execute is stateless per turn; the state lives in a data-store stream keyed
by the immutable plan digest. The latest twitter.execution.progress.v1 event
contains only next_act_index, total_act_count, an optional in-progress
thread segment cursor, and a bounded summary of the last batch. Its size is
constant whether the plan has completed two acts or two thousand.
The driver reads only the latest ledger event (read_events, limit: 1) and
its stream version. It calls execute with that expected_version and the
canonical key twitter:<plan_digest>:v<expected_version+1>. The runner performs
the same tail read itself and refuses stale or misbound inputs before approval
or provider work. After a committed batch, the driver repeats with the new
version until next_act_index == total_act_count. It never scans history or
folds completed ids. An invalid plan, digest mismatch, stale cursor, or already
complete plan produces a sealed refusal/no-op receipt but does not append a
fake state transition.
Threads use one extra bounded cursor: if segment 1 succeeds and segment 2
fails, progress records the next segment plus the confirmed reply id. The next
batch starts at segment 2 rather than reposting segment 1. The operator binds
data_source_ref to durable local SQLite or another declared data-store
adapter; the skill never opens the database directly.
Each runner emits exactly one packet for its lane: typed evidence with provenance and a content digest, a curated or bulk act plan bound by digest, or provider outcomes bound to the executed plan digest and appended to the ledger.
The act vocabulary, with its consequence class:
| kind | consequence | params |
|---|---|---|
post | public_send | text |
reply | public_send | text, in_reply_to |
quote | public_send | text, quote_of |
thread | public_send | texts (ordered, max 25) |
repost | public_send | post_id |
delete_post | live_mutation | post_id |
unfollow | live_mutation | target_user_id |
mute | live_mutation | target_user_id |
block | live_mutation | target_user_id |
follow | live_mutation | target_user_id |
like | live_mutation | post_id |
Every kind is consequential, so every plan sets
gates.human_approval_required: true. follow, like, and repost are
engagement acts and share a hard cap of 10 per execution. Direct messages are
outside this skill.
When to use this skill
- Promote a release, publish a thread, or reply to a mention on behalf of a named principal, with content bound verbatim in the plan.
- Audit an account's own post history or following list and prune it: bulk delete old posts, unfollow low-value accounts, against operator-stated criteria.
- Gather timeline, mention, or search evidence for downstream research,
triage, or lead skills that consume
twitter.evidence.v1. - Route a
send-asplan onto X as its provider delivery lane.
When not to use this skill
- To send direct messages or manage DM conversations.
- To farm engagement: follow-churn, mass liking, coordinated reposting, or any volume pattern designed to game visibility. The engagement cap is not a budget to fill.
- To mention, reply to, or dogpile users who have not engaged with the principal, at volume.
- To operate an account the operator does not control, or to automate consumer account creation.
- To bypass the approval gate, the act caps, or the operator's spending limit on the pay-per-use API.
Procedure
For the plan runner, build twitter_plan this way:
- Hold one bounded objective. If the ask bundles unrelated jobs (a promo
thread plus a follow purge), return
needs_inputwith the split. - Ground every reference. Ids for
delete_post,unfollow,reply,quote,like,mute, andblockmust come fromevidence_jsonor an explicit operator-supplied id. If the evidence is missing or stale, name it as a blocker; never invent or approximate an id. - Write public content into the act params verbatim: the exact
textortextsto publish, shaped bybrand_contextwhen supplied. Do not plan a summary of what will be written; approval binds the exact words. - Give every act a stable
act_id(act-001onward), itskind,params, itsconsequencefrom the table, and a one-linerationaletied to the objective or the operator's stated criteria. - Apply
operator_policynarrowly. A prune criterion like "no engagement and older than 2023" selects only posts the evidence shows meet it; borderline items go toopen_questions, not into the act list. - Keep the plan small: at most 50 acts, at most 10 engagement acts, threads at most 25 segments. A larger job becomes staged plans.
- Set
decision:readywhen acts are grounded and complete;needs_inputfor missing objective, principal, evidence, or content;rejectfor asks outside the vocabulary or inside the abuse boundaries. - Never place credentials, bearer tokens, raw API dumps, or third-party personal data beyond public ids and handles in the plan.
Edge cases and stop conditions
- Mixed objective: return
needs_inputwith the runner or plan split. - Id not in evidence: blocker; the plan stays
needs_input. - Prune criteria ambiguous: select the unambiguous items, list the rest in
open_questions. - Rate limit during read: the evidence packet returns what it collected
with
stop_conditions: ["rate_limited"]and the reset time. - Oversized user-selection archive: the current two-file
usersselector refuses when either bounded text file exceeds the native read limit; it never treats truncation as an empty following/follower set.read-archiveitself remains paged. Do not claim an oversized users bulk plan was evaluated. - Rate limit during execute: the packet reports
next_act_index,remaining_count, and the reset time. After the reset, read the latest ledger version and invoke the next canonical batch; do not reconstruct ids. - Plan digest mismatch on execute: the apply step refuses and executes nothing. A refusal is receipt evidence, not a fake ledger transition.
