assess-risk

assess-risk is a skill for Claude Code from leifericf/agentic-sdk. It costs 12 tokens per session (434 once invoked), scanned A, original, MIT.

A pre-release review that examines the risks of a software change and prepares a safe way to launch and undo it. It considers affected systems, dependencies, monitoring signals, and possible damage.

In plain words
What is it for?
Use it before deploying a pull request, configuration change, feature, or data-structure change. It helps define rollout steps, warning thresholds, rollback triggers, owners, and go/no-go criteria.
Why use it?
It reduces the chance that a release causes an outage, data problem, or other unexpected impact without a response plan. It makes the decision to release, delay, or add safeguards explicit.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/leifericf/agentic-sdk/assess-risk
Any agent
npx skills add leifericf/agentic-sdk --skill assess-risk
Clone the repo
git clone --depth 1 https://github.com/leifericf/agentic-sdk

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for assess-risk

README.md
[![agentmods](https://agentmods.dev/badge/skills/leifericf/agentic-sdk/assess-risk.svg)](https://agentmods.dev/skills/leifericf/agentic-sdk/assess-risk)
Your own site
<a href="https://agentmods.dev/skills/leifericf/agentic-sdk/assess-risk"><img src="https://agentmods.dev/badge/skills/leifericf/agentic-sdk/assess-risk.svg" alt="Measured on agentmods" height="20"></a>
Per session 12 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 434 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00012 $0.00434
Opus 5 $0.00006 $0.00217
Sonnet 5 $0.00002 $0.00087
Haiku 4.5 $0.00001 $0.00043

Measured 6d ago against content hash 7a4e085bf4c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

assess-risk scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/assess-risk/SKILL.md · 45 lines

What it actually says

assess-risk

Pre-deployment risk assessment for a release or change. Ship's release-risk recipe, not a planning dimension, despite the name.

Procedure

  1. Read the dispatched inputs: a PR or diff summary, release notes or change description, feature-flag or config change, and prior incidents or SLOs.
  2. Gather context, at most three questions, preferring pick-one (rollout strategy, blast radius) and binary (confirm non-negotiables).
  3. Summarize the change: what changes, what systems are touched, any data-shape changes.
  4. Assess blast radius: who and what can be affected, worst-case impact.
  5. Map external and internal dependencies and their expected failure behavior.
  6. Design the rollout plan: strategy (all-at-once, staged, canary, feature flag), steps, guardrails.
  7. Design the monitoring plan: key signals, thresholds, where to watch.
  8. Design the rollback plan: triggers, steps, expected recovery time.
  9. Build the risk register: each risk with likelihood, impact, mitigation, detection method, owner.
  10. Define go/no-go criteria and render the decision: go, go with conditions, or no-go pending.
  11. Write ~/.agentic-sdk/<project>/artifacts/ops/YYYY-MM-DD_risk_<change_slug>.md with: Metadata, Change Summary, Blast Radius, Dependencies, Rollout Plan, Monitoring Plan, Rollback Plan, Risk Register, Go/No-Go Criteria, Open Questions, Decision. Slug: lowercase, hyphens, descriptive.

Boundaries

Owns pre-deployment production risk for a release. analyze-root-cause owns incident root cause; assess-rollout owns feature rollout planning during feature work. Reached by ship.

Return

One line: the artifact written and the go/no-go decision, or blocked: <reason>.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 45 lines · 12 tokens per session scan A 7a4e085bf4c6

Subscribe to this mod's changes

assess-risk is a skill published in the GitHub repository leifericf/agentic-sdk (5 stars, last pushed 4d ago), licensed MIT. It adds 12 tokens to every session and 434 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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