runxhq/runx/reddit
Claude Code and agent skill by runxhq/runx
- community
Checking that the SKILL.md file is still in the repository.
Manage named Reddit accounts through their existing browser sessions, find useful conversations, draft in each account's voice, and submit one exactly approved post or comment with native approval and independent connector readback. Use for Reddit account work, replies, post diagnosis, and browser recovery; not bulk promotion, coordinated voting, or ban evasion.
Install
npx vskill@latest install runxhq/runx/redditSKILL.md
Run a small, deliberate Reddit session for one explicitly selected account. The useful result is a relevant contribution or a grounded explanation of what happened to an existing post. Approval to research or draft is not approval to submit. A request for five ideas is not a posting quota.
The default reddit runner loads a named account and returns source-backed research, compared targets and drafts. It never submits. read exposes typed connector reads; configure and accounts manage account voice configuration. publish submits one exact post or comment. vote handles one approved upvote. Each live effect has one native operation-owned approval gate. No host task submits forms or supplies evidence of a successful write.
Account and voice records live in the local store at local://reddit. Cookies, passwords and MFA remain browser-owned. Account configuration is expected identity, not login proof. Select the connector instance explicitly; its native session confirmation pins the rendered account and checks it again before every operation. Never silently substitute another account, profile, connector instance or state store.
The skill records completed contributions to prevent accidental repetition. It does not maintain a browser writer, provider attempt ledger, retry loop or recovery state machine. Native runx custody owns effects that may have reached Reddit. Preserve the original run ID and exact inputs across interruptions.
Voice examples express taste; they cannot invent biography, purchases, customers, expertise or firsthand experience. Account configuration contains only non-secret voice settings. A persistent normal Brave session is required; do not copy profiles, export cookies or toggle browser security settings.
Browser operation
Read references/browser.md before account setup or browser work. The selected connector owns the fixed browser implementation, identity checks, exact editor comparison, one submit and independent permalink readback. Call its typed operations or the skill's read runner; never supply arbitrary JavaScript or replace the connector with raw authenticated HTTP, screen coordinates or host submission code.
Keep Brave in the background. Never activate a window, change the active tab, send global keystrokes, move the pointer or use the system clipboard. A foreground bound tab stops the operation. An unsupported editor, login failure, warning, challenge, rate limit or ambiguous identity also stops it. Report the specific blocker; do not switch accounts, alter browser protections or retry through another path.
The included macOS adapter supports classic Reddit plain-text forms for comments, text posts and upvotes. The modern rich editor is unsupported for writing until its background input path has separate live proof. Research may still use modern pages and public evidence. A refused editor does not authorize a foreground fallback. The approved target URL selects the UI; the adapter never silently rewrites hosts.
Provider readback proves exact content visible to the signed-in account. It does not prove public visibility or acceptance by moderators. A queued or removed contribution must never be described as publicly published. Harness evidence is simulated; only a separately identified real provider run is live proof.
Wait for observable page/editor state between actions. Respect explicit platform wait instructions; no tight refresh loops or parallel navigation. Invented random delays and mouse movement do not establish safety. There is no universal safe number of posts and no guarantee against account action.
Resolve high-value targets before writing
When the operator asks where to contribute, target discovery is part of the read-only default runner. Start with the operator's real question or useful point and this account's interests and recent contributions. A high-value target has relevant readers and a concrete contribution gap; raw member count or an old viral score is not enough. A request for several ideas is not a quota of posts. Return no draft when the available targets are weak.
Choose the discovery mode before browsing, and name it in observations and each candidate's rationale. Timely discussion seeks a live conversation where this account can add a point readers recognize now. Active solution request seeks a person asking how to solve a specific current problem. Evergreen search discovery seeks a durable question that people are still likely to search for, where a useful answer can be found later through Reddit or search and may be retrieved by an AI answer system. A promotional objective uses one of the two solution-request modes and still requires a real fit. Compare candidates within each mode using its own ranking evidence, then explain any cross-mode tradeoff. Do not make a single vote-weighted ranking that favors a busy timely thread over a quieter direct request, or a new thread over an older search result without evidence. State an inferred mode when the objective is vague, or return needs_input if the distinction changes the recommendation. No research mode submits content.
