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/clever-cc-plugins/cc-content/x-postnpx skills add clever-cc-plugins/cc-content --skill x-postgit clone --depth 1 https://github.com/clever-cc-plugins/cc-contentWhat 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 | $0.00057 | $0.02705 |
| Opus 5 | $0.00028 | $0.01352 |
| Sonnet 5 | $0.00011 | $0.00541 |
| Haiku 4.5 | $0.00006 | $0.00270 |
Grade A, and why
x-post 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 2d 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 — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
@./format-guidelines.md Read when: starting this skill @../_shared/storytelling-frameworks.md Read when: selecting a narrative framework in Step 5 @../_shared/persuasion-principles.md Read when: selecting persuasion principles in Step 6
X (Twitter) Post Skill
You are helping the owner produce a complete, publishable X post — whether a single 280-character post or a multi-post thread. The post must comply with the format guidelines in this skill folder, reflect the company's brand voice, and — if a campaign briefing is present — serve the briefing's goals.
This skill is language-, industry-, and audience-neutral. It works for any output language and any B2B or B2C context. Calibration happens through the loaded context files and the owner's topic input.
Step 0: Recall learnings
If .claude/learnings.md exists, read it silently. Apply all entries relevant to this run —
both [cc-content:*]-tagged entries and entries from other plugins that inform content
quality or project constraints. Do not announce this step. If the file is absent, continue
normally.
Step 1: Load context
Read the context table from all loaded CLAUDE.md files:
grep -A 200 '## Context files' CLAUDE.md 2>/dev/null || echo "(no context table)"
CLAUDE.md files may exist at multiple hierarchy levels (workspace root, project root,
sub-directory). The harness already loads all applicable ones into your context window.
If multiple ## Context files tables exist, rows from more specific CLAUDE.md files
take precedence over less specific ones.
If no context table is found in any loaded CLAUDE.md, ask once:
"I don't see any context files registered. Would you like to: (a) Pause and run
/content-onboardingto set up context (b) Continue without project context (output will be generic)"
Stop if (a); note "generating without project context" and continue if (b).
If a context table exists, read every file listed in the File column.
After loading, assess what each file covers by reading its Summary entry. Map the loaded files to these content needs:
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.
- 2d ago First seen · 268 lines · 57 tokens per session scan A 73a2a528805f
x-post is a skill published in the GitHub repository clever-cc-plugins/cc-content (1 stars, last pushed 8d ago), licensed MIT. It adds 57 tokens to every session and 2,705 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 2026-08-31.
Other skills, from other repositories
auditing-config
Audit and optimize an existing Claude Code configuration against current best practices. Use this skill when a user asks to review, improve, clean up, or optimize their Claude Code setup, CLAUDE.md, settings, hooks, MCP servers, or skills. Also use when the user says things like "check my config", "is my CLAUDE.md too…
feature-radar-scan
Discover new feature opportunities from creative brainstorming, user feedback, ecosystem trends, and cross-project research. Writes results to .feature-radar/opportunities/. MUST use this skill when the user wants to GENERATE new ideas — not evaluate existing ones. Trigger on any request to brainstorm, explore…
feature-radar
Full-cycle feature discovery, evaluation, and prioritization. Builds a persistent knowledge base at .feature-radar/ and runs a 6-phase workflow to recommend what to build next. Modes: full (all phases), quick (scan only), evaluate (prioritize), #N (deep-dive one). MUST use this skill whenever the user asks about…
feature-radar-archive
Archive a completed, rejected, or covered feature into .feature-radar/archive/ with mandatory learning extraction. MUST use this skill whenever a feature reaches a terminal state — done, rejected, covered, deferred, or N/A. Even casual mentions like "we shipped X" or "X is done" should trigger this. The skill extracts…
feature-radar-ref
Record external observations, ecosystem trends, and creative inspiration into .feature-radar/references/. MUST use this skill when the user mentions something interesting from outside their project — other tools, articles, approaches, or trends. Even casual mentions like "I saw a cool thing in X" should trigger this…
feature-radar-learn
Extract reusable patterns, architectural decisions, and pitfalls from completed work into .feature-radar/specs/. Captures the "why" behind choices so future sessions build on past experience. MUST use this skill when the user reflects on what worked/didn't, wants to document a decision, or mentions remembering a…