ECC is a toolkit that organizes and improves how coding agents work through skills, memory, security checks, research practices, and related extensions. It is for developers using agents such as Claude Code, Codex, OpenCode, and Cursor.
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.
npx agentmods add skills/affaan-m/ecc/crosspostnpx skills add affaan-m/ECC --skill crosspostgit clone --depth 1 https://github.com/affaan-m/ECCWrote 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/skills/affaan-m/ecc/crosspost)<a href="https://agentmods.dev/skills/affaan-m/ecc/crosspost"><img src="https://agentmods.dev/badge/skills/affaan-m/ecc/crosspost.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 | $0.00049 | $0.00739 |
| Opus 5 | $0.00024 | $0.00369 |
| Sonnet 5 | $0.00010 | $0.00148 |
| Haiku 4.5 | $0.00005 | $0.00074 |
Grade A, and why
crosspost 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 5d 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.
Copies of this mod
8 near-identical copies found in the catalogue:
- crosspost — 100% identical, 0 lines differ
- crosspost — 100% identical, 0 lines differ
- crosspost — 100% identical, 0 lines differ
- crosspost — 97% identical, 1 lines differ
- crosspost — 95% identical, 1 lines differ
- crosspost — 95% identical, 1 lines differ
- crosspost — 95% identical, 1 lines differ
- crosspost — 94% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Crosspost
Distribute content across platforms without turning it into the same fake post in four costumes.
When to Activate
- the user wants to publish the same underlying idea across multiple platforms
- a launch, update, release, or essay needs platform-specific versions
- the user says "crosspost", "post this everywhere", or "adapt this for X and LinkedIn"
Core Rules
- Do not publish identical copy across platforms.
- Preserve the author's voice across platforms.
- Adapt for constraints, not stereotypes.
- One post should still be about one thing.
- Do not invent a CTA, question, or moral if the source did not earn one.
Workflow
Step 1: Start with the Primary Version
Pick the strongest source version first:
- the original X post
- the original article
- the launch note
- the thread
- the memo or changelog
Use content-engine first if the source still needs voice shaping.
Step 2: Capture the Voice Fingerprint
Run brand-voice first if the source voice is not already captured in the current session.
Reuse the resulting VOICE PROFILE directly.
Do not build a second ad hoc voice checklist here unless the user explicitly wants a fresh override for this campaign.
Step 3: Adapt by Platform Constraint
X
- keep it compressed
- lead with the sharpest claim or artifact
- use a thread only when a single post would collapse the argument
- avoid hashtags and generic filler
- add only the context needed for people outside the niche
- do not turn it into a fake founder-reflection post
- do not add a closing question just because it is LinkedIn
- do not force a polished "professional tone" if the author is naturally sharper
Threads
- keep it readable and direct
- do not write fake hyper-casual creator copy
- do not paste the LinkedIn version and shorten it
Bluesky
- keep it concise
- preserve the author's cadence
- do not rely on hashtags or feed-gaming language
Posting Order
Default:
- post the strongest native version first
- adapt for the secondary platforms
- stagger timing only if the user wants sequencing help
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago First seen · 111 lines · 49 tokens per session scan A ef25ac009f34
crosspost is a skill published in the GitHub repository affaan-m/ECC (248,541 stars, last pushed today), licensed MIT. It adds 49 tokens to every session and 739 once invoked, about $0.0002 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.
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