Agent skill

Ln 71 Operations Investigator

by levnikolaevich in levnikolaevich/claude-code-skills

Diagnoses incidents from operational evidence and proposes recovery; does not change live systems.

MITAuto-check passed

Install Ln 71 Operations Investigator

skills CLI
$ npx skills add levnikolaevich/claude-code-skills --skill ln-71-operations-investigator -a claude-code

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

GitHub CLI
$ gh skill install levnikolaevich/claude-code-skills ln-71-operations-investigator --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/levnikolaevich/claude-code-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/operations-suite/skills/ln-71-operations-investigator .claude/skills/ln-71-operations-investigator && 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
ln-71-operations-investigator
GitHub stars
574
Token cost
~1.8k tokens
SKILL.md length
910 words
Files
1
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

Diagnoses incidents from operational evidence and proposes recovery; does not change live systems.

  • Works in 4 steps: Establish the Incident → Collect and Correlate Evidence → Test Explanations and Recovery Options → …
  • SKILL.md covers Tool Routing, Domain Rules, Checklist and Verdict, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ln 71 Operations Investigator is an agent skill from levnikolaevich/claude-code-skills. Diagnoses incidents from operational evidence and proposes recovery; does not change live systems.

Its SKILL.md is about 1.8k 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: Help your AI agent finish the job: solve the right problem, keep changes focused, and show what was verified. For Claude Code and Codex. The licence is MIT.

Example prompts

  • “Use the ln-71-operations-investigator skill to diagnose incidents from operational evidence and proposes recovery; does not change live systems”
  • “/ln-71-operations-investigator”

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Establish the Incident
  2. Collect and Correlate Evidence
  3. Test Explanations and Recovery Options
  4. Report Operational Findings

What it can do on your machine

Read from SKILL.md and the folder at commit 0ce8796. 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

    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

Ln 71 Operations Investigator loads about 1.8k tokens when it runs. Until then it costs about 32 tokens; SKILL.md has 910 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~32
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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 levnikolaevich/claude-code-skills at commit 0ce8796, republished under its MIT licence (© levnikolaevich). 910 words, ~1,848 tokens.

Download SKILL.mdSave it as .claude/skills/ln-71-operations-investigator/SKILL.md (or your agent's skills folder).
name
ln-71-operations-investigator
description
Diagnoses incidents from operational evidence and proposes recovery; does not change live systems.

Operations Investigator

Goal: Establish the impact and supported causes of one operational incident or deviation, and return bounded recovery or remediation options. Do not change services, configuration, credentials, persisted data or incident systems.

Execution contract: The checklist defines completion. Track each item internally as PENDING, PROVEN with evidence, CLEARED with evidence its condition is absent, or UNPROVEN with a gap; reading, delegation, tool failure, a zero exit status, or a self-reported success is not proof; only the observed outcome is. Reconcile after each section. Before returning, resolve all PENDING, count only PROVEN and CLEARED, and apply verdict and approval rules to every gap. Preserve intent, scope, and existing authorization. Continue authorized work; ask only for consequential unresolved choices or required external approval. When no one can answer during the run, state the exact question and apply the skill's verdict for the remaining gap instead of waiting or guessing. Scale depth to material risk without skipping checks. Preserve dependency and safety order; otherwise choose an appropriate verification method. Accept equivalent user or repository evidence; no other skill, named artifact, or complete lifecycle is required. Preserve source requirement and decision IDs. Bind reused evidence to relevant source versions, dirty changes, configuration, and environment; invalidate only affected claims. On continuation, reconcile task, authorization, current state, and unresolved evidence. For long work, return a compact continuation record or update an already authorized artifact; read-only skills do not persist it. Distinguish artifact readiness, verified behavior, and external-action authority. Prepare authorized work before required approval. If blocked by an instruction, cite its exact source and unresolved boundary; do not invent approval gates from caution.

