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recall-before-claim

Forces a memory_search before the agent sends a message containing a factual assertion that has not yet been grounded this turn. Closes the citation-rate gap from ~40% to ~90%+.

51

Quality

56%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

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tessl review fix ./skills/recall-before-claim/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

70%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A lean, well-organized simple-skill body with clear firing logic and good section structure. It could be tightened by trimming motivational prose and made more actionable by specifying how factual-assertion shapes are detected.

DimensionReasoningScore

Conciseness

The body is lean and assumes competence, but the 'Why this exists' and 'What you'll see' sections explain motivation the agent largely already grasps, so it could be tightened.

2 / 3

Actionability

Provides concrete specifics (30s grounding window, 8-fire cap, skip rules, implementation path) but only describes how 'factual-assertion shape' detection works rather than specifying it, leaving a key detail implicit.

2 / 3

Workflow Clarity

For this simple single-action interceptor, the fire sequence (detect ungrounded assertion → require memory_search → integrate → send) and skip conditions are unambiguous, with no destructive operation needing validation loops.

3 / 3

Progressive Disclosure

Under 50 lines with no need for external references, organized into clear sections; the single implementation path is a one-level pointer, not a nested reference chain.

3 / 3

Total

10

/

12

Passed

Description

42%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is specific about a single concrete action and carves out a distinct niche, but relies on technical jargon instead of natural trigger terms and omits an explicit 'Use when' clause. Adding user-facing trigger guidance would raise completeness and trigger_term_quality.

Suggestions

Add an explicit 'Use when...' clause describing the natural situations that should activate this skill.

Replace or supplement internal jargon ('factual assertion', 'grounded this turn') with terms a user would naturally say.

Optionally enumerate the concrete behaviors it performs (skip opinions/questions, 30s grounding window, fire cap) to move specificity toward 3.

DimensionReasoningScore

Specificity

Names a concrete action ('Forces a memory_search before the agent sends a message containing a factual assertion') plus a measurable outcome, but does not enumerate multiple concrete actions like a score-3 description would.

2 / 3

Completeness

Clearly states what it does, but lacks an explicit user-facing 'Use when' trigger clause — the firing condition is framed as a mechanism, so 'when' is only implied.

2 / 3

Trigger Term Quality

Uses internal mechanics jargon ('memory_search', 'factual assertion', 'grounded this turn') rather than natural keywords a user would say; no 'Use when...' phrasing.

1 / 3

Distinctiveness Conflict Risk

Targets a narrow, well-defined niche (citation-grounding before outgoing messages) tied to a specific tool, making it unlikely to conflict with unrelated skills.

3 / 3

Total

8

/

12

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
Bitterbot-AI/bitterbot-desktop
Reviewed

Table of Contents

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