Pathwise — AI skill for Claude Code
Trajectory evaluation for AI agents.
How to install Pathwise
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open YashShelar007/pathwise and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Pathwise does
Trajectory evaluation for AI agents. Grade the path, not just the destination.
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README
pathwise
**Trajectory evaluation for AI agents. Grade the path, not just the destination.**
[](https://github.com/YashShelar007/pathwise/actions/workflows/ci.yml) [](LICENSE) 
Archived, August 2026
**This library is no longer maintained.** What it does is now covered better elsewhere, and it is more useful to say so than to leave the repo looking alive.
**What it was.** A pytest plugin for asserting an agent's *trajectory* rather than its output: that one tool was called before another, that a tool was never called, that a run stayed under a step budget, that it did not loop, and that errors were surfaced rather than silently recovered from. Assertions ran across N repeated runs and reported a pass-rate distribution instead of a single boolean, because agents are stochastic and one run tells you very little.
**What changed.** A survey of the field on **2026-08-23** found each of those capabilities shipped, most within the preceding four months:
- DeepEval —
AgentLoopDetectionMetric(May 2026), fully deterministic: tool-call repetition, reasoning stagnation, and DFS cycle detection over the call graph.ToolPermissionMetric(July 2026) for allow/deny lists. Python, pytest-native, Apache-2.0, shipping weekly.- Braintrust —
agentAssertionScorer(2026-07-06):toolOrder,notCalledTool,usedNoTools,maxToolCalls. TypeScript only.- promptfoo —
trajectory:tool-sequenceandtrajectory:step-count, with anot-prefix for negation. Requires OpenTelemetry wiring.- Anthropic —
claude plugin evalin the Claude C
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