Agent skill

Challenge

by agentii-ai in agentii-ai/agentii-investment-intelligence

Apache-2.0Auto-check passedEducation

Install Challenge

skills CLI

$ npx skills add agentii-ai/agentii-investment-intelligence --skill challenge -a claude-code

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

GitHub CLI

$ gh skill install agentii-ai/agentii-investment-intelligence challenge --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/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/vertical-plugins/scenarios/skills/agentii/challenge .claude/skills/challenge && 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/

Paste into Claude Code

Install the "challenge" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/scenarios/skills/agentii/challenge into .claude/skills/challenge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/scenarios/skills/agentii/challenge

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add agentii-ai/agentii-investment-intelligence --skill challenge -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install agentii-ai/agentii-investment-intelligence challenge --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/vertical-plugins/scenarios/skills/agentii/challenge .agents/skills/challenge && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "challenge" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/scenarios/skills/agentii/challenge into .agents/skills/challenge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add agentii-ai/agentii-investment-intelligence --skill challenge -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install agentii-ai/agentii-investment-intelligence challenge --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/vertical-plugins/scenarios/skills/agentii/challenge .cursor/skills/challenge && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "challenge" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/scenarios/skills/agentii/challenge into .cursor/skills/challenge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/agentii-ai/agentii-investment-intelligence.git --path plugins/vertical-plugins/scenarios/skills/agentii/challenge

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add agentii-ai/agentii-investment-intelligence --skill challenge -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install agentii-ai/agentii-investment-intelligence challenge --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/vertical-plugins/scenarios/skills/agentii/challenge .gemini/skills/challenge && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "challenge" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/scenarios/skills/agentii/challenge into .gemini/skills/challenge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install agentii-ai/agentii-investment-intelligence challenge

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add agentii-ai/agentii-investment-intelligence --skill challenge -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/vertical-plugins/scenarios/skills/agentii/challenge .github/skills/challenge && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "challenge" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/scenarios/skills/agentii/challenge into .github/skills/challenge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add agentii-ai/agentii-investment-intelligence --skill challenge -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install agentii-ai/agentii-investment-intelligence challenge --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/vertical-plugins/scenarios/skills/agentii/challenge .opencode/skills/challenge && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "challenge" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/vertical-plugins/scenarios/skills/agentii/challenge into .opencode/skills/challenge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "challenge", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: challenge
GitHub stars: 207
Token cost: ~735 tokens
SKILL.md length: 207 words
Files: 2 (incl. references)
Skills in repo: 79
Repo updated: Sep 29, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Works in 4 steps: Cross-run contradiction — the entity… → Pre-mortem — assume the loss already… → Inversion — what would make this thesis… → …
Tasks that involve Essays and academic help
SKILL.md covers Method bodies (the four angles), Economics (Q40/Q68) and Invocation
Calls python3

What it does

Challenge is an agent skill from agentii-ai/agentii-investment-intelligence. Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion (Munger: invert, always invert), and wrongif falsifiability review. ≈50-finding cap sorted by severity; content-derived finding IDs; incremental scoping with three backstops; lifecycle hooks at pillar-complete / thesis-complete / pre-reduction.

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/modes.md`).

It sits in Education, covering Essays and academic help. The repository describes itself as: Claude-type skills for institutional equity research — 25 AI agent skills with SEC filings, XBRL financials, earnings calendars, DCF/comps/LBO models, and PPT generation. Powered… The licence is Apache-2.0.

When your agent uses it

Tasks that involve Essays and academic help

Example prompts

“/challenge”

Requirements

Python 3

Workflow steps

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

Cross-run contradiction — the entity index (reduce_journals.build_entity_index)
Pre-mortem — assume the loss already happened; reconstruct the path
Inversion — what would make this thesis a sell? What would the bear's
wrong_if falsifiability — is each falsifier mechanically checkable

What it can do on your machine

Read from SKILL.md and the folder at commit 86980e1. 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
Shell commands in SKILL.md call:
- python3
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

Challenge loads about 735 tokens when it runs, and up to ~863 if it reads all its reference files. Until then it costs about 113 tokens; SKILL.md has 207 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~113
When it runs · the whole SKILL.md, loaded when a task matches: ~735
With references · SKILL.md plus every file in references/, read only if the agent opens them: ~863

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 agentii-ai/agentii-investment-intelligence at commit 86980e1, republished under its Apache-2.0 licence (© agentii-ai). 207 words, ~735 tokens.

Download SKILL.mdSave it as .claude/skills/challenge/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: challenge
description: Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion (Munger: invert, always invert), and wrong_if falsifiability review. ≈50-finding cap sorted by severity; content-derived finding IDs; incremental scoping with three backstops; lifecycle hooks at pillar-complete / thesis-complete / pre-reduction.
role: kit
market_data_stage: none

agentii.challenge

The buyer-side IC verb: challenge the thesis. Not audit — that name was taken three times (audit-xls, quality-audit.yaml, G3) — challenge is the thing that happens in an investment committee.

Method bodies (the four angles)

Cross-run contradiction — the entity index (reduce_journals.build_entity_index): same (entity, metric, period) with different values. Same retrieved_at → true contradiction; different → suspected restatement. The validator never auto-resolves — candidates go to the IC agenda.
Pre-mortem — assume the loss already happened; reconstruct the path backwards. Which pillar failed first? What data would have to be wrong?
Inversion — what would make this thesis a sell? What would the bear's best case look like? What would falsify the conviction, not just the claim?
wrong_if falsifiability — is each falsifier mechanically checkable (metric + threshold + source)? A prose falsifier is not a falsifier (Q8-4).

