Post-mortem on what the user has already posted - which reels actually worked, why, and what to stop making.

MITAuto-check passedDevOps & Cloud

Install Ig Audit

skills CLI
$ npx skills add Jakeschincariol/instagram-agent-skill --skill ig-audit -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Jakeschincariol/instagram-agent-skill ig-audit --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Jakeschincariol/instagram-agent-skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ig-audit .claude/skills/ig-audit && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ig-audit
GitHub stars
760
Token cost
~1.1k tokens
SKILL.md length
534 words
Files
1
Skills in repo
13
Repo updated
First seen
Licence
MIT

At a glance

Post-mortem on what the user has already posted - which reels actually worked, why, and what to stop making.

  • The user pastes their Instagram insights
  • SKILL.md covers Input, What to actually measure, Then find the pattern and The distinction that saves…, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Past posts and asks whats working

What it does

Ig Audit is an agent skill from Jakeschincariol/instagram-agent-skill. Post-mortem on what the user has already posted - which reels actually worked, why, and what to stop making. Use when the user pastes their Instagram insights or past posts and asks "what's working", "why did this flop", "read my analytics", "audit my content", or wants to know what to do more of.

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Runbooks and postmortems. It works with Instagram. The repository describes itself as: Thirteen Claude skills that run an Instagram account: Reels off 26 scored hook formulas, a viral research skill, a caption linter, and a humanizer. Free, MIT. The licence is MIT.

When your agent uses it

  • The user pastes their Instagram insights
  • Past posts and asks whats working
  • Why did this flop
  • Read my analytics

Example prompts

  • “s working”
  • “why did this flop”
  • “read my analytics”
  • “/ig-audit”

What it can do on your machine

Read from SKILL.md and the folder at commit d03c56b. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ig Audit loads about 1.1k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 534 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~77
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Jakeschincariol/instagram-agent-skill at commit d03c56b, republished under its MIT licence (© Jakeschincariol). 534 words, ~1,139 tokens.

Download SKILL.mdSave it as .claude/skills/ig-audit/SKILL.md (or your agent's skills folder).
name
ig-audit
description
Post-mortem on what the user has already posted - which reels actually worked, why, and what to stop making. Use when the user pastes their Instagram insights or past posts and asks "what's working", "why did this flop", "read my analytics", "audit my content", or wants to know what to do more of.

ig-audit

The only honest source of what works for an account is that account. Every rule in every Instagram guide, including the ones in this pack, is a prior. The user's own last 30 posts are the evidence.

Input

Ask for whichever the user has:

  • Insights per post: views, reach, interactions, watch time, saves, shares, follows, and the non-follower share of reach. Screenshots are fine.
  • Or the retention graph for their best and worst recent reels. This one screenshot is worth more than the rest combined.
  • Or just the posts and their view counts, which is enough for a first pass.

Also read ~/.claude/instagram/log.md if it exists, since it records which hook formula each post used.

What to actually measure

Raw views is the least useful number on the page, because it is mostly a function of how many people already follow the account. Compute these instead and show the working:

metrichowwhat it tells you
Outlier multipleviews / the account's own median viewswhether this was a real hit or a normal day
Non-follower reach% of reach from people who do not followwhether it travelled at all
Hold at 3sviewers still there at 3s / viewers who startedwhether the hook worked. This is the hook's grade.
Average watch timestraight from insightswhether the middle worked
Sends per reachshares / reachthe strongest single signal you can earn. A send is a person putting their name on it.
Follows per reachfollows / reachwhether the profile converted the attention

Rank by outlier multiple and sends per reach, not views. A reel with 4,000 views and 90 sends beat the one with 60,000 views and 11.

Show full SKILL.md (255 more words)Show less

Then find the pattern

With the top five and bottom five side by side, look for what separates them, and be willing to conclude something the user will not like:

  • Hold at 3 seconds. If the top and bottom differ here, it is the hook and nothing else, and everything downstream is a distraction.
  • Hook formula. Which ids from ig-reel/hooks.json are in the top five?
  • Format. Reel, carousel, single image.
  • Length. Group into under 15s, 15 to 30s, 30 to 60s, over 60s.
  • Theme.
  • Whether the user replied to comments in the first hour.
  • Day and time. Check this last and only if the others show nothing. It is almost never the cause and it is where people want it to be.

State the finding as a claim with the evidence attached, and say how confident it is. With 30 posts you can see a pattern. With 6 you cannot, and saying so is better than inventing one.

