Threat Detection
alirezarezvani/claude-skills
A skill your agent uses when hunting for threats in an environment, analyzing IOCs, or detecting behavioral anomalies in telemetry.
Turnaround analysis, stagnation detection, performance inflection, operational improvement, restructuring analysis, management change impact, cost cutting effectiveness, business transformation…
Apache-2.0Auto-check passed
Install Turnaround
$ npx skills add agentii-ai/agentii-investment-intelligence --skill turnaround -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence turnaround --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround .claude/skills/turnaround && rm -rf skills-srcUse ~/.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/
Install the "turnaround" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround into .claude/skills/turnaround/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turnaround", 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 install https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaroundType 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.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill turnaround -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence turnaround --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround .agents/skills/turnaround && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "turnaround" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround into .agents/skills/turnaround/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turnaround", 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.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill turnaround -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence turnaround --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround .cursor/skills/turnaround && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "turnaround" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround into .cursor/skills/turnaround/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turnaround", 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 https://github.com/agentii-ai/agentii-investment-intelligence.git --path plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill turnaround -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence turnaround --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround .gemini/skills/turnaround && rm -rf skills-srcUse ~/.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/
Install the "turnaround" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround into .gemini/skills/turnaround/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turnaround", 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.
$ gh skill install agentii-ai/agentii-investment-intelligence turnaroundInstalls 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).
$ npx skills add agentii-ai/agentii-investment-intelligence --skill turnaround -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround .github/skills/turnaround && rm -rf skills-srcUse ~/.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/
Install the "turnaround" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround into .github/skills/turnaround/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turnaround", 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.
$ npx skills add agentii-ai/agentii-investment-intelligence --skill turnaround -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install agentii-ai/agentii-investment-intelligence turnaround --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/agentii-ai/agentii-investment-intelligence.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround .opencode/skills/turnaround && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "turnaround" agent skill from https://github.com/agentii-ai/agentii-investment-intelligence/tree/main/plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround into .opencode/skills/turnaround/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "turnaround", 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
turnaround- GitHub stars
- 207
- Token cost
- ~2k tokens
- SKILL.md length
- 763 words
- Files
- 6 (incl. references)
- Skills in repo
- 79
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Turnaround analysis, stagnation detection, performance inflection, operational improvement, restructuring analysis, management change impact, cost cutting effectiveness, business transformation…
- Works in 5 steps: Executive Summary — headline conclusions… → Core analysis sections — per this… → Data classification — tag findings… → …
- SKILL.md covers Preflight, Triggers, Defaults and Methodology, plus 6 more sections
- Reaches agentii.ai
What it does
Turnaround is an agent skill from agentii-ai/agentii-investment-intelligence. Turnaround analysis, stagnation detection, performance inflection, operational improvement, restructuring analysis, management change impact, cost cutting effectiveness, business transformation, recovery trajectory, operational metrics improvement
Its SKILL.md is about 2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `references/knowledge-frameworks.md`, `references/life-cycle-methodology.md` and `references/modes.md`).
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.
Example prompts
- “/turnaround”
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Executive Summary — headline conclusions (≤200 words).
- Core analysis sections — per this skill's methodology and analyst modes.
- Data classification — tag findings [FACT] / [DEDUCTED] / [VIEW] per contracts/snapshot-synthesis.md.
- Coverage Gaps & Citations — coverage gaps are required; inline /v/ citations are the citation surface (immediately after each fact). A…
- Output frontmatter — emit the FR-090 structured block per contracts/output-frontmatter-schema.md.
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
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
Hosts in commands or code, which the agent is likely to contact:
agentii.ai
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
Turnaround loads about 2k tokens when it runs, and up to ~5.9k if it reads all its reference files. Until then it costs about 65 tokens; SKILL.md has 763 words of instructions outside code blocks.
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). 763 words, ~1,979 tokens.
Download SKILL.mdSave it as
.claude/skills/turnaround/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.- name
- turnaround
- description
- Turnaround analysis, stagnation detection, performance inflection, operational improvement, restructuring analysis, management change impact, cost cutting effectiveness, business transformation, recovery trajectory, operational metrics improvement
- multi_ticker_semantics
- single_target
- essentials_modes
- performance-stagnation-detection-and-classification, growth-catalyst-identification-and-assessment, growth-catalyst-execution-monitoring-and-progress-assessment
- temporal_scope.default_quarters
- 4
- temporal_scope.max_quarters
- 10
- temporal_scope.description
- Typical lookback: 4 quarters, max: 10
- retrieval_scope
- unstructured_document_search
- min_tool_diversity
- 10
<!-- analog: thesis-tracker -->Preflight
Run canonical pre-flight per contracts/preflight.md.
