Analyze Logs
activepieces/activepieces
Analyze application logs from the .evlog/logs/ directory. An agent skill from activepieces/activepieces.
Run a bounded 1C performance profiling experiment through EDT-MCP and collect attributable evidence without leaving profiling active.
$ npx skills add DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install DitriXNew/EDT-MCP edt-mcp-project-profiling --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/DitriXNew/EDT-MCP.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/skills/edt-mcp-project-profiling .claude/skills/edt-mcp-project-profiling && 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 "edt-mcp-project-profiling" agent skill from https://github.com/DitriXNew/EDT-MCP/tree/master/agent/skills/edt-mcp-project-profiling into .claude/skills/edt-mcp-project-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edt-mcp-project-profiling", 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/DitriXNew/EDT-MCP/tree/master/agent/skills/edt-mcp-project-profilingType 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 DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install DitriXNew/EDT-MCP edt-mcp-project-profiling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DitriXNew/EDT-MCP.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/skills/edt-mcp-project-profiling .agents/skills/edt-mcp-project-profiling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "edt-mcp-project-profiling" agent skill from https://github.com/DitriXNew/EDT-MCP/tree/master/agent/skills/edt-mcp-project-profiling into .agents/skills/edt-mcp-project-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edt-mcp-project-profiling", 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 DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install DitriXNew/EDT-MCP edt-mcp-project-profiling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DitriXNew/EDT-MCP.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/skills/edt-mcp-project-profiling .cursor/skills/edt-mcp-project-profiling && 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 "edt-mcp-project-profiling" agent skill from https://github.com/DitriXNew/EDT-MCP/tree/master/agent/skills/edt-mcp-project-profiling into .cursor/skills/edt-mcp-project-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edt-mcp-project-profiling", 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/DitriXNew/EDT-MCP.git --path agent/skills/edt-mcp-project-profiling--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 DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install DitriXNew/EDT-MCP edt-mcp-project-profiling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DitriXNew/EDT-MCP.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/skills/edt-mcp-project-profiling .gemini/skills/edt-mcp-project-profiling && 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 "edt-mcp-project-profiling" agent skill from https://github.com/DitriXNew/EDT-MCP/tree/master/agent/skills/edt-mcp-project-profiling into .gemini/skills/edt-mcp-project-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edt-mcp-project-profiling", 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 DitriXNew/EDT-MCP edt-mcp-project-profilingInstalls 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 DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/DitriXNew/EDT-MCP.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/skills/edt-mcp-project-profiling .github/skills/edt-mcp-project-profiling && 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 "edt-mcp-project-profiling" agent skill from https://github.com/DitriXNew/EDT-MCP/tree/master/agent/skills/edt-mcp-project-profiling into .github/skills/edt-mcp-project-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edt-mcp-project-profiling", 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 DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install DitriXNew/EDT-MCP edt-mcp-project-profiling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/DitriXNew/EDT-MCP.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/skills/edt-mcp-project-profiling .opencode/skills/edt-mcp-project-profiling && 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 "edt-mcp-project-profiling" agent skill from https://github.com/DitriXNew/EDT-MCP/tree/master/agent/skills/edt-mcp-project-profiling into .opencode/skills/edt-mcp-project-profiling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edt-mcp-project-profiling", 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.
edt-mcp-project-profilingRun a bounded 1C performance profiling experiment through EDT-MCP and collect attributable evidence without leaving profiling active.
Edt MCP Project Profiling is an agent skill from DitriXNew/EDT-MCP. Run a bounded 1C performance profiling experiment through EDT-MCP and collect attributable evidence without leaving profiling active.
Its SKILL.md is about 620 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 Development, covering MCP servers. It works with Model Context Protocol. The licence is AGPL-3.0.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 6d18531. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Edt MCP Project Profiling loads about 616 tokens when it runs. Until then it costs about 40 tokens; SKILL.md has 303 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.
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.
The full file from DitriXNew/EDT-MCP at commit 6d18531, republished under its AGPL-3.0 licence (© DitriXNew). 303 words, ~616 tokens.
.claude/skills/edt-mcp-project-profiling/SKILL.md (or your agent's skills folder).Use this skill when one reproducible performance question requires runtime measurement against an exact 1C application.
Read and apply the common operating rules before this workflow.
Measure one authorized scenario and data volume. Do not mix the measurement with refactoring, broad load generation, or unrelated runtime activity.
debug_status; route launch or Attach preparation to
edt-mcp-project-runtime-debug when needed.get_profiling_results state. Keep the global profiling surface quiescent
through the final result read; if result identity cannot be matched
independently, treat the global result as unattributed.start_profiling and claim ownership only when its result confirms
this task started the profiling window. If profiling was already active, do
not stop or replace it; stop and report that an attributable window could
not be established without disrupting another owner. Otherwise execute only
the bounded scenario and call stop_profiling for that task-owned window on
success, failure, timeout, or interruption.get_profiling_results in that protected window, correlate candidate
methods/lines with exact source, and repeat only for a controlled comparison.The target application, scenario, data effects, launch/Attach work, and any repeat measurement must be authorized. Profiling does not authorize a code fix.
