Borrowing it
Nothing to install: this file belongs to inklate/social-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/inklate/social-skills/main/AGENTS.mdgit clone --depth 1 https://github.com/inklate/social-skillsWrote 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/instructions/inklate/social-skills/agents-md)<a href="https://agentmods.dev/instructions/inklate/social-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/inklate/social-skills/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/inklate/social-skills/agents-md"><img src="https://agentmods.dev/badge/instructions/inklate/social-skills/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 | $0.01163 | $0.01163 |
| Opus 5.5 | $0.00465 | $0.00465 |
| Sonnet 5.5 | $0.00233 | $0.00233 |
| Haiku 4.5 | $0.00116 | $0.00116 |
Grade A, and why
social-skills AGENTS.md 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 2mo 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 — 35 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Task Completion Requirements
bun run validateandbun run checkmust pass before considering tasks completed.
What this is
Social media skills for AI Agents. It learn your strategy, voice and platform-native format — posts, threads, carousels, reels-ready scripts, ad copy, calendars.
A general, vendor-neutral social-media content skills for any AI agent. Skills live in skills/<name>/SKILL.md (flat — no category folders; categories live in frontmatter and the README table).
Commands
bun run validate— frontmatter schema + agentskills.io hard limits (name ≤ 64 chars, description ≤ 1024), description discovery rules, purity lint across every bundled file (SKILL.md +references//scripts//evals/), cross-repo name-collision check, relative-link resolution, and eval-shape lint.bun run validate:spec— cross-check every skill with the canonicalskills-refvalidator. Runs viauvx/skills-refwhen available; soft-skips (exit 0) otherwise, since it is a demonstration-grade tool, and tolerates top-level Claude Code frontmatter fields it doesn't know (e.g.disable-model-invocation; seeCLAUDE_CODE_EXTRA_FIELDSin the script).validateis the production gate.bun run format/bun run format:check— Prettier (write / check). Generated JSON and the README skill table are excluded so the generator stays their sole authority.bun run build:index— regenerateskills-index.json, the README skill table, and the Claude Code plugin manifests (.claude-plugin/plugin.json+marketplace.json, sourced fromrepo.config.json+package.json). Commit all of them.bun run check— validate + validate:spec + format:check + drift-check (what CI runs).bun run zips— package per-skill zips intodist/zips/.
Rules that gate every change
- Purity (the community-protection principle): no skill file — SKILL.md,
references/,scripts/, orevals/— may mention Inklate, MCP, scheduling APIs, or any provider integration. The README is the ONLY funnel surface in this repo. CI greps every bundled file; reviewers enforce the spirit. - Descriptions are discovery. 3–8 sentences, ≤ 1024 characters (spec limit), ≥ 4 literal trigger phrases in quotes, platform names spelled out, and a mention of
social-context.md. The description is the only signal agents use to auto-trigger. - Frontmatter contract:
name(lowercase-hyphen slug ≤ 64 chars, = folder name),description(≤ 1024), optionallicenseandcompatibility(agentskills.io spec fields), andmetadata.{version (semver), category (Foundation | Create | Ads | Plan | Check), topics (slug list), examplePrompt}. Write YAML in block style — no flow arrays liketopics: [a, b]— so the canonicalskills-refvalidator accepts it. - Body shape: context load → workflow → quality bar → deliverable, ending at the deliverable. A workflow step must check the output against the Quality bar before the deliverable — the bar is a gate, not a passive table. Skills that read
social-context.mdname the sections they read by exact## heading(the Foundation schema: Positioning, Audience, Platforms, Pillars, Voice, Cadence, Goals, Never). A skill may bundlereferences/,scripts/, andevals/; name them from SKILL.md with relative paths, and load heavy reference data on demand (progressive disclosure).social-checkis the worked example. - Self-contained / portable. Skills install individually (via
skills.shand the per-skill zips), so a skill may reference only files inside its own directory — never another skill's files. - Evals. Each skill should ship
evals/evals.json(agentskills.io format:skill_name,evals[]withid/prompt/expected_output/assertions).bun run validatelints their shape. - Names must not collide with
inklate/skills(both repos install into one skills directory). The validator cross-checks the sibling index when reachable. - Scope fence: social only (organic + paid). No SEO/email/CRO skills.
- Naming & shared language. Skill names use a domain-first
social-*family, with platform a constraint inreferences/, not a name (idk, the user-invoked router, is a deliberate exception). Shared domain terms live inCONTEXT.md; use them. Theidkrouter maps the family — whenever you add, rename, or remove a skill, updateidk's Skill map so it never routes to a skill that moved or omits one that exists.
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.
- 2mo ago First seen · 35 lines · 1,163 tokens per session scan A 619d061837e7
social-skills AGENTS.md is an instructions file published in the GitHub repository inklate/social-skills (8 stars, last pushed 3mo ago), licensed MIT. It adds 1,163 tokens to every session, about $0.0047 per session on Opus 5.5. 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.
social-skills AGENTS.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| social-skills AGENTS.mdinklate/social-skills | Instructions file | 8 | 3mo ago | MIT | A | 1,163 | Codex, OpenCode |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 275k | 3d ago | MIT | A | 4,313 | Codex, OpenCode |