Agent skill

Resolve Impact Assessment

by omnigent-ai in omnigent-ai/omnigent

Check the full candidate diff, affected consumers, focused tests, evidence identities, and verification gaps.

Apache-2.0Auto-check passed

Install Resolve Impact Assessment

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

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

GitHub CLI
$ gh skill install omnigent-ai/omnigent resolve-impact-assessment --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-impact-assessment .claude/skills/resolve-impact-assessment && 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-impact-assessment
GitHub stars
11k
Token cost
~1.5k tokens
SKILL.md length
820 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
Apache-2.0

At a glance

Check the full candidate diff, affected consumers, focused tests, evidence identities, and verification gaps.

  • Works in 5 steps: Inspect the candidate and its consumers.… → Exercise the relevant boundaries. Select… → Record observed results in… → …
  • Calls git

What it does

Resolve Impact Assessment is an agent skill from omnigent-ai/omnigent. Check the full candidate diff, affected consumers, focused tests, evidence identities, and verification gaps.

Its SKILL.md is about 1.5k 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-impact-assessment”

Workflow steps

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

  1. Inspect the candidate and its consumers. Start the assessment while
  2. Exercise the relevant boundaries. Select checks from the actual change
  3. Record observed results in impact_assessment. Each risk names its check,
  4. Refresh before delivery. Re-read the final diff, Git status, and current
  5. Let gaps affect the verdict. fixed requires the original behavior to be

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 Impact Assessment loads about 1.5k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 820 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~1.5k

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). 820 words, ~1,542 tokens.

Download SKILL.mdSave it as .claude/skills/resolve-impact-assessment/SKILL.md (or your agent's skills folder).
name
resolve-impact-assessment
description
Check the full candidate diff, affected consumers, focused tests, evidence identities, and verification gaps.

Shared impact assessment — every resolution path

Before claiming fixed or approving a PR, check what the full final diff could break beyond the reported bug. This applies to author, existing-PR review, ticket-only, and review-remediation modes, including skip_push and workflow-owned publication. Ticket-only and review-remediation still do not require an inherited repro; their publication/branch permissions are unchanged.

  1. Inspect the candidate and its consumers. Start the assessment while investigating, then refresh it after the last edit. Record the target branch's full tip SHA as base_sha and the candidate's full HEAD SHA as head_sha. Inspect git diff <base_sha>...<head_sha> plus staged, unstaged, and untracked source/test changes. Include configuration, dependencies, and workflows; runtime prompts count as behavior changes even when stored in Markdown. In review modes, inspect the whole PR, not only edits made in this run. Follow shared helpers to their callers and existing tests. For each meaningful risk, identify the changed files, affected behavior, consumers, invariant to preserve, and focused check. A passing original repro is not coverage for every consumer.

  2. Exercise the relevant boundaries. Select checks from the actual change:

    Changed behaviorRequired focused coverage when applicable
    Shared startup, configuration, auth, or serializationExisting/default configurations and other affected consumers; exercise configuration creation, transport/decoding, and real process startup together. Correctly constructed objects supplied directly to a unit test do not cover that path.
    SandboxingThe applicable real OS sandbox with its intended gates enabled. A disabled gate or an unsupported/skipped sandbox test leaves that boundary uncovered.
    UI state or interactionThe reported journey and affected adjacent journeys on the candidate build, including relevant selection, persistence, or reconnect behavior.
    Environment-derived defaultsOrdinary configuration and relevant ambient variables populated; apply the hermetic check in 2B.5.
    Performance or timingMeasure the claimed quantity under the relevant workload. Distinguish simulated-clock tests from elapsed-time measurements; functional success alone does not establish latency or throughput.

    Use existing tests where they cover the invariant; add a behavioral regression test only for a meaningful gap. Tests of the bug follow their mode's baseline requirements; review-remediation still skips fail-before proof. Checks protecting previously correct behavior may pass on both base and candidate; do not manufacture a failing baseline for them. Run the focused checks for each affected consumer/boundary, even when they live in a different module. Do not run the full repository suite locally. Do not weaken isolation or change global rollout settings to obtain a passing result.

