Agent skill

Resolve Investigate

by omnigent-ai in omnigent-ai/omnigent

Verify the reported path, cause, and historical intent before choosing a fix.

Apache-2.0Auto-check passed

Install Resolve Investigate

skills CLI
$ npx skills add omnigent-ai/omnigent --skill resolve-investigate -a claude-code

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

GitHub CLI
$ gh skill install omnigent-ai/omnigent resolve-investigate --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/omnigent-ai/omnigent.git skills-src && mkdir -p .claude/skills && cp -r skills-src/dev/resolve-agent/skills/resolve-investigate .claude/skills/resolve-investigate && 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
resolve-investigate
GitHub stars
11k
Token cost
~1.2k tokens
SKILL.md length
637 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
Apache-2.0

At a glance

Verify the reported path, cause, and historical intent before choosing a fix.

  • Works in 4 steps: Reconstruct the report. Read the report… → Distinguish symptom from cause. Trace… → Find the design intent. Read nearby… → …
  • Calls git

What it does

Resolve Investigate is an agent skill from omnigent-ai/omnigent. Verify the reported path, cause, and historical intent before choosing a fix.

Its SKILL.md is about 1.2k 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: Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies… The licence is Apache-2.0.

Example prompts

  • “/resolve-investigate”

Workflow steps

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

  1. Reconstruct the report. Read the report and relevant discussion, including
  2. Distinguish symptom from cause. Trace the actual path from trigger to
  3. Find the design intent. Read nearby tests and documentation, targeted
  4. Choose and explain. Preserve intended behavior when correcting the

What it can do on your machine

Read from SKILL.md and the folder at commit c6a81cd. 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:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Resolve Investigate loads about 1.2k tokens when it runs. Until then it costs about 24 tokens; SKILL.md has 637 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~24
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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 omnigent-ai/omnigent at commit c6a81cd, republished under its Apache-2.0 licence (© omnigent-ai). 637 words, ~1,177 tokens.

Download SKILL.mdSave it as .claude/skills/resolve-investigate/SKILL.md (or your agent's skills folder).
name
resolve-investigate
description
Verify the reported path, cause, and historical intent before choosing a fix.

Establish the cause and intended behavior

Use this in every mode before choosing assertions or changing code. Keep the investigation proportional to the reported problem; reuse evidence that still matches the checkout. Record concise findings in the existing root_cause, fix_summary, and test_audit fields, not a separate report.

  1. Reconstruct the report. Read the report and relevant discussion, including linked evidence. Separate reported facts, observations, and hypotheses. Pin the entry point, build, harness, authentication mode/profile, configuration, and starting state. Mark unknowns; do not silently swap an OAuth user login for a service principal or PAT because they produce similar errors.
  2. Distinguish symptom from cause. Trace the actual path from trigger to failure. Treat the reporter's diagnosis, Repro leads, and proposed fixes as hypotheses. Check the strongest competing explanation suggested by code, logs, or history with an observation or focused test that distinguishes it. Explain why the selected cause accounts for the reported configuration and symptom. If no credible alternative emerges, say so briefly; do not invent one or implement a plausible generic fix without evidence. Exercise the reported configuration through the implementation being diagnosed. Controlled external services, clocks, and credentials are useful substitutes; replacing the suspected component with canned results assumes the cause instead of testing it. For example, a fake token factory proves how its caller handles those tokens, not how the configured credential provider behaves. Record which parts actually ran and which were substituted. A fail-before/pass-after test of that substitute does not confirm the incident.
  3. Find the design intent. Read nearby tests and documentation, targeted git log -S/git blame, and relevant commit/PR discussion. Cite the source and revision; distinguish documented rationale from inference and note unavailable history. A fallback, fail-open path, default, or restriction may be deliberate. Do not reverse it just to satisfy a repro assertion. Check whether later decisions supersede the original rationale.
  4. Choose and explain. Preserve intended behavior when correcting the defect. For a necessary policy change, explain the old behavior, the proposed behavior, affected users/configurations, alternatives, and supporting evidence. Existing tests are evidence of intent, not unquestionable policy. Repair unsupported repro expectations with the original evidence preserved; label tests of a proposed policy as such, not proof the old policy was a bug.
Show full SKILL.md (266 more words)Show less

PR review is the human decision boundary

Continue with the best-supported proposal within the authorized task. Ambiguous design intent alone is not needs_more_info and does not require an interactive question. Implement and validate the proposal; state assumptions and unresolved tradeoffs in the PR and fix_summary so a maintainer can decide on concrete work.

