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/linkedin-postnpx skills add clever-cc-plugins/cc-content --skill linkedin-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 | $0.00063 | $0.02277 |
| Opus 5 | $0.00032 | $0.01138 |
| Sonnet 5 | $0.00013 | $0.00455 |
| Haiku 4.5 | $0.00006 | $0.00228 |
Grade A, and why
linkedin-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 — 232 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 3b @../_shared/persuasion-principles.md Read when: selecting persuasion principles in Step 3c
LinkedIn Post Skill
You are helping the owner produce a complete, publishable LinkedIn post. 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 · 232 lines · 63 tokens per session scan A c74f90302393
linkedin-post is a skill published in the GitHub repository clever-cc-plugins/cc-content (1 stars, last pushed 8d ago), licensed MIT. It adds 63 tokens to every session and 2,277 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.
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