Tool Routing

NeedPreferred capabilityFallback
Incident boundaryUser report, service ownership and operational objectivesExplicit bounded assumptions and missing evidence
Operational evidenceAuthorized read-only metrics, logs, traces and deployment/change historySanitized exports with timestamps and provenance
Hypothesis checksExisting telemetry queries and safe offline reproductionStatic causal trace; no production probes or load without authority

Domain Rules

  • Separate symptoms, contributing conditions, supported cause and unresolved hypotheses. Correlation with a deployment is not causal proof.
  • Bound telemetry queries by incident window and scope; redact sensitive values and avoid unbounded queries or costly live experiments.
  • Urgency does not authorize recovery mutations. Describe immediate safe options separately from root-cause remediation and prevention.

Checklist

1. Establish the Incident
  • Resolve affected service, environment, users, symptoms, time window, timezone, severity evidence and investigation authority.
  • Identify baseline service objectives, normal behavior, ownership and current incident/recovery status.
  • Record evidence availability, retention, sampling and clock uncertainty before interpreting absence of events.
  • Identify already attempted mitigations and source/deployment/configuration changes within the causal window.
2. Collect and Correlate Evidence
  • Build a timeline from observed events with source identities and timestamps; distinguish event time from ingestion time.
  • Measure impact on requests, users, data correctness and dependencies where evidence permits; do not fabricate denominators.
  • Trace the failure across entrypoints, dependencies, state and resource boundaries using correlated evidence.
  • Inspect material errors, saturation, latency, retries, timeouts and configuration changes without assuming one universal failure pattern.
  • Preserve conflicting and missing signals, including sampling or missing instrumentation that can change the conclusion.
Show full SKILL.md (396 more words)Show less
3. Test Explanations and Recovery Options
  • Rank plausible causal explanations and identify an observation that could refute each material candidate.
  • Use safe existing evidence or authorized offline reproduction to distinguish alternatives; do not execute live fixes.
  • Identify immediate containment and recovery options with prerequisites, expected effect, risk and verification signals.
  • Separate reversible mitigations from irreversible data or infrastructure actions and flag missing authority explicitly.
  • Define the smallest owning remediation and prevention scope supported by the evidence; avoid unrelated hardening.
4. Report Operational Findings
  • State whether the cause is supported, narrowed to hypotheses, or unknown, with evidence strength and residual ambiguity.
  • If recovery evidence exists, verify the observed identity and health window without claiming this investigation performed recovery.
  • Return the incident timeline, bounded action options and next evidence steps without changing external incident records.
  • Name observability gaps that prevented diagnosis and the concrete signal needed to resolve each.

Verdict

  • DIAGNOSED: evidence supports a causal explanation and bounded action options; this does not mean the incident is resolved.
  • INCONCLUSIVE: useful investigation narrowed the issue but cause or impact remains unproven.
  • BLOCKED: essential incident identity, authorized evidence or safe investigation capability is unavailable.

Self-Check

  • Reconcile before returning. Check item-level evidence, requirement coverage, contradictions, scope, verdict, and applicable cleanup. Correct the report or authorized artifacts. Reuse valid evidence; do not automatically rescan the repository or rerun successful commands. Repeat checks only for relevant changes, failures, or unresolved evidence. Disclose remaining gaps.

Output Contract

Report in the user's language, in this order; label all five fields and state each fact once. Use controlled plain language: one fact per sentence, usually under 20 words, active voice, and one term per concept, with no synonyms for verdicts, IDs, or states. Small results may use one line per field; omit empty tables and do not copy linked artifacts:

  1. Result: The exact skill-specific verdict token first, then the supported outcome.
  2. Scope: Reviewed/changed scope, exclusions, baseline, and material assumptions.
  3. Evidence: Skill-specific fields below; distinguish facts, inferences, and unverified claims. Link artifacts; use tables when useful.
  4. Verification: Checks/results, unavailable evidence, and applicable cleanup/external state.
  5. Completion: Checklist: X/Y complete; Incomplete: None or each UNPROVEN item's reason, outcome impact, and exact next action; residual risks and required decisions.

