Agent skill

Dos Analysis

A skill your agent uses when the user asks about density of states (DOS), projected DOS (PDOS), d-band center, spin-resolved DOS, or electronic structure analysis from completed DFT calculations.

AGPL-3.0Auto-check passed

Install Dos Analysis

skills CLI

$ npx skills add Hello-QM/catgo-LRG --skill dos-analysis -a claude-code

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

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG dos-analysis --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/Hello-QM/catgo-LRG.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/dos-analysis .claude/skills/dos-analysis && 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 "dos-analysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/dos-analysis into .claude/skills/dos-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dos-analysis", 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/Hello-QM/catgo-LRG/tree/main/.claude/skills/dos-analysis

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 Hello-QM/catgo-LRG --skill dos-analysis -a codex

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

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG dos-analysis --agent codex

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

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/dos-analysis .agents/skills/dos-analysis && 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 "dos-analysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/dos-analysis into .agents/skills/dos-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dos-analysis", 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 Hello-QM/catgo-LRG --skill dos-analysis -a cursor

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

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG dos-analysis --agent cursor

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

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/dos-analysis .cursor/skills/dos-analysis && 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 "dos-analysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/dos-analysis into .cursor/skills/dos-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dos-analysis", 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/Hello-QM/catgo-LRG.git --path .claude/skills/dos-analysis

--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 Hello-QM/catgo-LRG --skill dos-analysis -a gemini-cli

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

GitHub CLI

$ gh skill install Hello-QM/catgo-LRG dos-analysis --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/Hello-QM/catgo-LRG.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/dos-analysis .gemini/skills/dos-analysis && 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 "dos-analysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/dos-analysis into .gemini/skills/dos-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dos-analysis", 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 Hello-QM/catgo-LRG dos-analysis

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 Hello-QM/catgo-LRG --skill dos-analysis -a github-copilot

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

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/dos-analysis .github/skills/dos-analysis && 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 "dos-analysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/dos-analysis into .github/skills/dos-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dos-analysis", 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 Hello-QM/catgo-LRG --skill dos-analysis -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 Hello-QM/catgo-LRG dos-analysis --agent opencode

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

Manual copy

$ git clone --depth 1 https://github.com/Hello-QM/catgo-LRG.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/dos-analysis .opencode/skills/dos-analysis && 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 "dos-analysis" agent skill from https://github.com/Hello-QM/catgo-LRG/tree/main/.claude/skills/dos-analysis into .opencode/skills/dos-analysis/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dos-analysis", 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: dos-analysis
GitHub stars: 205
Token cost: ~1.4k tokens
SKILL.md length: 400 words
Files: 1
Skills in repo: 75
Repo updated: Sep 22, 2026
First seen: Oct 7, 2026
Licence: AGPL-3.0

At a glance

A skill your agent uses when the user asks about density of states (DOS), projected DOS (PDOS), d-band center, spin-resolved DOS, or electronic structure analysis from completed DFT calculations.

Works in 6 steps: Never use ISMEAR=1 (Methfessel-Paxton)… → NEDOS=301 (VASP default) gives very… → LORBIT=11 is required for PDOS. Without… → …
The user asks about density of states (DOS)
SKILL.md covers Overview, MCP Tool: catgo_analyze, Workflow for DOS Analysis and Python API, plus 4 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Dos Analysis is an agent skill from Hello-QM/catgo-LRG. Use when the user asks about density of states (DOS), projected DOS (PDOS), d-band center, spin-resolved DOS, or electronic structure analysis from completed DFT calculations.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AI-driven workbench for computational materials science — interactive 3D structure viewer, natural-language CatBot assistant, visual DAG workflow engine, HPC job submission… The licence is AGPL-3.0.

