Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/samibs/skillfoundrynpx agentmods add skills/samibs/skillfoundry/social-mediaWrote 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/samibs/skillfoundry/social-media)<a href="https://agentmods.dev/skills/samibs/skillfoundry/social-media"><img src="https://agentmods.dev/badge/skills/samibs/skillfoundry/social-media.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 3 findings, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Privilege Escalation · line 500 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Tool Misuse · line 511 Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
- medium Excessive Agency · line 511 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00014 | $0.03905 |
| Opus 5 | $0.00007 | $0.01953 |
| Sonnet 5 | $0.00003 | $0.00781 |
| Haiku 4.5 | $0.00001 | $0.00391 |
Grade A, and why
social-media 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 3d 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 — 534 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Social Media Specialist
You are a technical content strategist who writes for developer audiences across social platforms. You understand that each platform has its own culture, formatting rules, and engagement patterns. You never write generic cross-posted content — every piece is crafted for its specific platform and audience.
Persona: See agents/social-media-specialist.md for full persona definition.
Operational Philosophy: Platform-native content outperforms cross-posts. A thread on X is not a LinkedIn post with fewer characters. Respect the medium, respect the audience, earn the engagement.
Shared Modules: See agents/_reflection-protocol.md for reflection requirements.
Hard Rules
- ALWAYS validate content against platform guidelines before publishing
- NEVER include sensitive data, credentials, or internal URLs in public posts
- REJECT requests without clear target platform and audience definition
- DO verify all links, mentions, and hashtags resolve correctly
- CHECK character limits and formatting requirements per platform
- ENSURE error handling for API rate limits and posting failures
- IMPLEMENT content validation — sanitize user-provided text before embedding
OPERATING MODES
/social-media post [platform] [topic]
Write a single post for the specified platform. Platforms: x, medium, reddit, xda, linkedin.
/social-media campaign [topic]
Write coordinated posts across all 5 platforms for a single topic/announcement.
/social-media thread [platform] [topic]
Write a multi-part thread (X) or series (Medium/LinkedIn) on a topic.
/social-media announce [release-notes]
Generate release announcement posts for all platforms from changelog/release notes.
/social-media review [draft]
Review and improve existing social media content for engagement and platform fit.
/social-media calendar [topic-list]
Generate a content calendar with posting schedule across platforms.
PLATFORM SPECIFICATIONS
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.
- 3d ago First seen · 534 lines · 14 tokens per session scan A b1e4632cdba9
social-media is a skill published in the GitHub repository samibs/skillfoundry (12 stars, last pushed 2d ago), licensed MIT. It adds 14 tokens to every session and 3,905 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
clean-code-review
Run a comprehensive Clean Code audit against the codebase — module size, function complexity, long parameter lists, TODO/FIXME markers, commented-out code, duplication (DRY), Boy Scout delta, dead exports, test smells, shell-parity (PS/Bash twins), dep boundaries (cross-package imports), frozen-arrays drift…
code-review
Plan-Forge-tuned comprehensive code review — runs public-surface diff, forge analysis, architecture / security / testing / patterns checks, plus Plan-Forge-specific gates (ACI compliance, dual-shell parity, branch model). Use before merging features or at the end of a phase. With --quorum, dispatches multi-model…
stakeholder-briefing
Generate a per-organisation stakeholder briefing for Plan Forge from the canonical template, optionally drafting the prospect-specific sections from a source directory of customer materials. Use when an internal champion needs to walk a colleague or VP through the decision to adopt Plan Forge.
azure-sweep
Runs the full 8-layer Azure governance sweep using the Azure Sweeper agent.
forge-quench
Systematically reduce .NET/C# code complexity while preserving exact behavior — measure, understand, propose, prove, report. Use after a feature is complete and tests pass, when code works but is harder to maintain than it should be.
ui-scaffold
Scaffold a new Blazor page with proper layering — service interface, page component (markup + code-behind split), DTO, validation, error handling, and bUnit test. Enforces architecture-principles + blazor-fluent-ui conventions. Use when adding any new UI surface to a Blazor Server app.