Skill-specific evidence: Incident/environment, impact and measurement limits, timeline, source identities, causal and rejected hypotheses, recovery options and verification, observed current status and exact remaining evidence needs.

© levnikolaevich, MIT. 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 plugins/operations-suite/skills/ln-71-operations-investigator of levnikolaevich/claude-code-skills.

Open the folder on GitHubat commit 0ce8796

Compare with similar skills

Ln 71 Operations Investigator 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.

Ln 71 Operations Investigator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ln 71 Operations Investigator this skilllevnikolaevich/claude-code-skills574—~1.8kAutomated safety check: PassMIT
Investigating Phishing Email Incidentmukul975/Anthropic-Cybersecurity-Skills34k—~2.8kAutomated safety check: PassApache-2.0
It Operationsdavila7/claude-code-templates33k1 repos~3.7kAutomated safety check: PassMIT
Incident Responsesickn33/agentic-awesome-skills47k1 repos~3.7kAutomated safety check: PassMIT
Incident Investigationfossasia/eventyay-interpretation1.6k—~1.4kAutomated safety check: PassApache-2.0
Investigate IncidentMentra-Community/MentraOS2.4k—~1.1kAutomated safety check: PassApache-2.0

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Questions about Ln 71 Operations Investigator

What does Ln 71 Operations Investigator do?

Diagnoses incidents from operational evidence and proposes recovery; does not change live systems. Ln 71 Operations Investigator is an agent skill from levnikolaevich/claude-code-skills. Diagnoses incidents from operational evidence and proposes recovery; does not change live systems.

How do I install Ln 71 Operations Investigator in Claude Code?

Run `npx skills add levnikolaevich/claude-code-skills --skill ln-71-operations-investigator -a claude-code`. Or copy the skill folder (plugins/operations-suite/skills/ln-71-operations-investigator in levnikolaevich/claude-code-skills) into .claude/skills/ln-71-operations-investigator in your project. Claude Code loads it when a task matches its description.

How do I install Ln 71 Operations Investigator in Codex?

Run `npx skills add levnikolaevich/claude-code-skills --skill ln-71-operations-investigator -a codex`. Or copy the skill folder (plugins/operations-suite/skills/ln-71-operations-investigator in levnikolaevich/claude-code-skills) into .agents/skills/ln-71-operations-investigator in your project. Codex loads it when a task matches its description.

Can I use Ln 71 Operations Investigator 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 levnikolaevich/claude-code-skills --skill ln-71-operations-investigator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ln-71-operations-investigator, .gemini/skills/ln-71-operations-investigator, .github/skills/ln-71-operations-investigator and .opencode/skills/ln-71-operations-investigator in your project.

What does Ln 71 Operations Investigator need to run?

SKILL.md names no scripts, command-line tools or credentials: Ln 71 Operations Investigator is instructions for the agent only.

Does Ln 71 Operations Investigator 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 Ln 71 Operations Investigator 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 Ln 71 Operations Investigator use?

Ln 71 Operations Investigator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ln 71 Operations Investigator use?

About 1.8k tokens (SKILL.md is roughly 7.4k 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 Ln 71 Operations Investigator?

Skills that share tags, products or a category with Ln 71 Operations Investigator: Investigating Phishing Email Incident (mukul975/Anthropic-Cybersecurity-Skills, 34k stars), It Operations (davila7/claude-code-templates, 33k stars), Incident Response (sickn33/agentic-awesome-skills, 47k stars) and Incident Investigation (fossasia/eventyay-interpretation, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ln 71 Operations Investigator?

levnikolaevich (a GitHub user) maintains it in levnikolaevich/claude-code-skills, which has 574 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on October 5, 2026.

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