qualification

qualification is a skill for Claude Code from riasistemas/claude-channel-instagram. It costs 49 tokens per session (854 once invoked), scanned A, original, Apache-2.0.

A conversation playbook for qualifying people who comment on or message an Instagram account. It can guide the move from a public comment into a private message and the continued DM conversation.

In plain words
What is it for?
Handling Instagram comments and DMs, replying publicly when needed, opening private conversations, referring to the person's message, and continuing qualification in the DM thread.
Why use it?
It gives operators a consistent way to respond to inbound Instagram interest and ask qualifying questions.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions CLAUDE.md.

Part of the instagram plugin — 3 skills, 1 MCP server shipped together

Good fit Handling Instagram comments and DMs, replying publicly when needed, opening private conversations, referring to the person's message, and continuing qualification in the DM thread.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/riasistemas/claude-channel-instagram/qualification
Install

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.

Any agent
npx skills add riasistemas/claude-channel-instagram --skill qualification
Clone the repo
git clone --depth 1 https://github.com/riasistemas/claude-channel-instagram

Made for: Claude Code.

Or install instagram, the plugin that ships this one along with the rest of its 3 skills, 1 MCP server.

Wrote 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.

agentmods badge for qualification

README.md
[![agentmods](https://agentmods.dev/badge/skills/riasistemas/claude-channel-instagram/qualification/github.svg)](https://agentmods.dev/skills/riasistemas/claude-channel-instagram/qualification)
Your own site
<a href="https://agentmods.dev/skills/riasistemas/claude-channel-instagram/qualification"><img src="https://agentmods.dev/badge/skills/riasistemas/claude-channel-instagram/qualification/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.

agentmods 80×15 button for qualification

Your own site · 80×15
<a href="https://agentmods.dev/skills/riasistemas/claude-channel-instagram/qualification"><img src="https://agentmods.dev/badge/skills/riasistemas/claude-channel-instagram/qualification.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 854 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.00854
Opus 5 $0.00024 $0.00427
Sonnet 5 $0.00010 $0.00171
Haiku 4.5 $0.00005 $0.00085

Measured 10d ago against content hash d26342fd27ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

qualification 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 10d 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.

skills/qualification/SKILL.md · 59 lines

How it starts

The opening of the file, as written. The whole thing — 59 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Instagram qualification playbook

Trigger. Any channel notification with source="plugin:instagram:instagram". Inspect meta.kind to decide which path to take.

1. Inbound comment (meta.kind === "comment")

If meta.auto_dm === "true", do BOTH calls in the same response:

  1. reply_comment(chat_id, comment_id, text) — public, brief (max ~12 words), one short sentence such as "Replied in DM 📩" or the equivalent in your locale. Never copy the user's text or sound robotic.
  2. send_private_reply(comment_id, text) — private DM opener that:
    • Greets by meta.crm_name if an extension provided one, else by @username.
    • References ONE concrete signal from the comment (their question, the post topic).
    • Ends with a single, short qualifying question.
    • Length: 1–2 sentences. No decorative emojis.

If meta.auto_dm is absent/false, only reply_comment is appropriate (the operator opted out of the DM bridge).

2. Inbound DM (meta.kind === "dm")

This is the conversation thread. Treat it like any chat surface:

  • Use send_dm(chat_id, text|image_path|audio_path) to reply.
  • Keep messages short (1–3 sentences). Instagram doesn't render markdown tables, so use plain text or short lists.
  • If meta.transcript is present, the user sent audio — read the transcript and reply in kind.
  • If meta.image_path is present, use the Read tool on the path before replying so the response references what they sent.

The qualification cadence (what to ask, in what order, when to escalate) is intentionally NOT prescribed here — every operator has their own funnel. Document yours in CLAUDE.md or in your private extensions.

3. Window restrictions you must respect

  • 24h DM window: free-form replies only within 24h of the user's last DM. After that, send_dm returns an error. The plugin core does not implement the HUMAN_AGENT tag yet (that's reserved for a future minor release behind an opt-in flag); don't try to bypass.
  • Private reply window: 7 days from the comment, one DM per comment. If you've already opened DM via the comment, switch to send_dm for follow-ups.
  • Hours: respect any business-hours rule the operator has configured (defaults vary). Inbound replies are always ok.

Read the full file on GitHub · 59 lines

Changes

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.

  1. 10d ago First seen · 59 lines · 49 tokens per session scan A d26342fd27ec

Subscribe to this mod's changes

qualification is a skill published in the GitHub repository riasistemas/claude-channel-instagram (0 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 49 tokens to every session and 854 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 2026-08-31.

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