- Stale stream version or batch key: refusal before the approval/provider boundary. Re-read the one-event ledger tail and derive the canonical key.
- Partially posted thread: resume from the ledger's
active_threadcursor; never restart the thread from its first confirmed segment. - Approval missing or denied: the execute graph stops at the gate.
- Credentials missing: clean
needs_inputstop naming the environment variables; never a half-configured call. - Fully autonomous live posting requested:
reject; the gate is the contract.
Output schema
twitter.evidence.v1:decision,source(liveorarchive),query,account,items[](typed post or user records with metrics),item_count,truncated,provenance(retrieved_via,request_count,content_digest),rate,blockers[],stop_conditions[].twitter.plan.v1(returned astwitter_plan.datatogether withdigest_result.data.digest):decision(ready,needs_input,reject),objective,principal,acts[](act_id,kind,params,consequence,rationale),gates(human_approval_required,approval_ref),evidence_refs[], optionalcontext_bindings[](packet_digest,applied_rules[]) preserving the exact brand or taste context applied by the planner,open_questions[],blockers[],success_checkpoint.twitter.selection.v1:decision,objective,principal,predicate,matched,scanned,truncated,twitter_plan(atwitter.plan.v1),plan_digest,blockers[]. Thetwitter_planis what a driver hands toexecute, andplan_digestis bound so the approved and executed bytes are provably identical.twitter.execution.v1:decision(executed,partial,stopped,refused),plan_digest,principal,results[](act_id,kind,consequence,status,provider_ref,detail) for the current bounded batch,next_act_index,total_act_count,remaining_count, optionalactive_thread,rate,blockers[], andsuccess_checkpoint. A ready batch also carries the compacttwitter.execution.progress.v1ledger delta.
Worked example
Input: objective "delete my zero-engagement posts from before 2024",
principal account:@example, evidence from
read-archive(query: posts, archive_file: data/tweets.js) showing three matching
posts, operator_policy "keep anything with replies".
Output: decision: ready; three delete_post acts, each carrying the post id
from the evidence and a rationale quoting its age and zero metrics;
gates.human_approval_required: true; one borderline post with two replies
listed in open_questions. Execution then stops at the approval gate, and the
sealed receipt binds the approved digest to the three deletions the provider
confirmed.
Inputs
read:query(required),params,max_items,auth.read-archive:queryand relativearchive_file(required),archive_base(workspacedefault, orskillfor packaged fixtures), andmax_items.plan:objective(required),principal(required),evidence_json,operator_policy,brand_context,operator_context.select:objective(required),principal(required),target(postsdefault, orusers),archive_file(posts),following_fileandfollowers_file(users),predicate(required: posts takert_of,is_retweet,text_prefix,text_contains,max_likes,max_reposts,before_year,after_year; users takenon_mutualoruser_ids),archive_base,max_acts.execute:plan_jsonandplan_digest(required),data_source_ref(required),expected_version(required),idempotency_key(required),max_acts(hard-capped at 50).idempotency_keymust be exactlytwitter:<plan_digest>:v<expected_version+1>; the runner independently verifies both values against the durable one-event tail before execution.
Credentials and cost
Credentials are delivered per run through the runx credential envelope, never as inputs and never as receipt material. Two materials exist:
TWITTER_USER_AUTH: one JSON object holdingconsumer_key,consumer_secret,access_token,access_secret(OAuth 1.0a user context). Required for every mutation and for own-account reads. Store it withrunx credential set twitter --profile twitter-user --auth-mode oauth1_user --from-stdin.TWITTER_BEARER_TOKEN: the app-context bearer token, enough forsearchand public reads. Store it withrunx credential set twitter --profile twitter-app --auth-mode bearer --from-stdin. Read-only app runs should use only this profile.
Use --profile twitter-user with read --auth user and every execute run;
use --profile twitter-app with read --auth app. The runner contract maps the
selected profile's auth mode to exactly one delivery variable. Tool permission
allowlists do not carry credentials. For local development, the same declared
variable can come from the process or workspace .env; if both Twitter
variables are set, Runx refuses the ambiguous selection.
The X API bills per request on current plans and a post containing a link
costs a large multiple of a plain one, so prefer archive exports for bulk
history, set a spending cap in the developer portal, and let max_items and
the act caps bound each run.
Agent task contract
twitter-plan
Follow the plan procedure and act vocabulary above. Return one
twitter_plan containing decision, objective, principal, typed acts,
approval gates, evidence refs, open questions, blockers, and a truthful success
checkpoint. Every referenced post or user id must be grounded in supplied
evidence, and every public word must appear verbatim in the act params. A plan
never executes, publishes, deletes, follows, or otherwise mutates the account.
Signals
- GitHub stars
- 87
- Forks
- 101
- Last commit
- Sep 2026
Advanced
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twitter-runxhq- Source
- github.com/runxhq/runx