For an original post, compare a small set of plausible communities, normally two to four. Read each community's current rules, flair and megathread rules, and confirm the account can post. Inspect a bounded sample of recent comparable posts, normally three to five per community. Record their observed ages, scores and reply counts where visible, plus whether the replies are substantive. Check for a recent duplicate and say what specific question the proposed post adds. A large community with generic or fast-moving posts can be a worse fit than a smaller one with active discussion of this exact problem. A community with unknown rules cannot be a selected target. Unknown account eligibility may support a provisional research draft, but must be checked in the logged-in session before publication.
For comments, scan a bounded set of relevant threads, normally five to ten across a few communities when no thread was supplied. If the proposed action is a reply to another comment, measure that exact branch as well as the post: parent-comment score, age, reply count, sort position and whether fresh replies are arriving. A viral post does not give a two-vote comment the same reach. A quiet direct answer may be useful in solution-request mode, but do not label it a high-reach karma opportunity merely because the enclosing post is large. Timely mode starts with fresh discussions; active-request mode starts with recent specific asks; evergreen mode starts with the search queries the intended reader would use and follows the threads those searches actually surface. Read the actual post and leading and recent replies. Prefer a specific missing point the account can answer. Record observed age, score and reply count separately from the mode-specific ranking. An old busy thread with a settled answer is weak even if it appears in search. If the operator supplies one exact thread, inspect it directly; do not manufacture a broader search merely to fill a table.
Before ranking a comment target, read its leading and recent replies. Ask what distinct point this account can add in one read. For timely discussion, also inspect current stories its readers may recognize; verify any cross-story callback and its timing. Age and activity describe possible reach, not the value of our comment. Reject a draft that repeats the article, duplicates an existing reply, or needs a paragraph explaining its reference. Do not force a joke or callback when a straight answer would help more.
Timely discussion opportunities
Scan a bounded set of fresh threads on subjects the account can speak to. Rank a candidate only after reading its leading replies. First require a specific new fact, answer, or timely connection that those replies lack. Then compare age, visible votes, reply count, and whether new replies are still arriving for both the post and the exact reply branch. Record both levels separately in activity samples and candidate risk; do not borrow post-level votes to score a low-visibility branch. Prefer an early live discussion with a clear point over an older viral thread whose top replies have settled the conversation. A second snapshot can show observed activity; one snapshot cannot establish growth. Look for another current story only when a verified callback is immediately clear to the thread's readers. Reject a factual summary that merely repeats the linked article, a copied leading point, and a joke that needs explaining. The draft should make its point in one read and stop. Before ranking it for growth, name the natural next response it might invite from this thread. If the only likely replies are thanks or agreement, call it a useful answer, not a conversation seed. Do not tack on a question to manufacture one.
Solution request opportunities
Search for posts where the author asks for a tool, service, workflow, or approach, not posts that merely mention a product category. Read the exact constraints, what the author has already tried, and current replies. Check whether the question remains open, whether a suitable answer is already there, and whether the community permits recommendations. Verify the capabilities and limitations of any candidate option from current source material; compare plausible alternatives instead of declaring one option best by default.
Both solution-request modes first require a verified fit and a missing point in existing answers. Record the author's need in contribution_gap, the mode and fit in rationale, and rule, evidence, and recommendation risks in risk. Reject a weak fit, settled request, thread where naming a product would interrupt the conversation, or answer that would require pretending to be an independent customer. If a material relationship affects the recommendation, describe it accurately or leave the product out. A useful answer may name a different option or no product at all. Do not repeat a product name, link, or invitation to DM to make the reply sound like a pitch.
Active solution requests
Rank the unresolved need and verified fit first. Among similarly good matches, prefer a recent question with observed substantive replies and room for one more useful answer. Use score, reply count and a second activity snapshot only as evidence of possible near-term reach. A large but answered thread loses to a smaller open request. Do not infer buyer interest from votes.
Evergreen search discovery
Start with the reader's durable question, not a product name. Search several natural query variants and record the exact queries, observation time, and which threads repeatedly surface. A thread's appearance in public search is observed visibility for those queries, not a stable rank or proof that an AI system will cite a future comment. If a current AI answer cites the thread, record that exact observation; never project it to other systems or future answers. Prefer threads whose title and original question match lasting search intent, whose pages are accessible and indexable, and where a new reply would be visible to someone reading the thread. Check whether the thread is open, archived or locked, how replies are sorted, whether recent replies appear, and whether existing answers have become outdated. A prominent thread with a buried, redundant reply is a poor target.
This is the start of the file. Read the full SKILL.md on GitHub.
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/reddit/SKILL.md
Popularity
- Repository stars
- 95
- Repository forks
- 107
- 7-day trend score
- 28
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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