BF harness-engineering
Design, build, diagnose, and evolve agent harnesses: instructions, tools, execution environments, durable state, context management, verification, recovery, and bounded autonomous loops. Use for unreliable coding agents, cross-session drift, premature completion, harness audits, or changes to the runtime around a model. Do not use for prompt rewriting alone, model training, general application architecture, or operating an already evaluated agent in production; route those concerns to their specialist skills.
Design, build, diagnose, and evolve agent harnesses: instructions, tools, execution environments, durable state, context management, verification, recovery…
As a process F 47/100 · Will not run — References files that are not bundled: ../systematic-debugging/SKILL.md, ../langgraph/SKILL.md, ../pydanticai/SKILL.md
How to improve
- The text references files that are not there: add them or drop the references.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 41. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: ../systematic-debugging/SKILL.md - warning
missing-refreference to a missing file: ../langgraph/SKILL.md - warning
missing-refreference to a missing file: ../pydanticai/SKILL.md - warning
missing-refreference to a missing file: ../autogen/SKILL.md - warning
missing-refreference to a missing file: ../agent-evals-and-observability/SKILL.md - warning
missing-refreference to a missing file: ../agent-production-operations/SKILL.md - warning
missing-refreference to a missing file: ../agent-skills/SKILL.md - warning
missing-refreference to a missing file: ../secure-software-engineering/SKILL.md - warning
missing-refreference to a missing file: ../ai-governance/SKILL.md
Process rating: all ten parameters 47/100
- 0Tools and files. 9 referenced file(s) missing: ../systematic-debugging/SKILL.md, ../langgraph/SKILL.md, ../pydanticai/SKILL.md
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 3 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Steps. 12 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2850 tokens
- low No test case covers injection arriving through data
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +3Output format is not stated: the model decides each time
- -32 of 4 scripts are never mentioned in SKILL.md
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 514: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 12 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (16 of 16)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 78.