Include the X-Agentii-Trace header on every tool call per contracts/x-agentii-trace-header.md — carry the _run_id from your first tool result and name yourself (and your parent, if you were spawned).
Triggers
- analyze turnaround stagnation
- run turnaround stagnation analysis
- produce turnaround stagnation report
- turnaround stagnation breakdown
- turnaround stagnation deep dive
- build a turnaround stagnation
- assess turnaround stagnation
- quantify turnaround stagnation
- compare turnaround stagnation across peers
- review turnaround stagnation for
- generate turnaround stagnation on
- turnaround stagnation for investment decision
Defaults
| Parameter | Default | Notes |
|---|---|---|
| lookback_quarters | 4 | Historical data window — matches temporal_scope.default_quarters |
| include_peers | false | Whether to surface a peer comparison block |
Methodology
Retrieval Scope
This skill performs unstructured document search at scale (10-K, 10-Q, 8-K filings and earnings call transcripts spanning multiple fiscal periods). The three-layer agent-use-ready retrieval protocol (Document Discovery → Page Map → Deep Read) applies to all unstructured document search at scale.
Retrieval Strategy
Follow the retrieval strategy decision tree in contracts/retrieval.md. This skill uses:
- Branch (a) for structured financial metrics via
search_xbrl_factswithlist_xbrl_conceptspre-condition for unfamiliar concepts. - Branch (c) for single-period document queries via direct
read_source_outline→read_source_pages. - Branch (d) for simple lookups via
get_company_profile/search_earnings_calendar.
**Layer 1 secondary_label allowlist **: prefer ?secondary_labels=results_of_operations_8_01,other_events_8_01 to surface restructuring, cost-action, and operational-inflection 8-Ks before Layer 2.
Read before you quote. A page's description is platform-generated — it is never the issuer's
words and must never be quoted as the filing's. When a description identifies a relevant page,
read_source_pages that page and quote its page_content. The description is a pointer, not a
source: a citation written from one is the fabricated quote this skill's output standard exists to
prevent (contracts/retrieval.md § Three-Layer Document Protocol).
Temporal Scope
Default: 8 fiscal quarters (max 16). Turnaround/stagnation: 8 quarters for operational trend detection and inflection-point analysis
Tool Allowlist
See frontmatter allowed_tools.
Protocol
This skill delivers analyst-grade output via 9 addressable mode(s); invoke with --mode=<slug> / --modes=<slug1>,<slug2> / --mode=all (see Mode syntax. The default invocation (no flag) runs the essentials_modes subset declared in this skill's frontmatter.
Analyst Modes
This skill exposes addressable analysis modes (--mode=<slug> / --modes=<s1>,<s2> / --mode=all; see Mode syntax). The full mode definitions and their output templates live in references/modes.md. The default invocation runs the essentials subset.
Tool Fallbacks
Per-tool failure modes and fallback actions are tabulated in references/tool-fallbacks.md.
Output File
Write the final deliverable to {ticker}/{YYYY-MM-DD_HHMM}_turnaround_turnaround-assessment.md .
Show full SKILL.md (387 more words)Show less
Output Structure
The deliverable is a structured markdown report written to the path in ## Output File. Full section-by-section template (headings, tables, and field definitions) lives in references/output-structure.md. Required elements:
- Executive Summary — headline conclusions (≤200 words).
- Core analysis sections — per this skill's methodology and analyst modes.
- Data classification — tag findings
[FACT]/[DEDUCTED]/[VIEW]percontracts/snapshot-synthesis.md. - Coverage Gaps & Citations — coverage gaps are required; inline
/v/citations are the citation surface (immediately after each fact). A bottom roll-up index is optional, and where kept it must not repeat a link the prose already carries. - Output frontmatter — emit the FR-090 structured block per
contracts/output-frontmatter-schema.md.
Citations & memory: follow contracts/citation-and-memory.md — ≥1 citation per 200 words; every material fact, table row, and metric is immediately followed by its inline clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link; citations belong inline, a bottom roll-up index is optional and never a repeat of a link already given; the closing TUI reply includes a compact Key Citations list (headline 5–10 facts) of clickable /v/ URLs; and append the run to agentii.md per contracts/agentii-md-schema.md.
