Inference Autopilot
rednote-machine-learning/Inference-autopilot
Analyze, benchmark, diagnose, and optimize large-model inference deployments from hardware inventory, model details, workload traces, and latency or throughput SLOs.
Calculation models and business impact matrices for quantitatively assessing incident impact based on SLA/SLO.
$ npx skills add revfactory/harness-100 --skill sla-impact-calculator -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install revfactory/harness-100 sla-impact-calculator --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/revfactory/harness-100.git skills-src && mkdir -p .claude/skills && cp -r skills-src/en/25-incident-postmortem/.claude/skills/sla-impact-calculator .claude/skills/sla-impact-calculator && 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 "sla-impact-calculator" agent skill from https://github.com/revfactory/harness-100/tree/main/en/25-incident-postmortem/.claude/skills/sla-impact-calculator into .claude/skills/sla-impact-calculator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sla-impact-calculator", 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/revfactory/harness-100/tree/main/en/25-incident-postmortem/.claude/skills/sla-impact-calculatorType 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 revfactory/harness-100 --skill sla-impact-calculator -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install revfactory/harness-100 sla-impact-calculator --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .agents/skills && cp -r skills-src/en/25-incident-postmortem/.claude/skills/sla-impact-calculator .agents/skills/sla-impact-calculator && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sla-impact-calculator" agent skill from https://github.com/revfactory/harness-100/tree/main/en/25-incident-postmortem/.claude/skills/sla-impact-calculator into .agents/skills/sla-impact-calculator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sla-impact-calculator", 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 revfactory/harness-100 --skill sla-impact-calculator -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install revfactory/harness-100 sla-impact-calculator --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/en/25-incident-postmortem/.claude/skills/sla-impact-calculator .cursor/skills/sla-impact-calculator && 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 "sla-impact-calculator" agent skill from https://github.com/revfactory/harness-100/tree/main/en/25-incident-postmortem/.claude/skills/sla-impact-calculator into .cursor/skills/sla-impact-calculator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sla-impact-calculator", 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/revfactory/harness-100.git --path en/25-incident-postmortem/.claude/skills/sla-impact-calculator--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 revfactory/harness-100 --skill sla-impact-calculator -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install revfactory/harness-100 sla-impact-calculator --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/en/25-incident-postmortem/.claude/skills/sla-impact-calculator .gemini/skills/sla-impact-calculator && 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 "sla-impact-calculator" agent skill from https://github.com/revfactory/harness-100/tree/main/en/25-incident-postmortem/.claude/skills/sla-impact-calculator into .gemini/skills/sla-impact-calculator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sla-impact-calculator", 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 revfactory/harness-100 sla-impact-calculatorInstalls 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 revfactory/harness-100 --skill sla-impact-calculator -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .github/skills && cp -r skills-src/en/25-incident-postmortem/.claude/skills/sla-impact-calculator .github/skills/sla-impact-calculator && 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 "sla-impact-calculator" agent skill from https://github.com/revfactory/harness-100/tree/main/en/25-incident-postmortem/.claude/skills/sla-impact-calculator into .github/skills/sla-impact-calculator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sla-impact-calculator", 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 revfactory/harness-100 --skill sla-impact-calculator -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install revfactory/harness-100 sla-impact-calculator --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/revfactory/harness-100.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/en/25-incident-postmortem/.claude/skills/sla-impact-calculator .opencode/skills/sla-impact-calculator && 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 "sla-impact-calculator" agent skill from https://github.com/revfactory/harness-100/tree/main/en/25-incident-postmortem/.claude/skills/sla-impact-calculator into .opencode/skills/sla-impact-calculator/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sla-impact-calculator", 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.
sla-impact-calculatorCalculation models and business impact matrices for quantitatively assessing incident impact based on SLA/SLO.
Sla Impact Calculator is an agent skill from revfactory/harness-100. Calculation models and business impact matrices for quantitatively assessing incident impact based on SLA/SLO. Use this skill for 'SLA impact', 'SLO violation', 'impact assessment', 'revenue loss estimation', 'error budget', 'availability calculation', 'incident cost assessment', and other tasks quantifying the business impact of incidents. Enhances the impact assessment capabilities of impact-assessor. Note: incident cause analysis and remediation planning are outside the scope of this skill.
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.
It sits in DevOps & Cloud, covering Site reliability engineering. The licence is Apache-2.0.
Read from SKILL.md and the folder at commit 8e8d35c. 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 (its code samples are markdown).
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.
Sla Impact Calculator loads about 1.2k tokens when it runs. Until then it costs about 130 tokens; SKILL.md has 161 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 revfactory/harness-100 at commit 8e8d35c, republished under its Apache-2.0 licence (© revfactory). 161 words, ~1,196 tokens.
