Agent skill

Palantir Observability

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Design Foundry observability using build metrics, execution history, governed logs, audit exports, and monitoring subscriptions.

MITAuto-check passedDevOps & Cloud

Install Palantir Observability

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill palantir-observability -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace palantir-observability --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/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/palantir-observability .claude/skills/palantir-observability && 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
palantir-observability
GitHub stars
2.8k
Token cost
~1.3k tokens
SKILL.md length
568 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Design Foundry observability using build metrics, execution history, governed logs, audit exports, and monitoring subscriptions.

  • Works in 5 steps: Define measurable service and data… → Map each signal to the authoritative… → Create views or exports with minimum… → …
  • Defining dashboards
  • SKILL.md covers Overview, Prerequisites, Current Contract and Instructions, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Palantir Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Design Foundry observability using build metrics, execution history, governed logs, audit exports, and monitoring subscriptions. Use when defining dashboards, alerts, or operational evidence. Trigger with "Foundry observability" or "Palantir monitoring".

Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Requires current Palantir Foundry documentation and approved access for any live resource, permission, data, build, application, or deployment change

It sits in DevOps & Cloud, covering Observability. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Defining dashboards
  • Operational evidence
  • With Foundry observability
  • Palantir monitoring

Example prompts

  • “Foundry observability”
  • “Palantir monitoring”
  • “/palantir-observability”

Requirements

  • Compatibility (from SKILL.md): Requires current Palantir Foundry documentation and approved access for any live resource, permission, data, build, application, or deployment change
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

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

  1. Define measurable service and data objectives, owners, thresholds, and response actions before creating dashboards.
  2. Map each signal to the authoritative Foundry surface and identify its permission, marking, retention, and export requirements.
  3. Create views or exports with minimum fields and protected destinations; avoid logging object values, prompts, or secrets.
  4. Test each alert with a controlled failure and confirm routing, deduplication, acknowledgement, escalation, and recovery.
  5. Review false positives, blind spots, access, retention, and evidence quality after a representative operating window.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • Write
    • Edit

    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.

  • Compatibility

    Requires current Palantir Foundry documentation and approved access for any live resource, permission, data, build, application, or deployment change

    From compatibility in the SKILL.md frontmatter.

Context cost

Palantir Observability loads about 1.3k tokens when it runs, and up to ~1.6k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 568 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~69
When it runs · the whole SKILL.md, loaded when a task matches
~1.3k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.6k

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 jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 568 words, ~1,316 tokens.

Download SKILL.mdSave it as .claude/skills/palantir-observability/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
palantir-observability
description
Design Foundry observability using build metrics, execution history, governed logs, audit exports, and monitoring subscriptions. Use when defining dashboards, alerts, or operational evidence. Trigger with "Foundry observability" or "Palantir monitoring".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Requires current Palantir Foundry documentation and approved access for any live resource, permission, data, build, application, or deployment change
version
2.0.0
argument-hint
[pipeline-action-function-or-module]
model
inherit
effort
high
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, palantir, foundry, observability, monitoring

Palantir Foundry Observability Design

Overview

Use Foundry-native telemetry for Foundry workloads and export only when there is a governed consumer. Distinguish operational metrics, service/trace logs, execution history, monitoring notifications, and audit logs because they have different access and retention semantics.

Prerequisites

  • Identify the resource, owner, service objectives, failure modes, audiences, data classification, and incident process.
  • Inventory available build metrics, resource metrics, execution history, logs, monitoring views, audit exports, and external notification targets.
  • Read references/official-docs.md and confirm current log-access and marking policy.
  • Define the minimum telemetry needed to detect user-visible or data-quality failures.

Current Contract

  • Transform build metrics expose CPU, memory, and job behavior in build reports.
  • Ontology and AIP metrics, execution history, and logs have different permission requirements; logs may require Edit permission, enabled log access, and markings.
  • Organization log exports support Palantir or OpenTelemetry payload formats and must respect source-executor and export-dataset marking requirements.
  • Audit logs record high-level security and administrative activity and require tightly controlled export datasets.

Instructions

  1. Define measurable service and data objectives, owners, thresholds, and response actions before creating dashboards.

  2. Map each signal to the authoritative Foundry surface and identify its permission, marking, retention, and export requirements.

