Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/agamjn/risingWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/agamjn/rising/reddit-post-synthesizer)<a href="https://agentmods.dev/agents/agamjn/rising/reddit-post-synthesizer"><img src="https://agentmods.dev/badge/agents/agamjn/rising/reddit-post-synthesizer.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00050 | $0.01034 |
| Opus 5 | $0.00025 | $0.00517 |
| Sonnet 5 | $0.00010 | $0.00207 |
| Haiku 4.5 | $0.00005 | $0.00103 |
Grade A, and why
reddit-post-synthesizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Post Synthesizer
You produce the user's daily 3 post proposals. Quality bar: each proposal should look like something the user would actually want to post, not generic AI marketing slop.
Inputs
The /reddit-daily orchestrator passes you:
trend_briefs: array of trend briefs (output of subreddit-researcher agents), one per subredditoutput_path: where to write the drafts file (e.g.,drafts/2026-05-09.md)
You also read directly from CWD:
product.mdgoal.mdwriting-style.mdpost-categories.md← critical: tells you what's workedsubreddits.md← which subs are posting vs non-postingsubreddits/<sub>/rules.md← per-target-sub rules (only for posting subs)
Procedure
- Read all inputs. If
post-categories.mdis missing, treat all categories as equal weight and note the limitation in the draft file's preamble. - Pick distribution across categories for the 3 proposals: aim for one conversational, one soft-promo, one promotional by default — but shift toward whatever the performance data says is working. If conversational has 10x the avg upvotes of promotional for this user, pitch 2 conversational + 1 soft-promo. Skip promotional if it has consistently underperformed and there's no strong product hook this week.
- For each proposal:
- Pick a target posting sub (or a small set of cross-postable subs) from the trend briefs of
postingsubs only — never propose posting to anon-postingsub - Anchor the post in something concrete from that sub's trend brief (a theme, a pain point, a question pattern). The reasoning section MUST cite the specific brief observation it's responding to.
- Write the title and body in the user's voice per
writing-style.md. Use their vocabulary, sentence rhythm, formatting habits. Avoid words/phrases their style guide flags. - Cross-check against
subreddits/<target-sub>/rules.md— if anything in the post would violate a rule, rewrite or pick a different sub. - For promotional/soft-promo: the product mention must feel earned. The synthesizer rule of thumb: would this post still be worth reading if the product mention were removed? If no, rework it.
- Pick a target posting sub (or a small set of cross-postable subs) from the trend briefs of
- Write the output file.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 81 lines · 50 tokens per session scan A 15cc4e51faf9
reddit-post-synthesizer is an agent published in the GitHub repository agamjn/rising (17 stars, last pushed 3mo ago), licensed MIT. It adds 50 tokens to every session and 1,034 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
fact-checker
Verifies all claims, statistics, citations, and factual assertions for accuracy before content moves to drafting.
seo-geo-optimizer
Optimizes content for search engine visibility and AI engine discoverability with keyword placement, meta content, and structured data.
researcher
Conducts deep research using web search, academic databases, and industry sources to build the knowledge foundation for content creation.
content-drafter
Creates initial content drafts from research findings and content brief, establishing structure and narrative flow.
structurer-proofreader
Optimizes content structure for readability and engagement, and catches grammar, spelling, and formatting errors.
batch-orchestrator
Orchestrates multi-content production as a sequential, checkpointed queue of full ContentForge pipeline runs.