Before sharing an agent skill, test the exact package from a location outside the author’s source repository. Check that its references, scripts and assets remain available when the task’s working directory changes. A demonstration in the development checkout can succeed because of files, paths or installed dependencies that the recipient will never receive.
For teams maintaining reusable business workflows, the immediate decision is what the distributed package must contain and what its environment must supply. Keep those responsibilities explicit. A missing template should produce an identifiable failure, rather than an assistant silently reconstructing something similar and presenting it as the approved workflow.
This guide proposes a package review and reports a small local Python fixture. It does not claim that a skill was installed or exercised in Claude Code, ChatGPT, Copilot or another assistant. The fictional report helper below is an illustration, not a complete installable skill.
The directory is part of the procedure
The Agent Skills specification defines a required SKILL.md and optional supporting resources such as scripts, references and assets. It recommends relative file references from the skill root and says scripts should be self-contained or clearly document dependencies. Its described validation checks frontmatter and naming conventions.
That distinction matters: valid metadata does not establish that a template was included, a script can find it or the required runtime exists. Treat format validation as one check in the publication process, with file availability and execution checked separately.
Anthropic’s October 2025 engineering account of Agent Skills describes bundling supporting documents and executable helpers, with representative-task evaluation during development. It is vendor practitioner guidance, not independent proof that a package works after transfer. The useful implication we draw is to evaluate the resources actually delivered, not just the prose that describes them.
A package can legitimately depend on external software or an approved service. It should say so. “Portable” should not mean pretending that a Python helper runs in an environment with no Python execution facility.
Distinguish the package, project and working directory
Three locations can differ. The skill root contains reusable instructions and bundled resources. The project or task workspace contains the user’s current inputs and outputs. The process’s current working directory is where relative filesystem operations begin unless the program establishes another base.
A reference written as assets/template.txt in the skill’s documentation expresses a relationship within the package. A Python call to Path('assets/template.txt') instead starts from the process’s working directory. Those two interpretations coincide only when the invocation happens to start in the expected folder.
For a helper located directly in scripts/, an illustrative Python resource lookup is:
from pathlib import Path
skill_root = Path(__file__).resolve().parent.parent
template_path = skill_root / "assets" / "template.txt"This snippet assumes that directory layout. It is not a general skill-discovery algorithm. If the helper is nested more deeply, or installation uses links, review the resolved location rather than assuming the same parent calculation remains correct.
Keep task input and output locations explicit instead of rebasing them indiscriminately onto the skill directory. A bundled template belongs with the package; the user’s new report usually belongs in the agreed task workspace. Resource discovery should not quietly redirect work products into an installed skill folder.
A fictional report helper reveals the dependency
Imagine a skill that prepares a service-update draft using an approved text template. Its package contains a helper under scripts/ and the template under assets/. The helper must read that template rather than invent its own layout.
We tested a small version of this situation with Python 3.12.14. A helper using a working-directory-relative path returned the expected draft when launched from its source folder. We copied the files to a different location, removed the original source folder and launched from a separate task workspace. The same helper failed because its relative resource lookup no longer found the template.
A second helper using a script-relative lookup returned the expected draft after that relocation. The temporary installation and workspace paths contained spaces. Finally, we removed the bundled template: the second helper exited with status 2, wrote a missing-template diagnostic and produced no draft on standard output.
These are local filesystem and subprocess observations. They do not establish native skill loading, assistant orchestration, compatibility across operating systems or the quality of a real service report. No assistant generated the output in this fixture.
The deliberate missing-file case is useful because it checks the boundary of the procedure. If the approved template is required, a plausible replacement is a different method. Decide whether a fallback is permitted and identify it visibly; do not let absence redefine the package’s contract.
Test the artifact recipients actually receive
Use the release archive or installed copy produced by the real distribution process. A correct source directory can still produce an incomplete archive because of an allowlist, ignored file or packaging rule. Inspect the resulting file list before running anything.
Our proposed checks are:
| Check | Evidence to retain |
|---|---|
| Required references and assets | Named files exist in the delivered copy with expected contents |
| Helper launched from another directory | Resource lookup does not depend on starting in the source checkout |
| Original checkout unavailable | No accidental fallback to author-only files |
| Supported paths containing spaces | Invocation passes paths correctly in the intended environment |
| Required resource removed | Clear failure, with no apparently completed output |
| Runtime prerequisite absent | Identifiable prerequisite failure rather than silent substitution |
These are package checks, not a security certification. Inspect links and external dependencies too: an apparently local path can still resolve outside the delivered tree. Where that dependency is intentional, document it rather than describing the package as self-contained.
Keep a manifest or equivalent release record of the files that matter. If resources are generated during packaging, inspect the emitted versions. Recording the source revision is useful, but it does not substitute for identifying the bytes recipients install.
Product-specific path support needs product-specific evidence
Claude Code’s current skills documentation describes ${CLAUDE_SKILL_DIR} as the directory containing the skill’s SKILL.md, including the skill subdirectory within a plugin. It documents substitution for referring to bundled resources independently of the current working directory.
That is a Claude Code feature. It should not be copied into a provider-neutral skill and assumed to expand in every assistant. Check the target implementation’s supported path mechanism and installation model. The common directory format and a product’s substitution syntax are different layers.
Record the actual assistant surface, version where available, installation location and execution facilities in an end-to-end test. Observe which resource was read and which helper was invoked. A successful local script does not prove the assistant will choose it, pass the intended input or respect its failure result.
For reference-selection behavior, our guide to what an agent should read and when covers the instruction design. Here the earlier packaging question is whether the selected file can actually be obtained from the installed copy.
Keep package checks separate from task evaluation
The June 2026 revision of SkillsBench evaluates skills in defined task environments with programmatic verifiers. It distinguishes the skill package from the harness that exposes tools and resources, and notes limits in generalizing terminal-based, containerized tasks to other settings.
That research motivates making the environment and outcome check explicit; it does not validate our relocation checklist or estimate how often shared skills have missing files. We use no benchmark score as a forecast of business performance.
After package checks pass, run a representative task in the intended assistant. Check the output against the real procedure, including required-resource failure. Keep separate results for package completeness, helper execution and assistant behavior so a later failure points to something actionable.
Start with the exact artifact you plan to distribute, one ordinary task and one missing-resource case. If success still depends on the author’s checkout, repair that dependency before treating the workflow as ready for colleagues.