The distinction that saves people months

A reel that gets views and no follows is not a failed reel, it is a profile problem. A reel that gets no views is a hook problem. Separate the two before recommending anything. If non-follower reach is high and follows per reach is low, stop rewriting hooks and go to /ig-profile.

Output

AUDIT  ·  31 posts  ·  Jun 12 - Sep 5  ·  median views 4,100

TOP 5 BY OUTLIER MULTIPLE
  18.2x  #3  Nobody Tells You   74,600 views  62% non-follower  hold@3s 71%  128 sends
   6.4x  #1  Cost Confession    26,300 views  48% non-follower  hold@3s 64%   71 sends
  ...

BOTTOM 5
   0.3x  #11 Numbered            1,200 views  9% non-follower   hold@3s 31%    2 sends
  ...

WHAT THE DATA SAYS
1. Hold at 3 seconds is the whole story. Top five average 66%, bottom five 33%.
   Everything else you are worried about is downstream of the first two seconds.
2. The posts where you were the one who looked bad: mean 8.1x vs 0.9x for
   everything else. n=5. Strongest signal here and it is not close.
3. Tool listicles get views and nothing else. High reach, no sends, no follows.
   Three of your bottom five.
4. Day of week shows nothing. Your Tuesday and Friday means are inside the
   noise. Stop optimising it.

STOP: listicles.
DO MORE: the ones with a cost you paid and a number attached.

Then hand the conclusions to /ig-plan so next week is built on the user's own evidence rather than on defaults, and to /ig-viral so the swipe file gets filtered to the formulas that work for this account specifically.

© Jakeschincariol, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/ig-audit of Jakeschincariol/instagram-agent-skill.

Open the folder on GitHubat commit d03c56b

Compare with similar skills

Ig Audit next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ig Audit compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ig Audit this skillJakeschincariol/instagram-agent-skill760—~1.1kAutomated safety check: PassMIT
Trader Memory Coretradermonty/claude-trading-skills3k2 repos~4.3kAutomated safety check: PassMIT
Author Migrationnrwl/nx29k—~12kAutomated safety check: NotesMIT
Write Notes Like Deepseekczm15053/write-notes-like-deepseek508—~2kAutomated safety check: PassNone
OpenRig Upgrade Proceduremvschwarz/openrig6.6k—~2.9kAutomated safety check: PassApache-2.0
GreptimeDB Release RunbookGreptimeTeam/greptimedb6.7k—~1.4kAutomated safety check: PassApache-2.0

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Works with

Categories

Questions about Ig Audit

What does Ig Audit do?

Post-mortem on what the user has already posted - which reels actually worked, why, and what to stop making. Ig Audit is an agent skill from Jakeschincariol/instagram-agent-skill. Post-mortem on what the user has already posted - which reels actually worked, why, and what to stop making.

When should I use Ig Audit?

Ig Audit fits situations like: the user pastes their Instagram insights; past posts and asks whats working; why did this flop; read my analytics.

How do I install Ig Audit in Claude Code?

Run `npx skills add Jakeschincariol/instagram-agent-skill --skill ig-audit -a claude-code`. Or copy the skill folder (skills/ig-audit in Jakeschincariol/instagram-agent-skill) into .claude/skills/ig-audit in your project. Claude Code loads it when a task matches its description.

How do I install Ig Audit in Codex?

Run `npx skills add Jakeschincariol/instagram-agent-skill --skill ig-audit -a codex`. Or copy the skill folder (skills/ig-audit in Jakeschincariol/instagram-agent-skill) into .agents/skills/ig-audit in your project. Codex loads it when a task matches its description.

Can I use Ig Audit in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Jakeschincariol/instagram-agent-skill --skill ig-audit -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ig-audit, .gemini/skills/ig-audit, .github/skills/ig-audit and .opencode/skills/ig-audit in your project.

What does Ig Audit need to run?

SKILL.md names no scripts, command-line tools or credentials: Ig Audit is instructions for the agent only.

Does Ig Audit access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ig Audit safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ig Audit use?

Ig Audit is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ig Audit use?

About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ig Audit?

Skills that share tags, products or a category with Ig Audit: Trader Memory Core (tradermonty/claude-trading-skills, 3k stars), Author Migration (nrwl/nx, 29k stars), Write Notes Like Deepseek (czm15053/write-notes-like-deepseek, 508 stars) and OpenRig Upgrade Procedure (mvschwarz/openrig, 6.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ig Audit?

Jakeschincariol (a GitHub user) maintains it in Jakeschincariol/instagram-agent-skill, which has 760 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 13, 2026.

Source: Jakeschincariol/instagram-agent-skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.