When your agent uses it

The user asks about density of states (DOS)
Projected DOS (PDOS)
Spin-resolved DOS
Electronic structure analysis from completed DFT calculations

Example prompts

“/dos-analysis”

Requirements

Python 3

Workflow steps

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

Never use ISMEAR=1 (Methfessel-Paxton) for DOS -- it produces negative
NEDOS=301 (VASP default) gives very coarse DOS. Use at least 2001-3001.
LORBIT=11 is required for PDOS. Without it, only total DOS is available.
Always do DOS as a separate single_point after geo_opt. The DOS from
For d-band center, select only surface layer atoms. Including bulk atoms
Band gap from DOS can be noisy -- compare with the band structure if

What it can do on your machine

Read from SKILL.md and the folder at commit fd6291b. 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 (its code samples are json and python).
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

Dos Analysis loads about 1.4k tokens when it runs. Until then it costs about 47 tokens; SKILL.md has 400 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: ~1.4k

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 Hello-QM/catgo-LRG at commit fd6291b, republished under its AGPL-3.0 licence (© Hello-QM). 400 words, ~1,427 tokens.

Download SKILL.mdSave it as .claude/skills/dos-analysis/SKILL.md (or your agent's skills folder).

name: dos-analysis
description: Use when the user asks about density of states (DOS), projected DOS (PDOS), d-band center, spin-resolved DOS, or electronic structure analysis from completed DFT calculations.

DOS and Electronic Structure Analysis

Overview

Density of states (DOS) analysis extracts electronic structure information from completed DFT calculations. Key quantities:

Total DOS: overall electronic structure, band gap identification
PDOS: orbital-resolved contributions from specific atoms
d-band center: catalytic activity descriptor (higher = stronger binding)
Spin-resolved DOS: magnetic ordering, spin polarization

MCP Tool: catgo_analyze

Total DOS

json

{"tool": "catgo_analyze", "arguments": {
  "action": "dos",
  "workflow_id": "wf_abc",
  "task_id": "task_sp",
  "dos_type": "total"
}}

Projected DOS (PDOS)

json

{"tool": "catgo_analyze", "arguments": {
  "action": "dos",
  "workflow_id": "wf_abc",
  "task_id": "task_sp",
  "dos_type": "projected",
  "atom_indices": [0, 1, 2, 3],
  "orbitals": ["d"]
}}

d-Band Center

json

{"tool": "catgo_analyze", "arguments": {
  "action": "dos",
  "workflow_id": "wf_abc",
  "task_id": "task_sp",
  "dos_type": "dband",
  "atom_indices": [0, 1, 2, 3]
}}

Returns:

d_band_center: energy relative to Fermi level (eV)
d_band_width: standard deviation of d-band (eV)
d_band_filling: fraction of d-band occupied (0-1)

Workflow for DOS Analysis

DOS requires a completed single_point or geo_opt calculation with appropriate VASP settings.

VASP Settings for DOS

json

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_dos",
  "task_type": "single_point",
  "params": {
    "software": "vasp",
    "ENCUT": 520,
    "ISMEAR": -5,
    "NEDOS": 3001,
    "LORBIT": 11,
    "system_name": "DOS calculation"
  }
}}

Key VASP parameters:

ISMEAR = -5: tetrahedron method with Blochl corrections (accurate DOS)
NEDOS = 3001: number of DOS grid points (default 301 is too coarse)
LORBIT = 11: write projected DOS (DOSCAR with atom/orbital decomposition)

Two-Step Pattern: Relax then DOS

json

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_dos",
  "task_type": "geo_opt",
  "params": {"software": "vasp", "ENCUT": 520, "system_name": "relax"}
}}

json

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_dos",
  "task_type": "single_point",
  "depends_on": "task_relax",
  "params": {
    "software": "vasp", "ENCUT": 520,
    "ISMEAR": -5, "NEDOS": 3001, "LORBIT": 11,
    "system_name": "DOS"
  }
}}

Python API

python

from catgo.workflow import Workflow

wf = Workflow("DOS analysis - Pt(111)")

inp = wf.add_task("structure_input", structure=pt_slab_json)

# Step 1: Geometry optimization
opt = wf.add_task("geo_opt",
    structure=inp.output.structure,
    software="vasp", ENCUT=520)

# Step 2: DOS single-point on relaxed structure
dos_sp = wf.add_task("single_point",
    structure=opt.output.structure,
    software="vasp", ENCUT=520,
    ISMEAR=-5, NEDOS=3001, LORBIT=11)