.claude/skills/sla-impact-calculator/SKILL.md (or your agent's skills folder).A framework for quantitatively measuring and reporting the business impact of incidents.
SLI (Service Level Indicator): Measurement metric
e.g.: Request success rate = Successful requests / Total requests
SLO (Service Level Objective): Internal target
e.g.: Request success rate >= 99.95% (30-day basis)
SLA (Service Level Agreement): External contract
e.g.: Availability < 99.9% -> 10% credit refund on monthly fee| Availability | Annual Downtime | Monthly | Weekly | Daily |
|---|---|---|---|---|
| 99% | 3d 15h | 7h 18m | 1h 41m | 14m 24s |
| 99.5% | 1d 19h | 3h 39m | 50m 24s | 7m 12s |
| 99.9% | 8h 46m | 43m 50s | 10m 5s | 1m 26s |
| 99.95% | 4h 23m | 21m 55s | 5m 2s | 43s |
| 99.99% | 52m 36s | 4m 23s | 1m | 8.6s |
| 99.999% | 5m 16s | 26s | 6s | 0.86s |
Monthly error budget = (1 - SLO) x 30 days x 24 hours x 60 minutes
Example: SLO = 99.95%
Error budget = 0.0005 x 30 x 24 x 60 = 21.6 minutes/month
When a 30-minute incident occurs:
+-- Budget exceeded: 30 min - 21.6 min = 8.4 min over
+-- Consumption rate: 30 / 21.6 = 138.9% (exceeded!)
+-- Remaining budget: -8.4 min (no additional incidents allowed for the rest of the period)Per-minute revenue loss = Daily average revenue / (24 x 60)
Example: Daily average revenue = $100,000
Per-minute revenue loss = 100,000 / 1,440 = $69.44/min
30-minute incident:
+-- Direct loss: $69.44 x 30 = $2,083
+-- Peak hour adjustment: x 2.5 (if during peak hours)
| -> $5,208
+-- Churn estimate (5% of affected customers churn):
| Affected customers x 5% x Customer Lifetime Value (CLV)
+-- Total estimated loss: Direct + Churn + Recovery costs| Level | Criteria | Example | Escalation |
|---|---|---|---|
| SEV-1 (Critical) | Core service complete outage | Payments down, entire site down | Immediate -> C-level |
| SEV-2 (Major) | Core feature partial outage | Specific payment method unavailable | Within 30 min -> VP |
| SEV-3 (Minor) | Non-core feature outage | Recommendation system malfunction | Within 1 hour -> Manager |
| SEV-4 (Low) | User experience degradation | Slow page loading | Next business day |
Estimating affected users:
1. Normal traffic for the incident timeframe: DAU x (incident_hours/24)
2. Based on error logs: Unique users receiving 5xx responses
3. Feature usage rate: DAU percentage for the affected feature
Example:
DAU = 100,000
Incident time = 14:00-14:30 (peak)
Time window ratio = 8% (peak hour adjustment)
Affected users = 100,000 x 0.08 x (30/60) = 4,000SLA penalty calculation:
Basic structure:
+-- Tier 1: Availability < SLA by 0.1%p -> 10% credit on monthly fee
+-- Tier 2: Availability < SLA by 1.0%p -> 25% credit on monthly fee
+-- Tier 3: Availability < SLA by 5.0%p -> 50% credit on monthly fee
Example: Monthly contract $10,000, SLA 99.9%, actual 99.5%
Shortfall: 0.4%p -> Tier 1
Credit: $10,000 x 10% = $1,000Serial system: SLA_total = SLA_A x SLA_B x SLA_C
e.g.: 99.9% x 99.9% x 99.9% = 99.7% (0.3% = 2h 11m/month)
Parallel system: SLA_total = 1 - (1-SLA_A) x (1-SLA_B)
e.g.: 1 - (0.001 x 0.001) = 99.9999%
Real system:
API Gateway(99.99%) -> [App Server(99.95%) || App Server(99.95%)] -> DB(99.99%)
= 99.99% x (1-(0.0005)^2) x 99.99%
= 99.99% x 99.99975% x 99.99%
~ 99.97%# Incident Impact Assessment Report
## Summary
| Item | Value |
|------|-------|
| Incident Time | YYYY-MM-DD HH:MM ~ HH:MM (N min) |
| Severity Level | SEV-N |
| Affected Users | Approx. N |
| SLA Violation | Yes/No |
| Error Budget Consumption | N% |
| Estimated Revenue Loss | $N |
## Detailed Assessment
### SLI/SLO Impact
### User Impact
### Financial Impact
### Reputation Impact
## Recovery Cost
- Engineering hours: N person-hours
- Infrastructure cost: $N
- External vendor cost: $N© revfactory, 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
Just SKILL.md in en/25-incident-postmortem/.claude/skills/sla-impact-calculator of revfactory/harness-100.