If a material choice remains unresolved, use partially_fixed and list that choice in remaining_work; do not claim fixed or approve the PR. In direct author mode, open a draft with --draft and follow resolve-publish's draft exception. For an existing PR, leave the supported recommendation on that PR, continue independent work, and respect branch ownership and trusted human reviews; do not create a replacement just to resolve a policy disagreement. For workflow-owned publication, prepare the proposal body and incomplete handoff under the supplied publisher contract; never bypass it or invent a draft flag. For skip_push, leave the proposal in the local commit and handoff.

Apply the same distinction to an unverified cause. If a proposed fix is supported only by a substitute configuration or canned failure, describe it as a hypothesis, use partially_fixed, and name the missing discriminator in remaining_work. When a reliable reproduction cannot be established, use the existing needs_more_info outcome. Passing tests that assume the cause do not justify fixed.

Concrete blockers still apply: missing required inputs or credentials, unsafe evidence, an unrecoverable verification environment, conflicting authoritative requests, or work outside authorization. Name the blocker and complete independent authorized work. Never weaken security controls, guess missing facts, silently expand scope, or claim an unrun check passed to get a proposal through review.

© omnigent-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

Just SKILL.md in dev/resolve-agent/skills/resolve-investigate of omnigent-ai/omnigent.

Open the folder on GitHubat commit c6a81cd

Compare with similar skills

Resolve Investigate 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.

Resolve Investigate compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Resolve Investigate this skillomnigent-ai/omnigent11k—~1.2kAutomated safety check: PassApache-2.0
Root Cause Investigationgarrytan/gstack136k—~12kAutomated safety check: NotesMIT
Reportmicrosoft/data-formulator18k—~1.5kAutomated safety check: PassMIT
Reportalirezarezvani/claude-skills28k1 repos~727Automated safety check: PassMIT
Root Cause Debugginggarrytan/gstack136k—~1.4kAutomated safety check: PassMIT
Investigate CIClickHouse/ClickHouse50k—~11kAutomated safety check: NotesApache-2.0

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Questions about Resolve Investigate

What does Resolve Investigate do?

Verify the reported path, cause, and historical intent before choosing a fix. Resolve Investigate is an agent skill from omnigent-ai/omnigent. Verify the reported path, cause, and historical intent before choosing a fix.

How do I install Resolve Investigate in Claude Code?

Run `npx skills add omnigent-ai/omnigent --skill resolve-investigate -a claude-code`. Or copy the skill folder (dev/resolve-agent/skills/resolve-investigate in omnigent-ai/omnigent) into .claude/skills/resolve-investigate in your project. Claude Code loads it when a task matches its description.

How do I install Resolve Investigate in Codex?

Run `npx skills add omnigent-ai/omnigent --skill resolve-investigate -a codex`. Or copy the skill folder (dev/resolve-agent/skills/resolve-investigate in omnigent-ai/omnigent) into .agents/skills/resolve-investigate in your project. Codex loads it when a task matches its description.

Can I use Resolve Investigate 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 omnigent-ai/omnigent --skill resolve-investigate -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/resolve-investigate, .gemini/skills/resolve-investigate, .github/skills/resolve-investigate and .opencode/skills/resolve-investigate in your project.

What does Resolve Investigate need to run?

Going by SKILL.md and its folder, Resolve Investigate needs the command-line tools its instructions call (git).

Does Resolve Investigate access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Resolve Investigate 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 Resolve Investigate use?

Resolve Investigate 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 Resolve Investigate use?

About 1.2k tokens (SKILL.md is roughly 4.7k 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 Resolve Investigate?

Skills that share tags, products or a category with Resolve Investigate: Root Cause Investigation (garrytan/gstack, 136k stars), Report (microsoft/data-formulator, 18k stars), Report (alirezarezvani/claude-skills, 28k stars) and Root Cause Debugging (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Resolve Investigate?

omnigent-ai (a GitHub organization) maintains it in omnigent-ai/omnigent, which has 10,711 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 10, 2026.

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