Memory & Snapshot
- Memory load (pre-flight): load prior workspace context for the ticker before retrieval — see
contracts/memory-load.md. - Structured output frontmatter: emit the FR-090 block (
key_metrics,conclusions,facts_count,deducted_count,views_count,citation_count) percontracts/output-frontmatter-schema.md. - Snapshot synthesis: after writing the deliverable, update the two-tier snapshot and classify findings as
[FACT]/[DEDUCTED]/[VIEW]— seecontracts/snapshot-synthesis.md. - Session archival: record the run under
sessions/{YYYY-MM-DD}/and updatesessions/INDEX.mdpercontracts/session-format.md.
Final Summary (TUI)
End the closing chat reply with the summary shape in contracts/citation-and-memory.md — Citation Placement Policy item 3: title · key conclusions · key metrics · Executive Summary · Key Citations (the headline 5–10 facts, each a clickable https://agentii.ai/v/{ticker}/{citation_id}/{N} link), so the user can cmd+click straight to the exact SEC page without opening the file.
Error Handling
| Failure Mode | Detection | Action | User-Facing Message |
|---|---|---|---|
| Missing data | Data API returns empty result set | Widen date range and retry once | "No data available for {ticker} in requested window." |
| Partial data | Data API returns <80% expected records | Proceed with coverage gaps section | "Analysis based on partial data; see Coverage Gaps section." |
| Sector mismatch | Peer sector != target sector | Filter out mismatched peers | "Removed {n} peer(s) due to sector mismatch." |
| Insufficient history | Ticker <3 years on public markets | Downgrade to limited-history profile | "Limited historical data; analysis adjusted accordingly." |
| MCP unreachable | Preflight probe fails | Halt with actionable error | "agentii data plane unreachable; check connection." |
© agentii-ai, Apache-2.0. 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 5 other files (references) in plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround of agentii-ai/agentii-investment-intelligence.
- SKILL.md
- references/knowledge-frameworks.md
- references/life-cycle-methodology.md
- references/modes.md
- references/output-structure.md
- references/tool-fallbacks.md
Open the folder on GitHubat commit 86980e1
Compare with similar skills
Turnaround 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Turnaround this skillagentii-ai/agentii-investment-intelligence | 207 | — | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Threat Detectionalirezarezvani/claude-skills | 28k | — | ~3.5k | Automated safety check: Pass | MIT | |
| Detecting Arp Poisoning In Network Trafficmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3.8k | Automated safety check: Notes | Apache-2.0 | |
| Detecting Container Runtime Threats With Falcomukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~3k | Automated safety check: Warn | Apache-2.0 | |
| It Operationsdavila7/claude-code-templates | 33k | 1 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Building Detection Rules With Sigmamukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~2.7k | Automated safety check: Pass | Apache-2.0 |
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Questions about Turnaround
What does Turnaround do?
Turnaround analysis, stagnation detection, performance inflection, operational improvement, restructuring analysis, management change impact, cost cutting effectiveness, business transformation…. Turnaround is an agent skill from agentii-ai/agentii-investment-intelligence.
How do I install Turnaround in Claude Code?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill turnaround -a claude-code`. Or copy the skill folder (plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround in agentii-ai/agentii-investment-intelligence) into .claude/skills/turnaround in your project. Claude Code loads it when a task matches its description.
How do I install Turnaround in Codex?
Run `npx skills add agentii-ai/agentii-investment-intelligence --skill turnaround -a codex`. Or copy the skill folder (plugins/agent-plugins/agentii-equity-agent/skills/agentii/turnaround in agentii-ai/agentii-investment-intelligence) into .agents/skills/turnaround in your project. Codex loads it when a task matches its description.
Can I use Turnaround 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 turnaround -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/turnaround, .gemini/skills/turnaround, .github/skills/turnaround and .opencode/skills/turnaround in your project.
What does Turnaround need to run?
SKILL.md names no scripts, command-line tools or credentials: Turnaround is instructions for the agent only.
Does Turnaround access the network?
SKILL.md names 1 domain. In commands or code: agentii.ai; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
Is Turnaround 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 Turnaround use?
Turnaround 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 Turnaround use?
About 2k tokens (SKILL.md is roughly 7.9k 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 4k tokens, read only when the agent opens those files.
What are the alternatives to Turnaround?
Skills that share tags, products or a category with Turnaround: Threat Detection (alirezarezvani/claude-skills, 28k stars), Detecting Arp Poisoning In Network Traffic (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Detecting Container Runtime Threats With Falco (mukul975/Anthropic-Cybersecurity-Skills, 34k stars) and It Operations (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Turnaround?
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.