  3. Create views or exports with minimum fields and protected destinations; avoid logging object values, prompts, or secrets.

  4. Test each alert with a controlled failure and confirm routing, deduplication, acknowledgement, escalation, and recovery.

  5. Review false positives, blind spots, access, retention, and evidence quality after a representative operating window.

Tool Discipline

  • Use Glob to locate candidate repositories, manifests, configurations, and evidence without widening scope.
  • Use Grep to find relevant identifiers, declarations, permissions, errors, and stale claims.
  • Use Read to inspect the smallest required files and authoritative evidence.
  • Use Write only for a new approved local draft, test, manifest, or evidence artifact.
  • Use Edit only for a bounded approved change whose rollback is known.
  • Do not use file tools as a substitute for authenticated Foundry operations or owner approval.

Approval Boundaries

Resource owners approve service objectives; security/data owners approve log access, markings, and exports; organization administrators approve audit exports; incident owners approve external routing. Never enable broad logs merely to make dashboards easier.

Show full SKILL.md (212 more words)Show less

Output

An observability matrix with objectives, signals, Foundry sources, queries/views, thresholds, audiences, permissions, markings, retention, notification routes, runbooks, and tested alert receipts.

Error Handling

ConditionResponse
Metrics exist but no action is definedAssign owner, threshold, severity, and runbook before enabling the alert.
Logs reveal protected valuesDisable or restrict access/export, correct markings and logging, and review exposure.
An export omits required source markingsStop the export and align source-executor and destination controls.
Health is green while data is staleAdd freshness, build, transaction, and downstream-consumer signals.

Examples

Example 1

Monitor a transform with build success, freshness, duration, CPU, memory, input/output volume, and data expectations, then test the alert by failing a sandbox build.

Example 2

Govern an action's service logs by enabling log access with markings, limiting viewers, defining retention, and keeping audit logs as a separate security evidence stream.

Validation

  • Every signal maps to a user, data, security, or reliability objective.
  • Controlled tests exercise alert, route, acknowledgement, and recovery.
  • Logs and exports have approved permissions, markings, and retention.
  • Dashboards include freshness and correctness rather than only endpoint availability.
  • Quarterly review has an owner and evidence source.

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/palantir-observability of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Palantir Observability 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.

Palantir Observability compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Palantir Observability this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.3kAutomated safety check: PassMIT
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
Kubeshark KFL2 Filter Referencekubeshark/kubeshark12k—~3.6kAutomated safety check: PassApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Kubernetes Network Root Cause Analysiskubeshark/kubeshark12k—~5.3kAutomated safety check: PassApache-2.0

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Categories

Questions about Palantir Observability

What does Palantir Observability do?

Design Foundry observability using build metrics, execution history, governed logs, audit exports, and monitoring subscriptions. Palantir Observability is an agent skill from jeremylongshore/tons-of-skills-marketplace. Design Foundry observability using build metrics, execution history, governed logs, audit exports, and monitoring subscriptions.

When should I use Palantir Observability?

Palantir Observability fits situations like: defining dashboards; operational evidence; with Foundry observability; palantir monitoring.

How do I install Palantir Observability in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill palantir-observability -a claude-code`. Or copy the skill folder (skills/.curated/palantir-observability in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/palantir-observability in your project. Claude Code loads it when a task matches its description.

How do I install Palantir Observability in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill palantir-observability -a codex`. Or copy the skill folder (skills/.curated/palantir-observability in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/palantir-observability in your project. Codex loads it when a task matches its description.

Can I use Palantir Observability 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 jeremylongshore/tons-of-skills-marketplace --skill palantir-observability -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/palantir-observability, .gemini/skills/palantir-observability, .github/skills/palantir-observability and .opencode/skills/palantir-observability in your project.

What does Palantir Observability need to run?

SKILL.md names no scripts, command-line tools or credentials: Palantir Observability is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Requires current Palantir Foundry documentation and approved access for any live resource, permission, data, build, application, or deployment change.

Does Palantir Observability 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 Palantir Observability 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 Palantir Observability use?

Palantir Observability is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Palantir Observability use?

About 1.3k tokens (SKILL.md is roughly 5.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 247 tokens, read only when the agent opens those files.

What are the alternatives to Palantir Observability?

Skills that share tags, products or a category with Palantir Observability: Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Palantir Observability?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

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