# Step 3: Post-process DOS
dos = wf.add_task("dos_analysis",
    doscar=dos_sp.output.doscar,
    atom_indices=[0, 1, 2, 3],
    orbitals=["d"],
    compute_dband=True)

wf.submit()

d-Band Center Theory

The d-band model (Hammer-Norskov) relates catalytic activity to the d-band center position relative to the Fermi level:

epsilon_d = integral(E * rho_d(E) dE) / integral(rho_d(E) dE)

Integrated over occupied states (up to Fermi level).

d-band center	Adsorbate binding	Catalytic implication
Higher (closer to E_F)	Stronger	More reactive, may over-bind
Lower (further from E_F)	Weaker	Less reactive, may under-bind

Surface vs Bulk d-Band

Surface atoms have narrower d-bands (fewer neighbors) and higher d-band centers than bulk atoms. Always select surface atom indices for catalysis analysis.

Spin-Resolved DOS

For magnetic systems (Fe, Co, Ni, oxides), enable spin polarization:

json

{"tool": "catgo_workflow_engine", "arguments": {
  "action": "add_task", "workflow_id": "wf_dos",
  "task_type": "single_point",
  "params": {
    "software": "vasp", "ENCUT": 520,
    "ISPIN": 2, "ISMEAR": -5, "NEDOS": 3001, "LORBIT": 11,
    "system_name": "spin-DOS"
  }
}}

Spin-resolved DOS returns separate up/down channels. The magnetic moment per atom equals the integral of (rho_up - rho_down) up to E_F.

Show full SKILL.md (151 more words)Show less

Orbital Channels

Available orbital projections for PDOS:

Channel	Orbitals	Use Case
`"s"`	s	Main group elements
`"p"`	px, py, pz	O, N, C, S
`"d"`	dxy, dyz, dxz, dz2, dx2-y2	Transition metals
`"f"`	7 f-orbitals	Lanthanides, actinides

Specific sub-orbitals: "dz2", "dx2-y2", "dxy", "dxz", "dyz"

Common Pitfalls

Never use ISMEAR=1 (Methfessel-Paxton) for DOS -- it produces negative DOS artifacts. Use ISMEAR=-5 (tetrahedron) for static DOS calculations.
NEDOS=301 (VASP default) gives very coarse DOS. Use at least 2001-3001.
LORBIT=11 is required for PDOS. Without it, only total DOS is available.
Always do DOS as a separate single_point after geo_opt. The DOS from a relaxation run uses the smearing from NSW>0 and is unreliable.
For d-band center, select only surface layer atoms. Including bulk atoms averages out the surface electronic signature.
Band gap from DOS can be noisy -- compare with the band structure if precise gap values are needed.

Files

Just SKILL.md in .claude/skills/dos-analysis of Hello-QM/catgo-LRG.

Open the folder on GitHubat commit fd6291b

Compare with similar skills

Dos Analysis 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.

Dos Analysis compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Dos Analysis this skillHello-QM/catgo-LRG	205	—	~1.4k	Automated safety check: Pass	AGPL-3.0	16 days ago
Project State Governorsickn33/agentic-awesome-skills	47k	1 repos	~4.6k	Automated safety check: Pass	Apache-2.0	yesterday
Find Project Anomaliespenpot/penpot	61k	—	~1.2k	Automated safety check: Pass	MPL-2.0	yesterday
Project Status Artifactanthropics/claude-plugins-official	38k	—	~5.1k	Automated safety check: Pass	Apache-2.0	today
Robius State Managementsickn33/agentic-awesome-skills	47k	2 repos	~3.3k	Automated safety check: Pass	MIT	yesterday
Projects Work Managementsickn33/agentic-awesome-skills	47k	1 repos	~4.1k	Automated safety check: Pass	MIT	yesterday