Economics (Q40/Q68)

Findings: ≈50 cap, severity-sorted; overflow aggregates by category.
Finding IDs are content-derived (hash(entity+metric+period+gap_type)) — unchanged re-runs yield byte-identical IDs (eval corpus comparability).
Scope is incremental (artifacts whose pins/as_of changed since last run) with three backstops: every Nth converge / constitution MINOR-MAJOR / subscription change (new subscriptions create new comparison pairs — Q9).
Lifecycle hooks: pillar-complete (cheap, early) / thesis-complete (final line) / pre-reduction (claims entering the portfolio are adversarially verified). Unchallenged claims never enter the knowledge base (Q64).

Invocation

bash

# Resolve the kit root first — contracts/kit-root.md. The kit's scripts do NOT ship
# with the skills, so never assume the CWD is the checkout.
KIT=""
for c in "${AGENTII_KIT_ROOT:-}" \
         "$(cat "$HOME/.claude/skills/agentii/.kit-root" 2>/dev/null)" \
         "${CLAUDE_PLUGIN_ROOT:-}"; do
  [ -n "$c" ] && [ -f "$c/scripts/agentii_cmd.py" ] && { KIT="$c"; break; }
done
if [ -z "$KIT" ]; then d="$PWD"; while [ "$d" != "/" ]; do
  [ -f "$d/scripts/agentii_cmd.py" ] && { KIT="$d"; break; }; d="$(dirname "$d")"; done; fi
[ -n "$KIT" ] || { echo "agentii kit not found — see contracts/kit-root.md" >&2; exit 1; }

python3 "$KIT/scripts/challenge.py" --nth-converge 10

Files

SKILL.md and 1 other file (references) in plugins/vertical-plugins/scenarios/skills/agentii/challenge of agentii-ai/agentii-investment-intelligence.

SKILL.md
references/modes.md

Open the folder on GitHubat commit 86980e1

Compare with similar skills

Challenge 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.

Challenge compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Challenge this skillagentii-ai/agentii-investment-intelligence	207	—	~735	Automated safety check: Pass	Apache-2.0	9 days ago
Academic Paper StrategistAAASS554/codex-academic-paper-skills	539	1 repos	~2.7k	Automated safety check: Pass	MIT	3 mo ago
Modeling Paper Rubric and Model Selectoryushui2022/MathModel-Skill	452	1 repos	~1.8k	Automated safety check: Pass	MIT	yesterday
Humanities Thesisganzhi-black/humanities-thesis-skill	630	—	~1.7k	Automated safety check: Pass	MIT	5 mo ago
Skill Thesis Writeryanlin-cheng/skill-thesis-writer	207	—	~1.6k	Automated safety check: Pass	Custom licence	5 mo ago
Thesis CreatorStars-OC/thesis-creator	228	—	~2.8k	Automated safety check: Pass	MIT	4 mo ago

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All 79 skills in this repo

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Constitution
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Implement
agentii-ai/agentii-investment-intelligence
Execute research tasks — checklist soft gate, phase dispatch with explicit thesisdir, budget enforcement (halt + approval card on overrun), skillpin recording (versionhash content-hashed per skill…
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Tasks
agentii-ai/agentii-investment-intelligence
Decompose the plan into research tasks — one task per ticker × skill × mode, grouped by pillar, [P]-marked by the different-files-and-no-incomplete-deps rule, with source-refs.
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Chart Patterns
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Converge
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Questions about Challenge

What does Challenge do?

Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion…. Challenge is an agent skill from agentii-ai/agentii-investment-intelligence. Adversarial verification of research theses — cross-run/cross-thesis contradiction via the entity index, pre-mortem (Klarman/Kahneman: assume the loss already happened, reverse the path), inversion (Munger: invert, always invert), and wrongif falsifiability review.

When should I use Challenge?

Challenge fits situations like: tasks that involve Essays and academic help.

How do I install Challenge in Claude Code?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill challenge -a claude-code`. Or copy the skill folder (plugins/vertical-plugins/scenarios/skills/agentii/challenge in agentii-ai/agentii-investment-intelligence) into .claude/skills/challenge in your project. Claude Code loads it when a task matches its description.

How do I install Challenge in Codex?

Run `npx skills add agentii-ai/agentii-investment-intelligence --skill challenge -a codex`. Or copy the skill folder (plugins/vertical-plugins/scenarios/skills/agentii/challenge in agentii-ai/agentii-investment-intelligence) into .agents/skills/challenge in your project. Codex loads it when a task matches its description.

Can I use Challenge 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 agentii-ai/agentii-investment-intelligence --skill challenge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/challenge, .gemini/skills/challenge, .github/skills/challenge and .opencode/skills/challenge in your project.

What does Challenge need to run?

Going by SKILL.md and its folder, Challenge needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Challenge 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 Challenge 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 Challenge use?

Challenge is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Challenge use?

About 735 tokens (SKILL.md is roughly 2.9k 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 128 tokens, read only when the agent opens those files.

What are the alternatives to Challenge?

Skills that share tags, products or a category with Challenge: Academic Paper Strategist (AAASS554/codex-academic-paper-skills, 539 stars), Modeling Paper Rubric and Model Selector (yushui2022/MathModel-Skill, 452 stars), Humanities Thesis (ganzhi-black/humanities-thesis-skill, 630 stars) and Skill Thesis Writer (yanlin-cheng/skill-thesis-writer, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Challenge?

agentii-ai (a GitHub user) maintains it in agentii-ai/agentii-investment-intelligence, which has 207 GitHub stars. The repository holds 79 skills in this directory. The repository was last updated on September 29, 2026.

Source: agentii-ai/agentii-investment-intelligence on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Challenge

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

agentii.challenge

Method bodies (the four angles)

Economics (Q40/Q68)

Invocation

Files

Compare with similar skills

Similar skills

More from agentii-ai/agentii-investment-intelligence

Related

Questions about Challenge