New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Ingest

by suboss87 in suboss87/FDEOps

Fetch requested source material and prepare sourced engagement updates.

MITAuto-check passed

Install Ingest

skills CLI
$ npx skills add suboss87/FDEOps --skill ingest -a claude-code

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

GitHub CLI
$ gh skill install suboss87/FDEOps ingest --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/suboss87/FDEOps.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/ingest .claude/skills/ingest && 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
ingest
GitHub stars
954
Token cost
~372 tokens
SKILL.md length
159 words
Files
8 (incl. references)
Skills in repo
34
Repo updated
First seen
Licence
MIT

At a glance

Fetch requested source material and prepare sourced engagement updates.

  • Works in 2 steps: Read the task context contract. → Read the method.
  • Catch up from external notes
  • SKILL.md covers Purpose and Principles
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ingest is an agent skill from suboss87/FDEOps. Fetch requested source material and prepare sourced engagement updates. Use to catch up from external notes or messages; applying updates requires a bound record and confirmation.

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files (for example `.fde-generated.json`, `agents/openai.yaml` and `references/connect.md`).

The repository describes itself as: Forward deployed engineering skills for AI coding agents. The licence is MIT.

When your agent uses it

  • Catch up from external notes
  • Applying updates requires a bound record and confirmation

Example prompts

  • “/ingest”

Workflow steps

2 steps, taken from the first numbered list in SKILL.md.

  1. Read the task context contract.
  2. Read the method.

What it can do on your machine

Read from SKILL.md and the folder at commit 64d1d8a. 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

Ingest loads about 372 tokens when it runs, and up to ~8.3k if it reads all its reference files. Until then it costs about 47 tokens; SKILL.md has 159 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~47
When it runs · the whole SKILL.md, loaded when a task matches
~372
With references · SKILL.md plus every file in references/, read only if the agent opens them
~8.3k

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 suboss87/FDEOps at commit 64d1d8a, republished under its MIT licence (© suboss87). 159 words, ~372 tokens.

Download SKILL.mdSave it as .claude/skills/ingest/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.
name
ingest
description
Fetch requested source material and prepare sourced engagement updates. Use to catch up from external notes or messages; applying updates requires a bound record and confirmation.

ingest

<!-- Generated by bin/generate-skills.js; edit the canonical references and catalog. -->

Purpose

Sourced proposed updates, with confirmed record application when bound.

Before investigating or acting:

  1. Read the task context contract.
  2. Read the method.

Load further references only when the task needs them. Everything linked is included in this skill; no other skill pack is required.

Principles

  • Use permitted supplied material or available source tools to prepare a sourced proposal without requiring an engagement record. CLI staging and reconciliation use a bound engagement; applying updates requires the bound record and confirmation. Do not claim an unbound draft has been saved to engagement memory.
  • If called by @fde, reuse its current sanitized packet and scope. Do not restart setup, discovery or questions already answered.
  • The task context contract controls persistence and authority in both modes. Preserve unknowns and distinguish implementation, verification, deployment and acceptance.
  • Use the customer's repository instructions and available tools. Report a missing capability or unrun check honestly; do not claim that installing a skill provisions infrastructure.

© suboss87, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 7 other files (references) in skills/ingest of suboss87/FDEOps.

  • SKILL.md
  • .fde-generated.json
  • agents/openai.yaml
  • references/connect.md
  • references/debrief.md
  • references/ingest.md
  • references/source-setup.md
  • references/task-context.md

Open the folder on GitHubat commit 64d1d8a

Compare with similar skills

Ingest 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.

Ingest compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ingest this skillsuboss87/FDEOps954—~372Automated safety check: PassMIT
Obsidian Source IngestionGalaxy-Dawn/claude-scholar5.7k—~255Automated safety check: PassMIT
Designing Adversary Engagement With Mitre Engagemukul975/Anthropic-Cybersecurity-Skills34k—~3kAutomated safety check: PassApache-2.0
Update PRremix-run/remix33k—~651Automated safety check: PassMIT
Wiki Ingestpaperclipai/paperclip99k—~933Automated safety check: PassMIT
Audit Preparationsickn33/agentic-awesome-skills47k1 repos~5.3kAutomated safety check: PassMIT

Similar skills

  • Obsidian Source Ingestion

    Galaxy-Dawn/claude-scholar

    A skill your agent uses to ingest external materials into the current project-scoped Obsidian KB as source notes under Sources/Papers, Sources/Web, Sources/Docs, Sources/Data, Sources/Interviews, or…

    5.7k GitHub stars~255 tokensUpdated 15 days ago
    Auto-check passed

  • Designing Adversary Engagement With Mitre Engage

    mukul975/Anthropic-Cybersecurity-Skills

    Plan, run, and measure an adversary engagement operation using the MITRE Engage framework so that deployed deception is driven by strategy instead of deployed ad hoc.

