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.
npx agentmods add skills/chainloop-dev/chainloop/vulnerability-remediationnpx skills add chainloop-dev/chainloop --skill vulnerability-remediationgit clone --depth 1 https://github.com/chainloop-dev/chainloopWhat 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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00048 | $0.02378 |
| Opus 5 | $0.00024 | $0.01189 |
| Sonnet 5 | $0.00010 | $0.00476 |
| Haiku 4.5 | $0.00005 | $0.00238 |
Grade A, and why
vulnerability-remediation 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 today.
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.
curl -s "https://registry.hub.docker.com/v2/repositories/arigaio/atlas/tags?page_size=20&ordering=last_updated" \ How it starts
The opening of the file, as written. The whole thing — 223 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vulnerability Remediation for chainloop
This skill reviews open vulnerability policy violations recorded in Chainloop for the chainloop project and applies fixes to the affected source files.
Step 1: Find the Latest Project Version
Use list_products_with_versions (no parameters needed — uses the current chainloop org) and locate the Chainloop Community Edition product. Find the chainloop project version entry and note its projectVersionId (UUID).
Step 2: Gather Compliance Results and Evidence in Parallel
Once the projectVersionId is known, make both of these calls at the same time:
Call A — get_frameworks_compliance:
project_version_id: the UUID from Step 1framework_ids:["0ceef195-6900-4166-8407-77eb84954ed3"](chainloop-best-practices)
Call B — list_pieces_of_evidence:
project_name:chainloopproject_version_name: the version name from Step 1 (e.g.v1.77.0)latest:true
Parsing the compliance result (Call A)
The response will be large — parse it programmatically using a Bash subagent:
import json
with open('<tool-result-file>') as f:
raw = json.load(f)
data = json.loads(raw[0]['text'])
for req in data:
if 'vulnerabilit' in req.get('name', '').lower():
status = req.get('status', '')
failed = [e for e in req.get('policyEvaluations', [])
if e.get('status') not in ('PASSED', 'SKIPPED')]
print(f"Requirement: {req['name']} — Status: {status}")
for e in failed:
print(f" FAILED: policy={e['name']} material={e.get('materialName','-')} status={e.get('status','-')}")
This gives you the list of failing material names (e.g. control-plane-migrations-report).
Step 3: Download the SARIF for Each Failing Material
From the list_pieces_of_evidence result (Call B above), find the item whose name matches the failing material name and whose kind is SARIF. Use its digest field directly — no need to decode attestations.
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.
- today First seen · 223 lines · 48 tokens per session scan A 231451a9b233
vulnerability-remediation is a skill published in the GitHub repository chainloop-dev/chainloop (583 stars, last pushed yesterday), licensed Apache-2.0. It adds 48 tokens to every session and 2,378 once invoked, about $0.0002 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 2026-09-01.
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