assess

assess is a skill for Claude Code from quay/ai-helpers. It costs 51 tokens per session (1,294 once invoked), scanned A, original, MIT.

A security-triage skill that checks whether a project is affected by a known software vulnerability, such as a CVE, and records the result.

In plain words
What is it for?
It is for assessing CVEs using sources such as NVD, GitHub advisories, and the Go vulnerability database, then writing an assessment and optionally commenting in Jira.
Why use it?
It prevents teams from attempting the wrong fix by checking advisory data, dependency presence, and whether the issue needs a package update, code change, or no action.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the cve plugin — 4 skills shipped together

Good fit It is for assessing CVEs using sources such as NVD, GitHub advisories, and the Go vulnerability database, then writing an assessment and optionally commenting in Jira.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add quay/ai-helpers
Claude Code
/plugin install cve

Made for: Claude Code.

Or install cve, the plugin that ships this one along with the rest of its 4 skills.

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

README.md
[![agentmods](https://agentmods.dev/badge/skills/quay/ai-helpers/assess.svg)](https://agentmods.dev/skills/quay/ai-helpers/assess)
Your own site
<a href="https://agentmods.dev/skills/quay/ai-helpers/assess"><img src="https://agentmods.dev/badge/skills/quay/ai-helpers/assess.svg" alt="Measured on agentmods" height="20"></a>
Per session 51 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,294 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00051 $0.01294
Opus 5 $0.00026 $0.00647
Sonnet 5 $0.00010 $0.00259
Haiku 4.5 $0.00005 $0.00129

Measured 2d ago against content hash f57693ebe03c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

assess scanned grade A with 1 finding 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 2d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Bash(curl *)
plugins/cve/skills/assess/SKILL.md · 149 lines

How it starts

The opening of the file, as written. The whole thing — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Assess CVE Impact

Purpose

Mandatory triage gate before any fix attempt. Gather advisory data, determine whether the project is actually affected, and classify into one of five categories:

Verdict Meaning
package-bump Direct dependency bump fixes the CVE
go-stdlib Go standard library CVE — fix via toolchain/base image
rpm-layer Package from RPM/base image, not app deps
code-change-required Fix needs code changes beyond a bump
not-affected VEX justification applies

Inputs (from caller or env)

Input Env var Required
CVE ID CVE_ID yes
Package name PACKAGE yes
Upstream repo UPSTREAM_REPO yes
Git branch to assess GIT_BRANCH yes
Jira key JIRA_KEY if available
Go module path GO_MOD_PATH default .
Artifact output dir CVE_ARTIFACT_DIR default artifacts/cve/assess
Clone root CVE_CLONE_ROOT default /tmp

Process

1. Fetch advisory data

Run the advisory scripts (fall back to Jira description if APIs fail):

bash "${CLAUDE_PLUGIN_ROOT}/scripts/cve-fetch-nvd.sh" "$CVE_ID"
bash "${CLAUDE_PLUGIN_ROOT}/scripts/cve-fetch-ghsa.sh" "$CVE_ID"
bash "${CLAUDE_PLUGIN_ROOT}/scripts/cve-fetch-go-vuln.sh" "$CVE_ID"

Extract: affected range, fixed version, ecosystem, affected symbols.

2. Clone repo and checkout branch

REPO_DIR="${CVE_CLONE_ROOT}/assess-${UPSTREAM_REPO//\//__}"
gh repo clone "$UPSTREAM_REPO" "$REPO_DIR" -- --depth=1 2>/dev/null || true
if [ ! -d "$REPO_DIR" ]; then
  echo "ERROR: Failed to clone $UPSTREAM_REPO" >&2
  exit 1
fi
cd "$REPO_DIR"
git fetch origin "$GIT_BRANCH" --depth=1 2>/dev/null || \
  git fetch origin "${CVE_DEFAULT_BRANCH:-master}" --depth=1
git checkout "$GIT_BRANCH" 2>/dev/null || git checkout "${CVE_DEFAULT_BRANCH:-master}"

3. Check package presence and extract version

Search manifests:

grep -ri "${PACKAGE}" requirements*.txt setup.py pyproject.toml 2>/dev/null
grep -i "${PACKAGE}" "${GO_MOD_PATH}/go.mod" 2>/dev/null
grep -i "${PACKAGE}" package.json */package.json 2>/dev/null

Read the full file on GitHub · 149 lines

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. 2d ago First seen · 149 lines · 51 tokens per session scan A f57693ebe03c

Subscribe to this mod's changes

assess is a skill published in the GitHub repository quay/ai-helpers (3 stars, last pushed 20d ago), licensed MIT. It adds 51 tokens to every session and 1,294 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-04.

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