  3. Record observed results in impact_assessment. Each risk names its check, result (passed, failed, blocked, or not_run), and retained evidence. Reference actual command/output or CI run artifacts; include the tested revision/build, dependency pins, and relevant environment/feature gates. Confirm the test imports and exercises this candidate, not another checkout, installed copy, stale SPA, or older CI runtime. Record worktree_state as clean only when the tested source/tests are clean; otherwise name the uncommitted source/test/support files and their content hashes. Artifact-only dirt can be noted separately. A HEAD SHA alone does not identify dirty code.

    Distinguish component tests, real process/sandbox checks, and live bot checks. An unrun, skipped, xfailed, or setup-failing required check is not a pass: name the missing boundary and reason in uncovered_boundaries. A large green test count or an unrelated green CI job does not fill that gap. Evidence references describe what was retained; never invent an execution record.

  4. Refresh before delivery. Re-read the final diff, Git status, and current base/head before every final handoff or review verdict. For an existing PR, compare with the live GitHub base/head SHAs, not just local refs. If the author moved the head, follow the mode's update/retry procedure without approving from old results. After a retry, new PR head, merge/rebase, CI/Polly fix, or changed code, assertions, dependencies, or relevant environment, rebuild the assessment and rerun affected checks. Reuse a result only when its tested contents and context still match; retain its original identity rather than relabeling old evidence as a new execution. Commit hooks can change tested files too. Keep earlier evidence and the saved checkpoint; never reset work to make the identities match.

  5. Let gaps affect the verdict. fixed requires the original behavior to be proven as its mode requires, all identified regression risks checked, and no uncovered required boundary. A discovered regression must be repaired and checked before fixed or approval. If a fix is only partly verified, preserve the work, use partially_fixed, and name the failing/unrun checks in remaining_work; use needs_more_info when verification cannot establish a resolution. Setup failures are blockers, not proof of a product regression. A missing recording alone still follows the recording rules below.

Show full SKILL.md (65 more words)Show less

Summarize the affected behavior, checks, and gaps in the PR's Test Plan or review body. The assessment is an agent-authored explanation, not an execution recorder or a guarantee of no regressions. Record empty risks only with a concrete not_applicable_reason (for example, no candidate exists yet, or inspection found only documentation that is never loaded at runtime); never use it to excuse an untested behavior change.

© 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-impact-assessment of omnigent-ai/omnigent.

Open the folder on GitHubat commit c6a81cd

Compare with similar skills

Resolve Impact Assessment 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 Impact Assessment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Resolve Impact Assessment this skillomnigent-ai/omnigent11k—~1.5kAutomated safety check: PassApache-2.0
Performing Privacy Impact Assessmentmukul975/Anthropic-Cybersecurity-Skills34k—~2.6kAutomated safety check: PassApache-2.0
Diffsopenclaw/openclaw392k4 repos~461Automated safety check: PassMIT
Accesslint Diffsickn33/agentic-awesome-skills47k1 repos~1.2kAutomated safety check: PassMIT
Daily Focus Boardgithub/awesome-copilot40k—~3kAutomated safety check: PassMIT
Diff Reviewnexu-io/open-design100k—~508Automated safety check: PassApache-2.0

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Questions about Resolve Impact Assessment

What does Resolve Impact Assessment do?

Check the full candidate diff, affected consumers, focused tests, evidence identities, and verification gaps. Resolve Impact Assessment is an agent skill from omnigent-ai/omnigent. Check the full candidate diff, affected consumers, focused tests, evidence identities, and verification gaps.

How do I install Resolve Impact Assessment in Claude Code?

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

How do I install Resolve Impact Assessment in Codex?

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

Can I use Resolve Impact Assessment 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-impact-assessment -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-impact-assessment, .gemini/skills/resolve-impact-assessment, .github/skills/resolve-impact-assessment and .opencode/skills/resolve-impact-assessment in your project.

What does Resolve Impact Assessment need to run?

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

Does Resolve Impact Assessment 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 Impact Assessment 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 Impact Assessment use?

Resolve Impact Assessment 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 Impact Assessment use?

About 1.5k tokens (SKILL.md is roughly 6.2k 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 Impact Assessment?

Skills that share tags, products or a category with Resolve Impact Assessment: Performing Privacy Impact Assessment (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), Diffs (openclaw/openclaw, 392k stars), Accesslint Diff (sickn33/agentic-awesome-skills, 47k stars) and Daily Focus Board (github/awesome-copilot, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Resolve Impact Assessment?

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.