Stop and clean up when the target changes, another session prevents reliable attribution, the scenario would mutate prohibited data, or results cannot be linked to the intended run.
Report the exact target and scenario, conditions, observed duration and candidate hotspots, partial-result and attribution limits, cleanup status, and the next validation experiment for any proposed optimization.
© DitriXNew, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in agent/skills/edt-mcp-project-profiling of DitriXNew/EDT-MCP.
Open the folder on GitHubat commit 6d18531
Edt MCP Project Profiling 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 |
|---|---|---|---|---|---|---|
| Edt MCP Project Profiling this skillDitriXNew/EDT-MCP | 295 | — | ~616 | Automated safety check: Pass | AGPL-3.0 | |
| Analyze Logsactivepieces/activepieces | 25k | 1 repos | ~1.6k | Automated safety check: Pass | MIT | |
| ReleasePrefectHQ/fastmcp | 28k | — | ~2.9k | Automated safety check: Pass | Apache-2.0 | |
| Review PRPrefectHQ/fastmcp | 28k | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | |
| ObservalObserval/Observal | 4.2k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| Ue Code AuthoringJasonMa0012/MooaToon | 749 | — | ~1.9k | Automated safety check: Notes | Custom licence |
activepieces/activepieces
Analyze application logs from the .evlog/logs/ directory. An agent skill from activepieces/activepieces.
PrefectHQ/fastmcp
Cut a FastMCP release end to end. An agent skill from PrefectHQ/fastmcp.
PrefectHQ/fastmcp
Assess a FastMCP pull request for justified behavior, compatibility, and correctness, then follow CI and review feedback to a revision-specific verdict.
Observal/Observal
A skill your agent uses when starting any task the organization may already have an approved skill, prompt, MCP server, or Agent for: reviewing code, a commit, a diff, or a pull request; writing…
JasonMa0012/MooaToon
A skill your agent uses when writing or modifying UE C++ (classes, actors, components, subsystems, interfaces, function libraries) with Rider MCP available.
Ikalus1988/MisakaNet
Search and record failure-recovery lessons from real engineering sessions; submit and verify debugging lessons across the MisakaNet network.
DitriXNew/EDT-MCP
Autonomous, spec-driven, multi-agent pipeline that takes an EDT-MCP task or issue end-to-end — research → critics → architect → parallel development → review loop → tests → live-stand check →…
DitriXNew/EDT-MCP
How to build the EDT-MCP Eclipse plugin (Tycho/Maven) and run its unit and e2e tests, plus the test conventions for this repo.
DitriXNew/EDT-MCP
How to write/run the AUTOMATED black-box e2e suite (tests/e2e/) that covers every EDT-MCP tool (62 today) against a live server with git-fixture isolation, happy + negative + error-quality coverage…
DitriXNew/EDT-MCP
How to size, write and A/B-test the text of a tool — its description and its inputSchema parameter prose — so that cutting it does not cost call quality, and so that a tool that IS getting called…
DitriXNew/EDT-MCP
How to write and run YAXUnit unit tests for a 1C configuration through 1C:EDT + the EDT-MCP runyaxunittests / debugyaxunittests tools.
DitriXNew/EDT-MCP
How to manually e2e-test each EDT-MCP server tool against a live EDT workbench + TestConfiguration.
Works with
Categories
Run a bounded 1C performance profiling experiment through EDT-MCP and collect attributable evidence without leaving profiling active. Edt MCP Project Profiling is an agent skill from DitriXNew/EDT-MCP. Run a bounded 1C performance profiling experiment through EDT-MCP and collect attributable evidence without leaving profiling active.
Edt MCP Project Profiling fits situations like: tasks that involve MCP servers.
Run `npx skills add DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a claude-code`. Or copy the skill folder (agent/skills/edt-mcp-project-profiling in DitriXNew/EDT-MCP) into .claude/skills/edt-mcp-project-profiling in your project. Claude Code loads it when a task matches its description.
Run `npx skills add DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a codex`. Or copy the skill folder (agent/skills/edt-mcp-project-profiling in DitriXNew/EDT-MCP) into .agents/skills/edt-mcp-project-profiling in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add DitriXNew/EDT-MCP --skill edt-mcp-project-profiling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/edt-mcp-project-profiling, .gemini/skills/edt-mcp-project-profiling, .github/skills/edt-mcp-project-profiling and .opencode/skills/edt-mcp-project-profiling in your project.
SKILL.md names no scripts, command-line tools or credentials: Edt MCP Project Profiling is instructions for the agent only.
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.
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.
Edt MCP Project Profiling 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.
About 616 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Edt MCP Project Profiling: Analyze Logs (activepieces/activepieces, 25k stars), Release (PrefectHQ/fastmcp, 28k stars), Review PR (PrefectHQ/fastmcp, 28k stars) and Observal (Observal/Observal, 4.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
DitriXNew (a GitHub user) maintains it in DitriXNew/EDT-MCP, which has 295 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 7, 2026.
Source: DitriXNew/EDT-MCP on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.