Open the folder on GitHubat commit 8e8d35c
Sla Impact Calculator 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 |
|---|---|---|---|---|---|---|
| Sla Impact Calculator this skillrevfactory/harness-100 | 1.3k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Inference Autopilotrednote-machine-learning/Inference-autopilot | 144 | — | ~4.5k | Automated safety check: Pass | Apache-2.0 | |
| Executing Distributed System Testsshenli/distributed-system-testing | 231 | — | ~5.1k | Automated safety check: Notes | MIT | |
| Alerting Irmgrafana/skills | 282 | 1 repos | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Slo Implementationwshobson/agents | 40k | 11 repos | ~1.7k | Automated safety check: Pass | MIT | |
| Agentforce D360 Analyzeforcedotcom/sf-skills | 1.1k | — | ~3.4k | Automated safety check: Pass | Apache-2.0 |
rednote-machine-learning/Inference-autopilot
Analyze, benchmark, diagnose, and optimize large-model inference deployments from hardware inventory, model details, workload traces, and latency or throughput SLOs.
shenli/distributed-system-testing
A skill your agent uses when running a previously designed distributed-systems test plan against a real or simulated cluster — driving fault injection, workload, chaos scenarios, linearizability /…
grafana/skills
Configure Grafana Alerting, Incident Response Management (IRM), and SLOs end-to-end — provisions Grafana-managed and data-source-managed alert rules, contact points (Slack/PagerDuty/email/webhook)…
wshobson/agents
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting.
forcedotcom/sf-skills
Data Cloud 360° view of a single Agentforce session. An agent skill from forcedotcom/sf-skills.
grafana/skills
Write, validate, and optimize PromQL for Prometheus / Grafana Mimir / Grafana Cloud Metrics.
revfactory/harness-100
A skill for analyzing website anti-bot defense mechanisms and developing legitimate evasion strategies.
revfactory/harness-100
Reference for designing how an API reports failures: structured error codes, response shapes, client-friendly messages, an error catalog and retry or fallback advice.
revfactory/harness-100
Walks a backend-dev agent through OWASP API Top 10 checks, authentication and authorization patterns, and defense code during API design.
revfactory/harness-100
Methodology for systematically designing and generating CLI tool argument parser structures.
revfactory/harness-100
Audience segmentation skill used by the analyst and curator agents.
revfactory/harness-100
Audio storytelling skill used by the podcast scriptwriter and show note editor.
Categories
Calculation models and business impact matrices for quantitatively assessing incident impact based on SLA/SLO. Sla Impact Calculator is an agent skill from revfactory/harness-100. Calculation models and business impact matrices for quantitatively assessing incident impact based on SLA/SLO.
Sla Impact Calculator fits situations like: impact assessment; revenue loss estimation; availability calculation; incident cost assessment.
Run `npx skills add revfactory/harness-100 --skill sla-impact-calculator -a claude-code`. Or copy the skill folder (en/25-incident-postmortem/.claude/skills/sla-impact-calculator in revfactory/harness-100) into .claude/skills/sla-impact-calculator in your project. Claude Code loads it when a task matches its description.
Run `npx skills add revfactory/harness-100 --skill sla-impact-calculator -a codex`. Or copy the skill folder (en/25-incident-postmortem/.claude/skills/sla-impact-calculator in revfactory/harness-100) into .agents/skills/sla-impact-calculator 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 revfactory/harness-100 --skill sla-impact-calculator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sla-impact-calculator, .gemini/skills/sla-impact-calculator, .github/skills/sla-impact-calculator and .opencode/skills/sla-impact-calculator in your project.
SKILL.md names no scripts, command-line tools or credentials: Sla Impact Calculator 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.
Sla Impact Calculator 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.
About 1.2k tokens (SKILL.md is roughly 4.8k 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 Sla Impact Calculator: Inference Autopilot (rednote-machine-learning/Inference-autopilot, 144 stars), Executing Distributed System Tests (shenli/distributed-system-testing, 231 stars), Alerting Irm (grafana/skills, 282 stars) and Slo Implementation (wshobson/agents, 40k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
revfactory (a GitHub user) maintains it in revfactory/harness-100, which has 1,295 GitHub stars. The repository holds 274 skills in this directory. The repository was last updated on March 22, 2026.
Source: revfactory/harness-100 on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.