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 skills add harness/harness-ai --skill generate-slsagit clone --depth 1 https://github.com/harness/harness-aiWrote 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.
[](https://agentmods.dev/skills/harness/harness-ai/generate-slsa)<a href="https://agentmods.dev/skills/harness/harness-ai/generate-slsa"><img src="https://agentmods.dev/badge/skills/harness/harness-ai/generate-slsa/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/harness/harness-ai/generate-slsa"><img src="https://agentmods.dev/badge/skills/harness/harness-ai/generate-slsa.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00180 | $0.02944 |
| Opus 5 | $0.00090 | $0.01472 |
| Sonnet 5 | $0.00036 | $0.00589 |
| Haiku 4.5 | $0.00018 | $0.00294 |
Grade A, and why
generate-slsa 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 8d 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.
This is a copy
100% identical to generate-slsa — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 303 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generate SLSA
Add a SLSA Generation step to an existing Harness pipeline to generate SLSA provenance and
optionally attest/sign the .att file in the container registry. Pipeline YAML uses
type: provenance (UI label: SLSA Generation; do not use SlsaGeneration — API rejects it).
This skill only works with existing pipelines — do not create standalone SLSA-only pipelines.
Prerequisites: Image must be built and pushed (or available in registry) before SLSA runs.
Key-based attestation requires Cosign key pair secrets (/create-secret). Harness Cloud builds
enable SLSA Level 3 provenance when using hosted infrastructure.
Guide the user through a step-by-step interactive wizard (same UX as /configure-repo-scan):
- Wizard:
references/interactive-wizard-flow.md - UI ↔ YAML:
references/slsa-generation-step.md - CD containerized step groups:
references/cd-containerized-step-group.md
Interaction model (mandatory)
- One question per turn — use
AskQuestionwhen available; otherwise numbered options with(Recommended). - Opening message — add SLSA Generation after image build/push; mention attestation options.
- Progress breadcrumb — after pipeline fetch:
Pipeline · Placement · Source · Details · Attestation · Submit - Record answers — running summary; do not re-ask unless the user changes direction.
- Fetch before configure —
harness_getbefore placement/source questions. - Show pipeline structure — highlight build/push steps and existing
provenance/SscaOrchestrationsteps (UI: SLSA Generation). - Infer connector from build/push — skip connector question when unambiguous from YAML.
- Never guess image tags — always ask for image/repo in Phase 7.
- Confirm before write — summary +
harness_updateonly after user confirms. - Stop after update — after successful
harness_update, provide a configuration summary and point the user to/run-pipelineto execute. Do not callharness_execute, poll executions, or runharness_diagnosein this skill (same pattern as/configure-repo-scan). - Phase 3 Placement is mandatory — always run Phase 2 then Phase 3, even with one CI stage or prior session context.
- Sequential with SBOM — if
SscaOrchestrationexists, place SLSA after it; never parallel (Cosign race). - CD path — Deploy stage steps go inside containerized
stepGrouponly — see CD reference.
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 8d ago First seen · 303 lines · 180 tokens per session scan A 48fc57b8768f
generate-slsa is a skill published in the GitHub repository harness/harness-ai (19 stars, last pushed 17d ago), licensed Apache-2.0. It adds 180 tokens to every session and 2,944 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to generate-slsa, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
import-prom-rule
Bulk import of a Prometheus alert rule YAML file (create a whole set of rules at once). Dedicated to handling a remote URL or local YAML text, automatically parsing the three formats groups / a plain rules array / a single rule. ⚠️ Do not use this skill for single-rule creation — when the user describes a single alert…
chinese-git-workflow
A reference for configuring Git with Chinese code-hosting services such as Gitee, Coding.net, GitLab China, and CNB, including SSH, HTTPS, credentials, CI, and repository mirroring.
configure-env-variables
Configures environment variables for Power Pages site settings to support ALM across environments. Creates environment variable definitions in Dataverse, guides the user through linking site settings to those variables via the Power Pages Management app, adds the variables to the solution, and generates a…
atmos-profiles
Atmos profiles: profile directories, --profile and ATMOSPROFILE activation, profile merge behavior, environment switching, and routing profile-specific auth/toolchain/config overrides.
webhook-management
Configure and validate CCAM webhook targets across supported chat, incident, automation, and generic providers. Use when listing provider requirements, creating or updating a target, scoping it to alert rules, sending a test notification, reviewing delivery history, or deleting a target.
monorepo-management
Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.