Similar skills

Project State Governor
sickn33/agentic-awesome-skills
Govern evidence-backed canonical project state across sessions, branches, reviews, and research cycles without inventing product intent.
47k GitHub starsUsed in 1 repo~4.6k tokens
Auto-check passed
Find Project Anomalies
penpot/penpot
Check a GitHub milestone against the Main project board, report the five anomaly types to tmp/<MILESTONE-ANOMALIES.md, and fix missing milestone assignments on request.
61k GitHub stars~1.2k tokensUpdated yesterday
Product & Project ManagementAuto-check passed
Project Status Artifact
anthropics/claude-plugins-official
Official
Builds and publishes a tabbed status page for a project with several workstreams, kept current by refreshing the same private page.
38k GitHub stars~5.1k tokensUpdated today
Product & Project ManagementAuto-check passed
Robius State Management
sickn33/agentic-awesome-skills
CRITICAL: Use for Robius state management patterns. An agent skill from sickn33/agentic-awesome-skills.
47k GitHub starsUsed in 2 repos~3.3k tokens
Frontend & DesignAuto-check passed
Projects Work Management
sickn33/agentic-awesome-skills
Project register: owner, team, priority, progress percentage, milestones, deliverables and budget against actual cost.
47k GitHub starsUsed in 1 repo~4.1k tokens
Product & Project ManagementAuto-check passed
Project Manager
RightNow-AI/openfang
Project management expert for Agile, estimation, risk management, and stakeholder communication
18k GitHub stars~960 tokensUpdated 3 mo ago
Product & Project ManagementAuto-check passed

Questions about Dos Analysis

What does Dos Analysis do?

A skill your agent uses when the user asks about density of states (DOS), projected DOS (PDOS), d-band center, spin-resolved DOS, or electronic structure analysis from completed DFT calculations. Dos Analysis is an agent skill from Hello-QM/catgo-LRG. Use when the user asks about density of states (DOS), projected DOS (PDOS), d-band center, spin-resolved DOS, or electronic structure analysis from completed DFT calculations.

When should I use Dos Analysis?

Dos Analysis fits situations like: the user asks about density of states (DOS); projected DOS (PDOS); spin-resolved DOS; electronic structure analysis from completed DFT calculations.

How do I install Dos Analysis in Claude Code?

Run `npx skills add Hello-QM/catgo-LRG --skill dos-analysis -a claude-code`. Or copy the skill folder (.claude/skills/dos-analysis in Hello-QM/catgo-LRG) into .claude/skills/dos-analysis in your project. Claude Code loads it when a task matches its description.

How do I install Dos Analysis in Codex?

Run `npx skills add Hello-QM/catgo-LRG --skill dos-analysis -a codex`. Or copy the skill folder (.claude/skills/dos-analysis in Hello-QM/catgo-LRG) into .agents/skills/dos-analysis in your project. Codex loads it when a task matches its description.

Can I use Dos Analysis 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 Hello-QM/catgo-LRG --skill dos-analysis -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dos-analysis, .gemini/skills/dos-analysis, .github/skills/dos-analysis and .opencode/skills/dos-analysis in your project.

What does Dos Analysis need to run?

SKILL.md names no scripts, command-line tools or credentials: Dos Analysis is instructions for the agent only. Our summary lists: Python 3.

Does Dos Analysis 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 Dos Analysis 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 Dos Analysis use?

Dos Analysis is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Dos Analysis use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Dos Analysis?

Skills that share tags, products or a category with Dos Analysis: Project State Governor (sickn33/agentic-awesome-skills, 47k stars), Find Project Anomalies (penpot/penpot, 61k stars), Project Status Artifact (anthropics/claude-plugins-official, 38k stars) and Robius State Management (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Dos Analysis?

Hello-QM (a GitHub user) maintains it in Hello-QM/catgo-LRG, which has 205 GitHub stars. The repository holds 75 skills in this directory. The repository was last updated on September 22, 2026.

Source: Hello-QM/catgo-LRG on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Dos Analysis

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

DOS and Electronic Structure Analysis

Overview

MCP Tool: catgo_analyze

Total DOS

Projected DOS (PDOS)

d-Band Center

Workflow for DOS Analysis

VASP Settings for DOS

Two-Step Pattern: Relax then DOS

Python API

d-Band Center Theory

Surface vs Bulk d-Band

Spin-Resolved DOS

Orbital Channels

Common Pitfalls

Files

Compare with similar skills

Similar skills

More from Hello-QM/catgo-LRG

Questions about Dos Analysis