    34k GitHub stars~3k tokensUpdated 1 mo ago
    DevOps & CloudAuto-check passed

  • Update PR

    remix-run/remix

    Update an existing GitHub pull request title and description so they accurately describe the pull request as it exists now.

    33k GitHub stars~651 tokensUpdated today
    DevelopmentAuto-check passed

  • Wiki Ingest

    paperclipai/paperclip

    A skill your agent uses when an operation issue asks to ingest a captured raw/ source into the LLM Wiki, or the user says "ingest <slug".

    99k GitHub stars~933 tokensUpdated today
    Knowledge ManagementAuto-check passed

  • Audit Preparation

    sickn33/agentic-awesome-skills

    Audit preparation register: required document, period covered, request and receipt dates, preparer and reviewer, auditor queries and adjustments.

    47k GitHub starsUsed in 1 repo~5.3k tokens
    Legal & ComplianceAuto-check passed

  • PR Review State Fetch

    prisma/orm

    Official

    Fetches a pull request's canonical review state as JSON, validates it, and renders markdown, a text summary and triage target files from it using bundled scripts.

    48k GitHub stars~767 tokensUpdated today
    DevelopmentAuto-check passed

More from suboss87/FDEOps

All 34 skills in this repo

  • Fde

    suboss87/FDEOps

    Keeps the engagement record for client work. An agent skill from suboss87/FDEOps.

    954 GitHub stars~2.9k tokensUpdated today
    Auto-check passed

  • Audit

    suboss87/FDEOps

    Audit an inherited engagement or implementation against its evidence.

    954 GitHub stars~341 tokensUpdated today
    Auto-check passed

  • Board Memo

    suboss87/FDEOps

    Draft a board or executive summary of an engagement using outcomes, risks and investment decisions.

    954 GitHub stars~343 tokensUpdated today
    Auto-check passed

  • Brief

    suboss87/FDEOps

    Clarify a new customer brief, desired outcome, constraints and evidence gaps.

    954 GitHub stars~339 tokensUpdated today
    Auto-check passed

  • Business Case

    suboss87/FDEOps

    Develop a business case for an initiative using costs, benefits, risks and evidence.

    954 GitHub stars~343 tokensUpdated today
    Auto-check passed

  • Connect

    suboss87/FDEOps

    Configure or diagnose access to a requested source using available host tools.

    954 GitHub stars~354 tokensUpdated today
    Auto-check passed

Questions about Ingest

What does Ingest do?

Fetch requested source material and prepare sourced engagement updates. Ingest is an agent skill from suboss87/FDEOps. Fetch requested source material and prepare sourced engagement updates.

When should I use Ingest?

Ingest fits situations like: catch up from external notes; applying updates requires a bound record and confirmation.

How do I install Ingest in Claude Code?

Run `npx skills add suboss87/FDEOps --skill ingest -a claude-code`. Or copy the skill folder (skills/ingest in suboss87/FDEOps) into .claude/skills/ingest in your project. Claude Code loads it when a task matches its description.

How do I install Ingest in Codex?

Run `npx skills add suboss87/FDEOps --skill ingest -a codex`. Or copy the skill folder (skills/ingest in suboss87/FDEOps) into .agents/skills/ingest in your project. Codex loads it when a task matches its description.

Can I use Ingest 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 suboss87/FDEOps --skill ingest -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ingest, .gemini/skills/ingest, .github/skills/ingest and .opencode/skills/ingest in your project.

What does Ingest need to run?

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

Does Ingest 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 Ingest 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 Ingest use?

Ingest 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 Ingest use?

About 372 tokens (SKILL.md is roughly 1.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 7.9k tokens, read only when the agent opens those files.

What are the alternatives to Ingest?

Skills that share tags, products or a category with Ingest: Obsidian Source Ingestion (Galaxy-Dawn/claude-scholar, 5.7k stars), Designing Adversary Engagement With Mitre Engage (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Update PR (remix-run/remix, 33k stars) and Wiki Ingest (paperclipai/paperclip, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ingest?

suboss87 (a GitHub user) maintains it in suboss87/FDEOps, which has 954 GitHub stars. The repository holds 34 skills in this directory. The repository was last updated on October 8, 2026.

Source: suboss87/FDEOps on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.