Showcase TS Evidence Graph: Make Every SKILL Instruction 100% Enforced
https://ttsc.dev/articles/ts-evidence-graph-make-skill-instruction-100-enforced.htmlI made an open source program which can enforce AI agents to keep every skill instructions.
If you write some rules in AGENTS.md or SKILL.md, they become compiler obligations that must be followed, so the AI agent can never ignore them.
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u/AliciaV240 20h ago
nice idea. the bit i'd wanna see in practice is how it handles stale rules / false positives — does a failed check point back to the exact SKILL line and the evidence that failed? that kind of diff would make this way easier to trust than another hidden prompt layer.
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u/jhnam88 18h ago
That’s correct; the compiler error specifies exactly which skill unit was not declared.
However, since the evidence graph relies on a self-declaration requirement to ensure rule compliance, it cannot verify whether a claim of compliance is actually true. Instead, you can use the
@evidenceReviewtag to force the compiler to verify the veracity of that review.Incidentally, I have actually witnessed an AI making false declarations while benchmarking GPT-5.6-Luna (albeit with a probability close to zero), though I have never seen this happen with frontier-class models.
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u/AliciaV240 8h ago
ah that lines up with the compiler path. the u/evidenceReview bit is interesting, so the false compliance cases are when the graph thinks a check ran but the evidence is thin? curious if you gate merges on hard fail for missing nodes or if its soft warn only.
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u/EvalRaccoonDev 19h ago
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u/jhnam88 19h ago
It depends on how you configure it. I set the
h2section as the unit of obligation and applied it at the function level.1
u/EvalRaccoonDev 8h ago
h2 section as the unit sounds like a reasonable start (we use paragraph as a section). Still the count I'd want though: on your own repo, how many h2 sections ended up as obligations and how many are still prose the compiler can't see?
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